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Company · Santa Clara · United States

Agilent Technologies (United States)

In research, Agilent Technologies (United States) stands highest in Physical Sciences (#3,018 of 21,541 worldwide), Engineering (#1,955 of 11,412 worldwide) and Electrical and Electronic Engineering (#1,197 of 4,248 worldwide), over all time. Relative to its size it is most specialised in Molecular Biology — Molecular Biology is 4.9× its share of world research.

agilent.com/homeROR OpenAlex
World rank, 2022–2025
#17,272
of 28,054 · #4,031 all time
Rank in United States
#2,473
of 4,192
Research works
1.9k
▼ 39% vs 2013–17
Citations
57k
29.1 per fractional work
Top-10% rate
9.8%
record average 16.5%
Open access
18%
world 28%

What is Agilent Technologies (United States) known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Physical SciencesDomain #3,018 of 21,541 20.8%1,388
EngineeringField #1,955 of 11,412 19.7%834
Electrical and Electronic EngineeringSubfield #1,197 of 4,248 19.2%529
Life SciencesDomain #4,831 of 14,347 27.2%326
Molecular BiologySubfield #1,955 of 4,961 25.6%183
Biochemistry, Genetics and Molecular BiologyField #3,252 of 7,814 24.5%247
Computer ScienceField #2,995 of 7,020 13.5%192
Physics and AstronomyField #1,600 of 3,663 22.4%121
Health SciencesDomain #13,991 of 20,462 18.1%156
MedicineField #12,482 of 17,978 17.9%141

Each strip is that field’s whole ranked pool, with the notch where Agilent Technologies (United States) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

What does Agilent Technologies (United States) specialise in?

Where its research is concentrated relative to its size: Molecular Biology takes 4.9× the share of its output that it takes of world research.

  1. Molecular BiologySubfield · 22.7 works4.9×
← less than its size predicts1×more →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.77× its world share, 6 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 4.53× its world share, 37 worksBiochemistry, Geneti…Immunology and Microbiology: 3.43× its world share, 5 worksImmunology and Micro…Neuroscience: 0.51× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 1.43× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 0.08× its world share, 0 worksChemical EngineeringChemistry: 2.84× its world share, 7 worksChemistryComputer Science: 0.44× its world share, 5 worksComputer ScienceEarth and Planetary Sciences: 0.11× its world share, 0 worksEarth and Planetary …Engineering: 0.63× its world share, 15 worksEngineeringEnvironmental Science: 0.64× its world share, 5 worksEnvironmental ScienceMaterials Science: 0.22× its world share, 1 worksMaterials ScienceMathematics: 0.20× its world share, 0 worksMathematicsPhysics and Astronomy: 0.20× its world share, 1 worksPhysics and AstronomyHealth Professions: 0.44× its world share, 2 worksHealth ProfessionsMedicine: 1.46× its world share, 44 worksMedicineNursing: 0.47× its world share, 0 worksNursingArts and Humanities: 0.41× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 2.20× its world share, 11 worksBusiness, Management…Decision Sciences: 0.71× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.94× its world share, 3 worksEconomics, Econometr…Psychology: 0.19× its world share, 1 worksPsychologySocial Sciences: 0.33× its world share, 6 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 4.5×. Every wedge is a field page.

Who are the top researchers at Agilent Technologies (United States)?

Ranked on the composite score, B. E. Lemoff, G. E. Höfler and Kenneth P. Parker lead among researchers whose main affiliation is Agilent Technologies (United States).

  1. 1 B. E. Lemoff United States · #167,878 worldwide 124 citations · 25 works
  2. 2 G. E. Höfler United States · #202,782 worldwide 128 citations · 25 works
  3. 3 Kenneth P. Parker United States · #236,660 worldwide 130 citations · 25 works
  4. 4 Daniel Y. Abramovitch United States · #239,768 worldwide 132 citations · 25 works
  5. 5 Ben Hur Wilson United States · #892,923 worldwide 4 citations · 20 works
  6. 6 Peter Tsang United States · #1,071,634 worldwide 9 citations · 30 works
  7. 7 Yama Abassi United States · #1,169,001 worldwide 51 citations · 18 works
  8. 8 Michael J. Riezenman United States · #1,194,896 worldwide 4 citations · 20 works
  9. 9 Lee Barford United States · #1,210,878 worldwide 26 citations · 25 works
  10. 10 Mal Leary United States · #1,306,003 worldwide 7 citations · 129 works
All ranked researchers at Agilent Technologies (United States)

