Chad D. Williamson
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Mitochondrial Function and Pathology 6
- Lipid Membrane Structure and Behavior 5
- Cell Biology 14
- Cellular transport and secretion 13
- Co-authors
- Anamaris M. Colberg‐Poley (11 shared papers)Julie G. Donaldson (4 shared papers)Petros Bozidis (4 shared papers)Dipannita Dutta (1 shared paper)Nelson B. Cole (1 shared paper)Juan S. Bonifacino (10 shared papers)Daniel S. Wong (3 shared papers)Yan Li (3 shared papers)
- Journals
- Journal of Virology (5 papers)Nature Communications (3 papers)Molecular Biology of the Cell (3 papers)Current Protocols in Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Chad D. Williamson
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Cell Biology 526
- Physiology 109
- Epidemiology 420
- Molecular Biology 720
- Neurology 125
Countries citing papers authored by Chad D. Williamson
This map shows the geographic impact of Chad D. Williamson'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 D. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad D. Williamson more than expected).
Fields of papers citing papers by Chad D. Williamson
This network shows the impact of papers produced by Chad D. Williamson. 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 D. Williamson. The network helps show where Chad D. Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad D. Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 185 | |
| 2 | 2020 | 165 | |
| 3 | 2011 | 100 | |
| 4 | 2000 | 92 | |
| 5 | 2021 | 90 | |
| 6 | 2013 | 81 | |
| 7 | 2007 | 79 | |
| 8 | 2015 | 67 | |
| 9 | 2009 | 51 | |
| 10 | 2022 | 44 | |
| 11 | 2021 | 41 | |
| 12 | 2010 | 37 | |
| 13 | 2012 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2010 | 34 | |
| 16 | 2008 | 34 | |
| 17 | 2017 | 33 | |
| 18 | 2023 | 32 | |
| 19 | 2022 | 31 | |
| 20 | 2006 | 30 |
About Chad D. Williamson
Chad D. Williamson is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Physiology and Physiology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (13 papers), Cytomegalovirus and herpesvirus research (7 papers), Mitochondrial Function and Pathology (6 papers), Lipid Membrane Structure and Behavior (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Metabolism and Genetic Disorders (3 papers), Influenza Virus Research Studies (3 papers) and Legionella and Acanthamoeba research (3 papers). The work is most often cited by research in Cell Biology (526 citations), Physiology (109 citations), Epidemiology (420 citations), Molecular Biology (720 citations) and Neurology (125 citations). Chad D. Williamson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anamaris M. Colberg‐Poley, Julie G. Donaldson, Petros Bozidis, Dipannita Dutta, Nelson B. Cole, Juan S. Bonifacino, Daniel S. Wong, Yan Li, Lymarie Maldonado‐Báez and Aiping Zhang. Their work appears in journals such as Journal of Virology, Nature Communications, Molecular Biology of the Cell, Current Protocols in Cell Biology and Proceedings of the National Academy of Sciences.
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.