Tim Spelman
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- Antifungal resistance and susceptibility
Papers in
- Epidemiology 65
- HIV, Drug Use, Sexual Risk 16
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- HIV/AIDS Research and Interventions 23
- Co-authors
- Peter Choong (33 shared papers)Margaret Hellard (31 shared papers)Michelle M. Dowsey (25 shared papers)Sharon R. Lewin (19 shared papers)Jan Hillert (12 shared papers)Leon J. Worth (12 shared papers)Lloyd Einsiedel (10 shared papers)Helmut Butzkueven (25 shared papers)
- Journals
- PLoS ONE (15 papers)Multiple Sclerosis Journal (9 papers)BMJ Open (9 papers)ANZ Journal of Surgery (9 papers)The Journal of Infectious Diseases (5 papers)
- Partner nations
- AustraliaSwedenUnited States
In The Last Decade
Tim Spelman
213 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 170
- Virology 459
- Infectious Diseases 1.3k
- Hepatology 352
- Applied Microbiology and Biotechnology 87
- Epidemiology 1.4k
Countries citing papers authored by Tim Spelman
This map shows the geographic impact of Tim Spelman'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 Spelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Spelman more than expected).
Fields of papers citing papers by Tim Spelman
This network shows the impact of papers produced by Tim Spelman. 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 Spelman. The network helps show where Tim Spelman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Spelman, 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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 136 | |
| 2 | 2021 | 127 | |
| 3 | 2017 | 113 | |
| 4 | 2013 | 112 | |
| 5 | 2010 | 109 | |
| 6 | 2013 | 105 | |
| 7 | 2020 | 99 | |
| 8 | 2010 | 99 | |
| 9 | 2013 | 88 | |
| 10 | 2014 | 84 | |
| 11 | 2015 | 84 | |
| 12 | 2010 | 74 | |
| 13 | 2011 | 74 | |
| 14 | 2014 | 74 | |
| 15 | 2016 | 73 | |
| 16 | 2011 | 70 | |
| 17 | 2013 | 67 | |
| 18 | 2016 | 64 | |
| 19 | 2016 | 62 | |
| 20 | 2010 | 61 |
About Tim Spelman
Tim Spelman is a scholar working on Epidemiology, Infectious Diseases, Surgery, Pathology and Forensic Medicine and Oncology, having authored 222 papers that have together received 4.7k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (29 papers), HIV/AIDS Research and Interventions (23 papers), Total Knee Arthroplasty Outcomes (22 papers), HIV Research and Treatment (20 papers), Orthopaedic implants and arthroplasty (18 papers), Hepatitis C virus research (17 papers), HIV, Drug Use, Sexual Risk (16 papers) and Orthopedic Infections and Treatments (13 papers). The work is most often cited by research in Virology (459 citations), Infectious Diseases (1.3k citations), Hepatology (352 citations), Applied Microbiology and Biotechnology (87 citations) and Epidemiology (1.4k citations). Tim Spelman has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Peter Choong, Margaret Hellard, Michelle M. Dowsey, Sharon R. Lewin, Jan Hillert, Leon J. Worth, Lloyd Einsiedel, Helmut Butzkueven, Monica A. Slavin and María Trojano. Their work appears in journals such as PLoS ONE, Multiple Sclerosis Journal, BMJ Open, ANZ Journal of Surgery and The Journal of Infectious Diseases.
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.