Which keywords describe research at Agilent Technologies (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Precision Medicine, Digital Transformation, Mass Spectrometry, Cancer, Immunotherapy, Big Data, Quantitative Analysis and Targeted Therapy.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Machine Learning11▲ 2.1×20 topics
  2. Precision Medicine10▲ 13×7 topics
  3. Cancer9▲ 4.4×20 topics
  4. Digital Transformation8▲ 9.8×6 topics
  5. Mass Spectrometry8▲ 33×5 topics
  6. Big Data7▲ 5.3×7 topics
  7. Immunotherapy7▲ 6.3×8 topics
  8. Quantitative Analysis6▲ 20×3 topics
  9. Targeted Therapy6▲ 18×3 topics
  10. Artificial Intelligence6▲ 2.9×6 topics
  11. Imaging6▲ 16×2 topics
  12. Sustainable Development6▲ 2.4×5 topics
  13. Tumor Microenvironment6▲ 8.8×5 topics
  14. Genomic Instability6▲ 33×2 topics
  15. Predictive Modeling6▲ 13×3 topics
  16. Feature Extraction6▲ 7.8×3 topics
  17. Cancer Genomics5▲ 48×1 topic
  18. Cancer Immunotherapy5▲ 22×2 topics
  19. Medical Imaging5▲ 6.8×2 topics
  20. Mutational Signatures5▲ 48×1 topic
  21. Business Models5▲ 49×2 topics
  22. Genomics5▲ 12×6 topics
  23. E-commerce5▲ 5.6×2 topics
  24. Radiomics5▲ 29×1 topic
  25. Tumor Heterogeneity5▲ 29×1 topic
  26. Customer Experience5▲ 22×2 topics
  27. Data Analysis5▲ 12×5 topics
  28. Mobile Health5▲ 24×1 topic
  29. Technology Innovation5▲ 104×1 topic
  30. Tumor Regression5▲ 30×2 topics
  31. Lymphoma5▲ 19×2 topics
  32. Biomarkers5▲ 4.4×7 topics
  33. CAR T Cells5▲ 41×1 topic
  34. Chimeric Antigen Receptor5▲ 41×1 topic
  35. Quantitative4▲ 32×2 topics
  36. Monoclonal Antibodies4▲ 31×3 topics
  37. Glycosylation4▲ 24×3 topics
  38. Capacity Building4▲ 41×2 topics
  39. Proteomics4▲ 39×2 topics
  40. NMR Spectroscopy3▲ 25×2 topics

Which research topics does Agilent Technologies (United States) publish most on?

By volume in 2022–2025: Cancer Genomics and Diagnostics, Radiomics and Machine Learning in Medical Imaging, Digital Innovation in Industries and CAR-T cell therapy research.

Cancer Genomics and Diag…5Cancer Genomics and Diagnostics: 5 fractional worksRadiomics and Machine Le…5Radiomics and Machine Learning in Medical Imaging: 5 fractional worksDigital Innovation in In…5Digital Innovation in Industries: 5 fractional worksCAR-T cell therapy resea…5CAR-T cell therapy research: 5 fractional worksMetabolomics and Mass Spectrometry Studies: 3 fractional worksMedical Imaging Techniques and Applications: 3 fractional worksMass Spectrometry Techni…3Mass Spectrometry Techniques and Applications: 3 fractional worksCancer, Hypoxia, and Metabolism: 3 fractional worksBiotechnology and Related Fields: 2 fractional worksMonoclonal and Polyclonal Antibodies Research: 2 fractional works
Cancer ResearchRadiology, Nuclear Medicine and ImagingManagement of Technology and InnovationOncology3 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Cancer Genomics and Diagnostics Cancer Research 5 works
  2. 2 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 5 works
  3. 3 Digital Innovation in Industries Management of Technology and Innovation 5 works
  4. 4 CAR-T cell therapy research Oncology 5 works
  5. 5 Metabolomics and Mass Spectrometry Studies Molecular Biology 3 works
  6. 6 Medical Imaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 3 works
  7. 7 Mass Spectrometry Techniques and Applications Spectroscopy 3 works
  8. 8 Cancer, Hypoxia, and Metabolism Cancer Research 3 works
  9. 9 Biotechnology and Related Fields Public Health, Environmental and Occupational Health 2 works
  10. 10 Monoclonal and Polyclonal Antibodies Research Radiology, Nuclear Medicine and Imaging 2 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available17.5%not open82.5%

World: 28% of research is openly available.

with international co-authors20.8%domestic only79.2%

World: 19% is written across borders.

How has Agilent Technologies (United States)'s research output changed?

Output in 2018–2022 was 39% lower than in 2013–2017.

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Santa Clara

All research institutions in Santa Clara

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.