Chad G. Pearson

4.3k citations
71 papers · 3.2k · h-index 29

Impact in

  • Cell Biology top 0.2%
    • Microtubule and mitosis dynamics
    • Protist diversity and phylogeny
    • Genomics and Chromatin Dynamics
    • Photosynthetic Processes and Mechanisms
    • Ubiquitin and proteasome pathways
    • Fungal and yeast genetics research

Papers in

    • Protist diversity and phylogeny 29
    • Photosynthetic Processes and Mechanisms 10
    • Fungal and yeast genetics research 9
    • Microtubule and mitosis dynamics 46

Chad G. Pearson

68 papers receiving 3.1k citations

Peers

Chad G. Pearson
Comparison fields: 5 of 98
  • Cell Biology 2.1k
  • Molecular Biology 2.6k
  • Genetics 762
  • Aging 34
  • Structural Biology 25
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Citations per field
00.5×1.5×
Dorota Włoga · 1×
Citations per year

Countries citing papers authored by Chad G. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Chad G. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005336
2 2001286
3 2007227
4 2001174
5 2007149
6 2004132
7 2001125
8 2004116
9 2009108
10 2005103
11 201694
12 200586
13 200382
14 200366
15 201263
16 200256
17 200949
18 201342
19 201641
20 201440

About Chad G. Pearson

Chad G. Pearson is a scholar working on Molecular Biology, Cell Biology, Genetics, Ecology and Plant Science, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (46 papers), Protist diversity and phylogeny (29 papers), Genetic and Kidney Cyst Diseases (27 papers), Photosynthetic Processes and Mechanisms (10 papers), Fungal and yeast genetics research (9 papers), Microbial Community Ecology and Physiology (8 papers), Micro and Nano Robotics (5 papers) and Methane Hydrates and Related Phenomena (5 papers). The work is most often cited by research in Cell Biology (2.1k citations), Molecular Biology (2.6k citations), Genetics (762 citations), Aging (34 citations) and Structural Biology (25 citations). Chad G. Pearson has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Kerry Bloom, Edward D. Salmon, Mark Winey, Thomas H. Giddings, Paul S. Maddox, David J. Odde, Bonnie J. Howell, Tim J. Yen, David B. Hoffman and Melissa K. Gardner. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Current Biology, Journal of Cell Science and Developmental Cell.

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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