David Pearson

2.8k citations
47 papers · 2.3k · h-index 23

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • Signaling Pathways in Disease 5
    • RNA Research and Splicing 5
    • Glycosylation and Glycoproteins Research 5
    • RNA modifications and cancer 4
    • Cardiovascular, Neuropeptides, and Oxidative Stress Research 4

David Pearson

46 papers receiving 2.3k citations

Peers

David Pearson
Comparison fields: 5 of 125
  • Immunology and Allergy 459
  • Pharmacology 429
  • Cancer Research 297
  • Cell Biology 307
  • Hematology 185
Replace Pellegrino Rossi with:
Pellegrino Rossi Italy
Daniel H. Cohn United States
Charlene J. Williams United States
Honor B. Fell United Kingdom
Walter E. Horton United States
Dale R. Abrahamson United States
Carol V. Gay United States
Andreas Winterpacht Germany
Xiang‐Fu Wu China
Ted S. Acott United States
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Citations per field
00.5×3.4×
Pellegrino Rossi · 1×
Citations per year

Countries citing papers authored by David Pearson

Since Specialization
Citations

This map shows the geographic impact of David Pearson'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 David Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pearson more than expected).

Fields of papers citing papers by David Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Pearson. 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 David Pearson. The network helps show where David Pearson may publish in the future.

Co-authors

The 25 scholars most cited alongside David Pearson, 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 David Pearson Line = papers co-authored together David Pearson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988403
2 1980322
3 1985184
4 1988129
5 2000122
6 1984101
7 200498
8 200494
9 199969
10 198265
11 198462
12 198759
13 198556
14 199151
15 198845
16 201135
17 199435
18 199034
19 199231
20 201929

About David Pearson

David Pearson is a scholar working on Molecular Biology, Surgery, Cancer Research, Cell Biology and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), RNA and protein synthesis mechanisms (6 papers), Signaling Pathways in Disease (5 papers), RNA Research and Splicing (5 papers), Glycosylation and Glycoproteins Research (5 papers), Cell Adhesion Molecules Research (4 papers), RNA modifications and cancer (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). The work is most often cited by research in Immunology and Allergy (459 citations), Pharmacology (429 citations), Cancer Research (297 citations), Cell Biology (307 citations) and Hematology (185 citations). David Pearson has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Howard A. Bern, Shigeki Shibahara, Yoshikuni Nagamine, Ruth Chiquet‐Ehrismann, Jan Hofsteenge, Scott I. Simon, Michael S. Altus, Brian R. Clark, Marylynn Barkley and John E. Shively. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, The EMBO Journal, Molecular and Cellular Biology and Molecular Imaging.

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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