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Research facility · Milan · Italy

Human Technopole

In research, Human Technopole stands highest in Life Sciences (#1,579 of 7,800 worldwide) and Biochemistry, Genetics and Molecular Biology (#772 of 3,579 worldwide), 2022–2025. Relative to its size it is most specialised in Biochemistry, Genetics and Molecular Biology and Molecular Biology — Biochemistry, Genetics and Molecular Biology is 7.8× its share of world research.

World rank, 2022–2025
#3,442
of 28,054 · #10,005 all time
Rank in Italy
#96
of 618
Research works
317
▲ 455% vs 2013–17
Citations
6.1k
19.2 per fractional work
Top-10% rate
33.7%
record average 16.5%
Open access
69%
world 28%

What is Human Technopole known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Life SciencesDomain #1,579 of 7,800 40.1%80 #4606
Biochemistry, Genetics and Molecular BiologyField #772 of 3,579 42.5%66

Each strip is that field’s whole ranked pool, with the notch where Human Technopole 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 Human Technopole specialise in?

Where its research is concentrated relative to its size: Biochemistry, Genetics and Molecular Biology takes 7.8× the share of its output that it takes of world research.

  1. Biochemistry, Genetics and Molecular BiologyField · 65.9 works7.8×
  2. Molecular BiologySubfield · 36.4 works7.6×
← less than its size predictsmore →

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: 0.49× its world share, 4 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 7.80× its world share, 66 worksBiochemistry, Geneti…Immunology and Microbiology: 2.61× its world share, 4 worksImmunology and Micro…Neuroscience: 2.39× its world share, 6 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.04× its world share, 0 worksPharmacology, Toxico…Chemistry: 0.37× its world share, 1 worksChemistryComputer Science: 0.71× its world share, 9 worksComputer ScienceEarth and Planetary Sciences: 0.28× its world share, 1 worksEarth and Planetary …Energy: 0.30× its world share, 0 worksEnergyEngineering: 0.31× its world share, 8 worksEngineeringEnvironmental Science: 0.27× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.43× its world share, 2 worksMaterials ScienceMathematics: 1.47× its world share, 3 worksMathematicsPhysics and Astronomy: 0.83× its world share, 3 worksPhysics and AstronomyDentistry: 0.26× its world share, 0 worksDentistryHealth Professions: 0.25× its world share, 1 worksHealth ProfessionsMedicine: 1.32× its world share, 40 worksMedicineNursing: 0.31× its world share, 0 worksNursingArts and Humanities: 0.07× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.21× its world share, 1 worksBusiness, Management…Decision Sciences: 0.78× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.22× its world share, 1 worksEconomics, Econometr…Psychology: 0.13× its world share, 1 worksPsychologySocial Sciences: 0.22× its world share, 4 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 7.8×. Every wedge is a field page.

Who are the top researchers at Human Technopole?

Ranked on the composite score, Florian Jug lead among researchers whose main affiliation is Human Technopole.

  1. 1 Florian Jug · #36,655 worldwide 541 citations · 33 works
All ranked researchers at Human Technopole

Which keywords describe research at Human Technopole?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Gene Expression, Image Processing, Cancer, RNA-Seq, Microscopy, Machine Learning, Genetic Variation and Data Integration.

▲ 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 Learning9▲ 1.81×20 topics
  2. Gene Expression9▲ 9.6×14 topics
  3. Deep Learning8▲ 1.57×23 topics
  4. Cancer8▲ 3.6×28 topics
  5. Image Processing6▲ 9.1×6 topics
  6. RNA-Seq5▲ 27×2 topics
  7. Microscopy5▲ 41×2 topics
  8. Genetic Variation4▲ 12×7 topics
  9. Precision Medicine4▲ 5.6×7 topics
  10. Data Integration4▲ 15×3 topics
  11. Targeted Therapy4▲ 11×5 topics
  12. Brain Development4▲ 14×6 topics
  13. Genomic Instability4▲ 21×3 topics
  14. Genome Engineering4▲ 37×1 topic
  15. RNA-Guided4▲ 37×1 topic
  16. Single-Cell4▲ 52×1 topic
  17. Transcriptomics4▲ 52×1 topic
  18. Gene Regulation4▲ 25×4 topics
  19. Genetic Mutations4▲ 5.3×13 topics
  20. Phylogenetic Analysis4▲ 7.4×4 topics
  21. Population Genetics3▲ 15×5 topics
  22. Bioimage Analysis3▲ 56×1 topic
  23. High-Content Screening3▲ 56×1 topic
  24. Somatic Mutations3▲ 24×2 topics
  25. Chromatin3▲ 39×2 topics
  26. Cancer Genomics3▲ 25×1 topic
  27. Cell-Free DNA3▲ 18×2 topics
  28. Ciliopathies3▲ 106×1 topic
  29. Epigenetic Regulation3▲ 8.3×6 topics
  30. Mutational Signatures3▲ 25×1 topic
  31. Predictive Modeling3▲ 6.5×3 topics
  32. Primary Cilium3▲ 106×1 topic
  33. Quantitative Analysis3▲ 8.6×4 topics
  34. Embryonic Stem Cells3▲ 39×2 topics
  35. Transcriptional Regulation3▲ 11×6 topics
  36. Texture Analysis3▲ 7.2×3 topics
  37. Cancer Progression2▲ 8.6×4 topics
  38. Differentiation2▲ 25×2 topics
  39. Epigenetics2▲ 36×3 topics
  40. Transcription Factors2▲ 13×2 topics

Which research topics does Human Technopole publish most on?

By volume in 2022–2025: Single-cell and spatial transcriptomics, CRISPR and Genetic Engineering, Cell Image Analysis Techniques and Genetic and Kidney Cyst Diseases.

  1. 1 Single-cell and spatial transcriptomicsMolecular Biology 4 works
  2. 2 CRISPR and Genetic EngineeringMolecular Biology 4 works
  3. 3 Cell Image Analysis TechniquesBiophysics 3 works
  4. 4 Genetic and Kidney Cyst DiseasesGenetics 3 works
  5. 5 Cancer Genomics and DiagnosticsCancer Research 3 works
  6. 6 Genetic Associations and EpidemiologyGenetics 2 works
  7. 7 Genomics and Chromatin DynamicsMolecular Biology 2 works
  8. 8 Pluripotent Stem Cells ResearchMolecular Biology 2 works
  9. 9 Radiomics and Machine Learning in Medical ImagingRadiology, Nuclear Medicine and Imaging 2 works
  10. 10 RNA Research and SplicingMolecular Biology 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 available69.3%not open30.7%

World: 28% of research is openly available.

with international co-authors57.9%domestic only42.1%

World: 19% is written across borders.

How has Human Technopole's research output changed?

Output in 2018–2022 was 455% higher 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 Milan

All research institutions in Milan

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.