Jerry Davison

2.0k citations
19 papers · 1.4k · h-index 14

Impact in

  • Aging top 10%
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • Muscle Physiology and Disorders
    • RNA modifications and cancer
    • Cancer-related gene regulation

Papers in

    • Epigenetics and DNA Methylation 5
    • Cancer-related gene regulation 4
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 2
    • Acute Myeloid Leukemia Research 2

Jerry Davison

18 papers receiving 1.3k citations

Peers

Jerry Davison
Comparison fields: 5 of 86
  • Aging 31
  • Molecular Biology 1.0k
  • Plant Science 404
  • Cancer Research 124
  • Genetics 189
Replace D. Depétris with:
D. Depétris France
Ofir Hakim United States
Sonia Albini Italy
Aydan Bulut-Karslıoğlu Germany
Yao-Fu Chang United States
Mayra Furlan-Magaril Mexico
René Rezsöhazy Belgium
Monica Di Giacomo Italy
Jennifer N. Cech United States
Eva Mejía-Ramírez Spain
Jerry Davison relative to D. Depétris France D. Depétris's profile →
Citations per field
00.5×1.5×2.3×
D. Depétris · 1×
Citations per year

Countries citing papers authored by Jerry Davison

Since Specialization
Citations

This map shows the geographic impact of Jerry Davison's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jerry Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Davison more than expected).

Fields of papers citing papers by Jerry Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerry Davison. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jerry Davison. The network helps show where Jerry Davison may publish in the future.

Co-authors

The 25 scholars most cited alongside Jerry Davison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jerry Davison Line = papers co-authored together Jerry Davison links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010385
2 2002310
3 2010108
4 2012107
5 201388
6 201359
7 201353
8 201243
9 200643
10 201636
11 200733
12 201026
13 201520
14 201620
15 201711
16 19739
17 20133
18 20121
19 20160

About Jerry Davison

Jerry Davison is a scholar working on Molecular Biology, Hematology, Plant Science, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (4 papers), Chromosomal and Genetic Variations (3 papers), Genetic factors in colorectal cancer (2 papers), Acute Myeloid Leukemia Research (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Aging (31 citations), Molecular Biology (1.0k citations), Plant Science (404 citations), Cancer Research (124 citations) and Genetics (189 citations). Jerry Davison has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Luca Comai, Ricardo W. Masuelli, Andreas Madlung, Steve Reynolds, Brian Watson, Martin Morgan, Zizhen Yao, Yi Cao, Stephen J. Tapscott and Robert Gentleman. Their work appears in journals such as Cancer, Genes & Development, Epigenetics, Cancer Research and Molecular Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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