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Researcher · Gladstone Institutes · United States

Pawel F. Przytycki

Pawel F. Przytycki publishes mostly in Molecular Biology, Genetics and Biophysics, on topics such as Single-cell and spatial transcriptomics, Gene Regulatory Network Analysis and Genomics and Chromatin Dynamics.

ORCID 0000-0002-3360-6936 OpenAlex
World rank
#763,792
of 7,710,434 ranked researchers
Rank in United States
#256,060
of 1,627,098
Works
54
Citations
1.7k
Citations per work
32.3
h-index
17
i10-index 22Top 42% in Molecular Biology
Pawel F. Przytycki

What does Pawel F. Przytycki research?

Pawel F. Przytycki's work is mostly in Biochemistry, Genetics and Molecular Biology (76%), Medicine (7%).

Life Sciences: 41 works · 75.9% of their workBiochemistry, Genetics and Molecular Biology: 41 works · 75.9% of their workMolecular Biology: 31 works · 57.4% of their workGenetics: 5 works · 8.5% of their workBiophysics: 3 works · 5.7% of their workCancer Research: 2 works · 4.3% of their workEverything else: 9 works · 17.1% of their workHealth Sciences: 4 works · 7.0% of their workMedicine: 4 works · 7.0% of their workCardiology and Cardiovascular Medicine: 2 works · 3.5% of their workOncology: 2 works · 3.5% of their workTHEIR WORKPawel F.Przytycki54works
Life Sciences76%Health Sciences7%

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. Biochemistry, Genetics and Molecular Biology4175.9%
  2. Everything else917.1%
    1. Medicine47.0%
  1. 1Molecular Biology57% of their works
  2. 2Genetics8% of their works
  3. 3Biophysics6% of their works
  4. 4Cancer Research4% of their works
  5. 5Oncology4% of their works
  6. 6Cardiology and Cardiovascular Medicine4% of their works

Research topics

Which keywords describe Pawel F. Przytycki's research?

The keywords of their largest research topics: Gene Expression, Single-Cell, Transcriptomics, Machine Learning, Gene Regulatory Networks, Stochastic Gene Expression, Chromatin and Transcription.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Gene Expression252 topics
  2. Single-Cell191 topic
  3. Transcriptomics191 topic
  4. Machine Learning142 topics
  5. Gene Regulatory Networks121 topic
  6. Stochastic Gene Expression121 topic
  7. Chromatin111 topic
  8. Transcription111 topic
  9. Bioimage Analysis81 topic
  10. High-Content Screening81 topic
  11. Gene Set Enrichment Analysis71 topic
  12. Protein-Protein Interaction Networks71 topic
  13. Cancer Genomics61 topic
  14. Data Analysis61 topic
  15. Microarray61 topic
  16. Mutational Signatures61 topic
  17. Copy Number Variation51 topic
  18. Genomic Rearrangements51 topic

Where does Pawel F. Przytycki work?

Pawel F. Przytycki's main affiliation in the publication record is Gladstone Institutes, United States.

How many publications and citations does Pawel F. Przytycki have?

OpenAlex counts 54 works and 1,743 citations for Pawel F. Przytycki, an h-index of 17, ranking #763,792 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

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