Edwin R. Chapman
Impact in
- Cell Biology top 0.01%
- Cellular transport and secretion
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research
- Hereditary Neurological Disorders
Papers in
- Cell Biology 150
- Cellular transport and secretion 145
-
- Neuroscience and Neuropharmacology Research 43
- Co-authors
- Reinhard JahnJihong BaiMeyer B. JacksonWard C. TuckerSung Eun KwonMin DongJuan BlasiEric A. Johnson
- Journals
- Journal of Biological Chemistry (22 papers)Proceedings of the National Academy of Sciences (13 papers)Journal of Neuroscience (12 papers)Nature Communications (11 papers)The Journal of Cell Biology (11 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Edwin R. Chapman
190 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cell Biology 10.1k
- Cellular and Molecular Neuroscience 5.8k
- Physiology 1.4k
- Neurology 2.9k
- Molecular Biology 11.2k
Countries citing papers authored by Edwin R. Chapman
This map shows the geographic impact of Edwin R. Chapman'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 Edwin R. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin R. Chapman more than expected).
Fields of papers citing papers by Edwin R. Chapman
This network shows the impact of papers produced by Edwin R. Chapman. 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 Edwin R. Chapman. The network helps show where Edwin R. Chapman may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin R. Chapman, 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 | 2024 | 3 | |
| 2 | 2024 | 17 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 76 | |
| 12 | 2019 | 47 | |
| 13 | 2013 | 26 | |
| 14 | 2006 | 129 | |
| 15 | SV2 Is the Protein Receptor for Botulinum Neurotoxin A Hit paper breakdown → | 2006 | 584 |
| 16 | 2004 | 256 | |
| 17 | 2004 | 299 | |
| 18 | 2003 | 223 | |
| 19 | 2003 | 65 | |
| 20 | 2001 | 103 |
About Edwin R. Chapman
Edwin R. Chapman is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Neurology, having authored 191 papers that have together received 16.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (145 papers), Lipid Membrane Structure and Behavior (120 papers), Neuroscience and Neuropharmacology Research (43 papers), Botulinum Toxin and Related Neurological Disorders (21 papers), Erythrocyte Function and Pathophysiology (21 papers), Calcium signaling and nucleotide metabolism (16 papers), Neurological disorders and treatments (16 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Cell Biology (10.1k citations), Cellular and Molecular Neuroscience (5.8k citations), Physiology (1.4k citations), Neurology (2.9k citations) and Molecular Biology (11.2k citations). Edwin R. Chapman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Reinhard Jahn, Jihong Bai, Meyer B. Jackson, Ward C. Tucker, Sung Eun Kwon, Min Dong, Juan Blasi, Eric A. Johnson, William H. Tepp and Enfu Hui. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Nature Communications and The Journal of Cell Biology.
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.