Steven D. Webb
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Hepatology top 5%
- Liver physiology and pathology
Papers in
-
- 3D Printing in Biomedical Research 11
- Co-authors
- Sieteng Soh (10 shared papers)Jonathan A. Sherratt (6 shared papers)Craig Murdoch (13 shared papers)Parveen Sharma (10 shared papers)Helen Colley (12 shared papers)J.A. Mackenzie (3 shared papers)Robert H. Insall (3 shared papers)Matthew P. Neilson (3 shared papers)
- Journals
- Journal of Theoretical Biology (8 papers)PLoS ONE (6 papers)Mathematical Biosciences (2 papers)Clinical & Experimental Metastasis (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Steven D. Webb
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 152
- Modeling and Simulation 147
- Hepatology 130
- Cell Biology 213
- Pharmacology 91
- Biochemistry 63
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-authors
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
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 127 | |
| 2 | 2013 | 107 | |
| 3 | 2016 | 101 | |
| 4 | 2019 | 84 | |
| 5 | 1999 | 65 | |
| 6 | 2011 | 53 | |
| 7 | 2018 | 50 | |
| 8 | 1999 | 42 | |
| 9 | 2007 | 41 | |
| 10 | 2019 | 41 | |
| 11 | 2004 | 40 | |
| 12 | 2007 | 40 | |
| 13 | 2007 | 37 | |
| 14 | 2020 | 32 | |
| 15 | 2018 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2007 | 28 | |
| 18 | 2015 | 26 | |
| 19 | 2002 | 26 | |
| 20 | 2021 | 25 |
About Steven D. Webb
Steven D. Webb is a scholar working on Molecular Biology, Biomedical Engineering, Computer Networks and Communications, Oncology and Pharmacology, having authored 76 papers that have together received 1.5k 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), Mathematical Biology Tumor Growth (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers) and Cellular Mechanics and Interactions (7 papers). The work is most often cited by research in Modeling and Simulation (147 citations), Hepatology (130 citations), Cell Biology (213 citations), Pharmacology (91 citations) and Biochemistry (63 citations). Steven D. Webb has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sieteng Soh, Jonathan A. Sherratt, Craig Murdoch, Parveen Sharma, Helen Colley, 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, Mathematical Biosciences, Clinical & Experimental Metastasis and Journal of Visualized Experiments.
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.