Eric W. Hewitt
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Physiology 22
- Alzheimer's disease research and treatments 20
- Co-authors
- Sheena E. RadfordMatthew P. JacksonNeil A. RansonM.G. IadanzaAndrew L. HellewellColin WattsWei‐Feng XueWalraj S. Gosal
- Journals
- Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (3 papers)Immunology (2 papers)Nature (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Eric W. Hewitt
56 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Physiology 1.7k
- Immunology 1.1k
- Molecular Biology 2.9k
- Transplantation 105
- Cell Biology 563
Countries citing papers authored by Eric W. Hewitt
This map shows the geographic impact of Eric W. Hewitt'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 Eric W. Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric W. Hewitt more than expected).
Fields of papers citing papers by Eric W. Hewitt
This network shows the impact of papers produced by Eric W. Hewitt. 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 Eric W. Hewitt. The network helps show where Eric W. Hewitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric W. Hewitt, 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 | 1 | |
| 2 | 2023 | 15 | |
| 3 | 2022 | 39 | |
| 4 | 2020 | 48 | |
| 5 | 2019 | 44 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 32 | |
| 8 | 2014 | 33 | |
| 9 | 2011 | 89 | |
| 10 | 2011 | 22 | |
| 11 | 2009 | 2 | |
| 12 | 2007 | 71 | |
| 13 | 2003 | 17 | |
| 14 | 2002 | 1 | |
| 15 | 2001 | 148 | |
| 16 | 2000 | 112 | |
| 17 | 1999 | 58 | |
| 18 | 1998 | 22 | |
| 19 | 1998 | 6 | |
| 20 | 1997 | 310 |
About Eric W. Hewitt
Eric W. Hewitt is a scholar working on Physiology, Transplantation, Parasitology, Immunology and Cell Biology, having authored 56 papers that have together received 5.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Cytomegalovirus and herpesvirus research (8 papers), Prion Diseases and Protein Misfolding (7 papers), Cellular transport and secretion (7 papers), Immune Cell Function and Interaction (7 papers), Protein Structure and Dynamics (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Nanopore and Nanochannel Transport Studies (5 papers). The work is most often cited by research in Physiology (1.7k citations), Immunology (1.1k citations), Molecular Biology (2.9k citations), Transplantation (105 citations) and Cell Biology (563 citations). Eric W. Hewitt has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Sheena E. Radford, Matthew P. Jackson, Neil A. Ranson, M.G. Iadanza, Andrew L. Hellewell, Colin Watts, Wei‐Feng Xue, Walraj S. Gosal, A. John Barrett and Pam M. Dando. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, PLoS ONE, Immunology and Nature.
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.