Tim Smith
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
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- Immune cells in cancer
- Phagocytosis and Immune Regulation
Papers in
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- 3D Printing in Biomedical Research 3
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- Cellular Mechanics and Interactions 3
- Co-authors
- Wendy F. Liu (8 shared papers)Elliot L. Botvinick (2 shared papers)Jessica Hsieh (2 shared papers)Vijaykumar S. Meli (2 shared papers)Elizabeth L. Read (1 shared paper)Esther Y. Chen (1 shared paper)Raji R. Nagalla (1 shared paper)Mark T. Keating (1 shared paper)
- Journals
- Integrative Biology (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Biotechnology and Bioengineering (1 paper)Journal of Colloid and Interface Science (1 paper)Organic Letters (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Tim Smith
19 papers receiving 781 citations
Peers
Comparison fields: 5 of 126
- Rehabilitation 66
- Immunology 189
- Biophysics 44
- Biomaterials 77
- Urology 28
Countries citing papers authored by Tim Smith
This map shows the geographic impact of Tim Smith'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 Tim Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Smith more than expected).
Fields of papers citing papers by Tim Smith
This network shows the impact of papers produced by Tim Smith. 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 Tim Smith. The network helps show where Tim Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Smith, 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 | 2016 | 172 | |
| 2 | 2016 | 128 | |
| 3 | 2017 | 114 | |
| 4 | 2019 | 69 | |
| 5 | 2016 | 51 | |
| 6 | 2003 | 34 | |
| 7 | 1959 | 31 | |
| 8 | 2010 | 29 | |
| 9 | 2011 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2002 | 21 | |
| 12 | 2001 | 21 | |
| 13 | 2012 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2007 | 15 | |
| 16 | 1960 | 12 | |
| 17 | 2015 | 9 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 1 |
About Tim Smith
Tim Smith is a scholar working on Biomedical Engineering, Cell Biology, Immunology, Pulmonary and Respiratory Medicine and Biophysics, having authored 19 papers that have together received 793 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (3 papers), Cellular Mechanics and Interactions (3 papers), Immune cells in cancer (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Wound Healing and Treatments (2 papers), thermodynamics and calorimetric analyses (2 papers), Organophosphorus compounds synthesis (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Rehabilitation (66 citations), Immunology (189 citations), Biophysics (44 citations), Biomaterials (77 citations) and Urology (28 citations). Tim Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Wendy F. Liu, Elliot L. Botvinick, Jessica Hsieh, Vijaykumar S. Meli, Elizabeth L. Read, Esther Y. Chen, Raji R. Nagalla, Mark T. Keating, Thuy U. Luu and Stewart F. Parker. Their work appears in journals such as Integrative Biology, Analytical and Bioanalytical Chemistry, Biotechnology and Bioengineering, Journal of Colloid and Interface Science and Organic Letters.
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.