Chad G. Pearson
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Molecular Biology top 2%
- Protist diversity and phylogeny
- Genomics and Chromatin Dynamics
- Photosynthetic Processes and Mechanisms
- Ubiquitin and proteasome pathways
- Fungal and yeast genetics research
Papers in
- Cell Biology 45
- Microtubule and mitosis dynamics 45
- Genetics 28
- Genetic and Kidney Cyst Diseases 27
- Co-authors
- Kerry BloomEdward D. SalmonMark WineyThomas H. GiddingsPaul S. MaddoxDavid J. OddeDavid B. HoffmanBonnie J. Howell
- Journals
- Molecular Biology of the Cell (18 papers)The Journal of Cell Biology (12 papers)Journal of Cell Science (4 papers)Current Biology (4 papers)Developmental Cell (3 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Chad G. Pearson
67 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 98
- Cell Biology 2.1k
- Molecular Biology 2.7k
- Genetics 765
- Aging 35
- Plant Science 557
Countries citing papers authored by Chad G. Pearson
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 19 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 37 | |
| 12 | 2015 | 35 | |
| 13 | 2014 | 20 | |
| 14 | 2012 | 60 | |
| 15 | 2007 | 19 | |
| 16 | 2007 | 227 | |
| 17 | 2005 | 103 | |
| 18 | 2004 | 131 | |
| 19 | 2003 | 66 | |
| 20 | 2003 | 82 |
About Chad G. Pearson
Chad G. Pearson is a scholar working on Cell Biology, Genetics, Molecular Biology, Structural Biology and Biophysics, having authored 69 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (45 papers), Protist diversity and phylogeny (28 papers), Genetic and Kidney Cyst Diseases (27 papers), Photosynthetic Processes and Mechanisms (9 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 (2.7k citations), Genetics (765 citations), Aging (35 citations) and Plant Science (557 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, David B. Hoffman, Bonnie J. Howell, Tim J. Yen and Melissa K. Gardner. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Journal of Cell Science, Current Biology 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.