Steven D. Webb
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Hepatology top 5%
- Liver physiology and pathology
Papers in
-
- Mathematical Biology Tumor Growth 7
- Pharmacology 11
- Pharmacogenetics and Drug Metabolism 8
- Co-authors
- Sieteng SohJonathan A. SherrattCraig MurdochHelen ColleyParveen SharmaJ.A. MackenzieRobert H. InsallMatthew P. Neilson
- Journals
- Journal of Theoretical Biology (8 papers)PLoS ONE (6 papers)Scientific Reports (2 papers)Mathematical and Computer Modelling (2 papers)Mathematical Biosciences (2 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Steven D. Webb
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 154
- Modeling and Simulation 145
- Hepatology 134
- Cell Biology 212
- Pharmacology 95
- Biochemistry 65
Countries citing papers authored by Steven D. Webb
This map shows the geographic impact of Steven D. Webb'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 Steven D. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven D. Webb more than expected).
Fields of papers citing papers by Steven D. Webb
This network shows the impact of papers produced by Steven D. Webb. 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 Steven D. Webb. The network helps show where Steven D. Webb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven D. Webb, 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 | 1 | |
| 2 | 2021 | 4 | |
| 3 | 2019 | 6 | |
| 4 | 2019 | 84 | |
| 5 | 2019 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 10 | |
| 8 | 2015 | 25 | |
| 9 | 2013 | 13 | |
| 10 | 2013 | 8 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 19 | |
| 13 | 2011 | 125 | |
| 14 | 2011 | 3 | |
| 15 | 2010 | 10 | |
| 16 | Adaptive Client to Mirrored-Server Assignment for Massively Multiplayer Online Games 1 | 2008 | 6 |
| 17 | A survey on network game cheats and P2P solutions | 2008 | 12 |
| 18 | 2006 | 12 | |
| 19 | 2004 | 40 | |
| 20 | 2003 | 2 |
About Steven D. Webb
Steven D. Webb is a scholar working on Modeling and Simulation, Pharmacology, Hepatology, Biophysics and Cancer Research, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (11 papers), Peer-to-Peer Network Technologies (10 papers), Liver physiology and pathology (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Computational Drug Discovery Methods (8 papers), Cellular Mechanics and Interactions (7 papers), Mathematical Biology Tumor Growth (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Modeling and Simulation (145 citations), Hepatology (134 citations), Cell Biology (212 citations), Pharmacology (95 citations) and Biochemistry (65 citations). Steven D. Webb has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Sieteng Soh, Jonathan A. Sherratt, Craig Murdoch, Helen Colley, Parveen Sharma, J.A. Mackenzie, Robert H. Insall, Matthew P. Neilson, Joseph Leedale and Markus R. Owen. Their work appears in journals such as Journal of Theoretical Biology, PLoS ONE, Scientific Reports, Mathematical and Computer Modelling and Mathematical Biosciences.
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.