Thomas Gsponer

2.0k citations
25 papers · 1.3k · h-index 18

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV/AIDS Research and Interventions 12
    • HIV/AIDS drug development and treatment 7
    • HIV Research and Treatment 10

Thomas Gsponer

25 papers receiving 1.3k citations

Peers

Thomas Gsponer
Comparison fields: 5 of 92
  • Virology 295
  • Infectious Diseases 646
  • Statistics and Probability 214
  • Emergency Medicine 250
  • Hepatology 162
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Citations per field
00.5×2.7×
Holly Gundacker · 1×
Citations per year

Countries citing papers authored by Thomas Gsponer

Since Specialization
Citations

This map shows the geographic impact of Thomas Gsponer'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 Thomas Gsponer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Gsponer more than expected).

Fields of papers citing papers by Thomas Gsponer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Gsponer. 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 Thomas Gsponer. The network helps show where Thomas Gsponer may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Gsponer, 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 Thomas Gsponer Line = papers co-authored together Thomas Gsponer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008260
2 2012206
3 2012176
4 2011119
5 201195
6 201352
7 201050
8 201241
9 201240
10 201136
11 201234
12 201329
13 201226
14 201325
15 201023
16 201321
17 201520
18 201317
19 201412
20 201312

About Thomas Gsponer

Thomas Gsponer is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Management Science and Operations Research and Economics and Econometrics, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), HIV Research and Treatment (10 papers), HIV-related health complications and treatments (8 papers), HIV/AIDS drug development and treatment (7 papers), Statistical Methods in Clinical Trials (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Optimal Experimental Design Methods (3 papers) and Poverty, Education, and Child Welfare (2 papers). The work is most often cited by research in Virology (295 citations), Infectious Diseases (646 citations), Statistics and Probability (214 citations), Emergency Medicine (250 citations) and Hepatology (162 citations). Thomas Gsponer has collaborated with scholars based in Switzerland, South Africa and United States. Frequent co-authors include Beat Neuenschwander, Michael Branson, Matthias Egger, Olivia Keiser, Gilles Wandeler, Janne Estill, Ulrich Güller, Daniel Candinas, Vanessa Banz and Catrina Mugglin. Their work appears in journals such as AIDS, Clinical Infectious Diseases, Journal of Statistical Software, Tropical Medicine & International Health and Statistics in Medicine.

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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