Stephen A. Renshaw
- Immunology top 0.5%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Co-authors
- Moira K. B. WhyteCatherine A. LoynesPhilip W. InghamSimon J. FosterStone ElworthyNikolaus S. TredePhilip M. ElksConstantino Carlos Reyes‐Aldasoro
- Topics
- Immune Response and Inflammation (50 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (38 papers)Zebrafish Biomedical Research Applications (34 papers)
- Cited by
- ImmunologyCell BiologyNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Stephen A. Renshaw
122 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Immunology 3.4k
- Molecular Biology 2.1k
- Cell Biology 1.8k
- Infectious Diseases 637
- Epidemiology 603
Countries citing papers authored by Stephen A. Renshaw
This map shows the geographic impact of Stephen A. Renshaw'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 Stephen A. Renshaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen A. Renshaw more than expected).
Fields of papers citing papers by Stephen A. Renshaw
This network shows the impact of papers produced by Stephen A. Renshaw. 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 Stephen A. Renshaw. The network helps show where Stephen A. Renshaw may publish in the future.
Co-authorship network of co-authors of Stephen A. Renshaw
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Renshaw. A scholar is included among the top collaborators of Stephen A. Renshaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen A. Renshaw. Stephen A. Renshaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 42 | |
| 11 | 57 | |
| 12 | 15 | |
| 13 | 26 | |
| 14 | 17 | |
| 15 | 166 | |
| 16 | 44 | |
| 17 | 115 | |
| 18 | 62 | |
| 19 | 80 | |
| 20 | A transgenic zebrafish model of neutrophilic inflammation. Commentary | 1 |
About Stephen A. Renshaw
Stephen A. Renshaw is a scholar working on Immunology, Cell Biology and Architecture, having authored 128 papers that have together received 6.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (50 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (38 papers) and Zebrafish Biomedical Research Applications (34 papers). The work is most often cited by research in Immunology (3.4k citations), Cell Biology (1.8k citations) and Neurology (442 citations). Stephen A. Renshaw has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Moira K. B. Whyte, Catherine A. Loynes, Philip W. Ingham, Simon J. Foster, Stone Elworthy, Nikolaus S. Trede, Philip M. Elks, Constantino Carlos Reyes‐Aldasoro, Tomasz K. Prajsnar and Víctoriano Mulero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.