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Researcher · PathAI (United States) · United States

Jennifer Hipp

Jennifer Hipp publishes mostly in Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging, on topics such as Cancer Genomics and Diagnostics, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.

OpenAlex
World rank
#1,290,164
of 7,710,434 ranked researchers
Rank in United States
#410,691
of 1,627,098
Works
48
Citations
1.1k
Citations per work
22.6
h-index
14
i10-index 20Top 55% in Molecular Biology
Jennifer Hipp

What does Jennifer Hipp research?

Jennifer Hipp's work is mostly in Biochemistry, Genetics and Molecular Biology (29%), Medicine (23%), Computer Science (5%).

Everything else: 21 works · 43.4% of their workLife Sciences: 14 works · 29.1% of their workBiochemistry, Genetics and Molecular Biology: 14 works · 29.1% of their workMolecular Biology: 9 works · 19.4% of their workCancer Research: 5 works · 9.7% of their workHealth Sciences: 11 works · 22.7% of their workMedicine: 11 works · 22.7% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 8.1% of their workOncology: 4 works · 7.3% of their workPathology and Forensic Medicine: 4 works · 7.3% of their workPhysical Sciences: 2 works · 4.8% of their workComputer Science: 2 works · 4.8% of their workArtificial Intelligence: 2 works · 4.8% of their workTHEIR WORKJennifer Hipp48works
Life Sciences29%Physical Sciences5%Health Sciences23%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else2143.4%
    1. Biochemistry, Genetics and Molecular Biology1429.1%
    1. Medicine1122.7%
    1. Computer Science24.8%
  1. 1Molecular Biology19% of their works
  2. 2Cancer Research10% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Oncology7% of their works
  5. 5Pathology and Forensic Medicine7% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Jennifer Hipp's research?

The keywords of their largest research topics: Machine Learning, Cancer Genomics, Mutational Signatures, Gene Expression, Medical Imaging, Radiomics, Data Analysis and Normalization.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Machine Learning193 topics
  2. Cancer Genomics121 topic
  3. Mutational Signatures121 topic
  4. Gene Expression113 topics
  5. Medical Imaging101 topic
  6. Radiomics101 topic
  7. Data Analysis82 topics
  8. Normalization82 topics
  9. Deep Learning61 topic
  10. Medical Image Analysis61 topic
  11. Microsatellite Instability51 topic
  12. Molecular Characterization51 topic
  13. Quantitative51 topic
  14. Real-Time PCR51 topic
  15. Differential Expression31 topic
  16. Induced Pluripotent Stem Cells31 topic
  17. Microarray31 topic
  18. Pluripotent Stem Cells31 topic
  19. Single-Cell31 topic
  20. Transcriptomics31 topic

Where does Jennifer Hipp work?

Jennifer Hipp's main affiliation in the publication record is PathAI (United States), United States.

How many publications and citations does Jennifer Hipp have?

OpenAlex counts 48 works and 1,084 citations for Jennifer Hipp, an h-index of 14, ranking #1,290,164 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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