Tom Sprong
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
- Immunology 19
- Immune Response and Inflammation 9
- Complement system in diseases 7
- Macrophage Migration Inhibitory Factor 3
- Parasitology 16
- Vector-borne infectious diseases 16
- Co-authors
- Marcel van Deuren (26 shared papers)J.W.M. van der Meer (20 shared papers)Mihai G. Netea (16 shared papers)Bart Jan Kullberg (7 shared papers)Leo A. B. Joosten (12 shared papers)Chantal P. Bleeker‐Rovers (10 shared papers)Peter Pickkers (4 shared papers)Dirk J. de Jong (1 shared paper)
- Journals
- Shock (4 papers)PLoS ONE (4 papers)European Journal of Immunology (4 papers)BMC Infectious Diseases (4 papers)Journal of Infection (3 papers)
- Partner nations
- NetherlandsNorwayUnited Kingdom
In The Last Decade
Tom Sprong
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Parasitology 288
- Microbiology 206
- Immunology 615
- Infectious Diseases 296
- Applied Microbiology and Biotechnology 31
Countries citing papers authored by Tom Sprong
This map shows the geographic impact of Tom Sprong'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 Tom Sprong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Sprong more than expected).
Fields of papers citing papers by Tom Sprong
This network shows the impact of papers produced by Tom Sprong. 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 Tom Sprong. The network helps show where Tom Sprong may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Sprong, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 176 | |
| 2 | 2005 | 118 | |
| 3 | 2003 | 96 | |
| 4 | 2016 | 81 | |
| 5 | 2008 | 75 | |
| 6 | 2007 | 71 | |
| 7 | 2001 | 66 | |
| 8 | 2015 | 64 | |
| 9 | 2012 | 47 | |
| 10 | 2007 | 46 | |
| 11 | 2004 | 44 | |
| 12 | 2011 | 43 | |
| 13 | 2017 | 40 | |
| 14 | 2001 | 39 | |
| 15 | 2013 | 37 | |
| 16 | 2013 | 35 | |
| 17 | 2012 | 28 | |
| 18 | 2017 | 26 | |
| 19 | 2011 | 26 | |
| 20 | 2007 | 26 |
About Tom Sprong
Tom Sprong is a scholar working on Immunology, Parasitology, Infectious Diseases, Microbiology and Epidemiology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (16 papers), Bacterial Infections and Vaccines (10 papers), Immune Response and Inflammation (9 papers), Viral Infections and Vectors (8 papers), Complement system in diseases (7 papers), Pneumonia and Respiratory Infections (5 papers), Mosquito-borne diseases and control (4 papers) and Macrophage Migration Inhibitory Factor (3 papers). The work is most often cited by research in Parasitology (288 citations), Microbiology (206 citations), Immunology (615 citations), Infectious Diseases (296 citations) and Applied Microbiology and Biotechnology (31 citations). Tom Sprong has collaborated with scholars based in Netherlands, Norway and United Kingdom. Frequent co-authors include Marcel van Deuren, J.W.M. van der Meer, Mihai G. Netea, Bart Jan Kullberg, Leo A. B. Joosten, Chantal P. Bleeker‐Rovers, Peter Pickkers, Dirk J. de Jong, Joost P.H. Drenth and Barbara Franke. Their work appears in journals such as Shock, PLoS ONE, European Journal of Immunology, BMC Infectious Diseases and Journal of Infection.
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.