Tim Spelman

11.7k citations
235 papers · 5.0k · h-index 40

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • Antifungal resistance and susceptibility

Papers in

    • Total Knee Arthroplasty Outcomes 18
    • HIV/AIDS Research and Interventions 13
    • Antimicrobial Resistance in Staphylococcus 7

Tim Spelman

219 papers receiving 4.9k citations

Peers

Tim Spelman
Comparison fields: 5 of 164
  • Virology 297
  • Infectious Diseases 987
  • Pathology and Forensic Medicine 689
  • Hepatology 276
  • Epidemiology 1000
Replace Giuseppe Nunnari with:
Giuseppe Nunnari Italy
Elizabeth Molyneux Malawi
Bruno Cacopardo Italy
Yu‐Hsiang Hsieh United States
Bernd Salzberger Germany
Elena Chiappini Italy
M. Ho Hong Kong
Christian Wejse Denmark
Jan Fehr Switzerland
N. Dupin France
Tim Spelman relative to Giuseppe Nunnari Italy Giuseppe Nunnari's profile →
Citations per field
00.5×1.5×2.4×
Giuseppe Nunnari · 1×
Citations per year

Countries citing papers authored by Tim Spelman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tim Spelman Line = papers co-authored together Tim Spelman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011158
2 2021138
3 2017118
4 2013117
5 2010111
6 2013109
7 2020105
8 201099
9 201391
10 201589
11 201486
12 201680
13 201178
14 201476
15 201075
16 201170
17 201669
18 201367
19 201663
20 201063

About Tim Spelman

Tim Spelman is a scholar working on Surgery, Infectious Diseases, Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 235 papers that have together received 5.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (29 papers), Total Knee Arthroplasty Outcomes (18 papers), Hepatitis C virus research (14 papers), HIV/AIDS Research and Interventions (13 papers), HIV Research and Treatment (9 papers), T-cell and Retrovirus Studies (8 papers), Acute Lymphoblastic Leukemia research (7 papers) and Antimicrobial Resistance in Staphylococcus (7 papers). The work is most often cited by research in Virology (297 citations), Infectious Diseases (987 citations), Pathology and Forensic Medicine (689 citations), Hepatology (276 citations) and Epidemiology (1000 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 Trisha Peel. Their work appears in journals such as PLoS ONE, Multiple Sclerosis Journal, ANZ Journal of Surgery, BMJ Open 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.

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