Tom Sprong

2.2k citations
47 papers · 1.5k · h-index 23

Impact in

Papers in

    • Immune Response and Inflammation 9
    • Complement system in diseases 7
    • Macrophage Migration Inhibitory Factor 3
    • Vector-borne infectious diseases 16

Tom Sprong

46 papers receiving 1.5k citations

Peers

Tom Sprong
Comparison fields: 5 of 93
  • Parasitology 288
  • Microbiology 206
  • Immunology 615
  • Infectious Diseases 296
  • Applied Microbiology and Biotechnology 31
Replace Fanny N. Lauw with:
Fanny N. Lauw Netherlands
Mihoko Kikuchi Japan
Frances Sanderson United Kingdom
Peter McGuirk Ireland
Marie Studahl Sweden
Christian Gille Germany
Ronald D. Tyler United States
Yosuke Kumamoto United States
Konrad Wicher United States
Tom Sprong relative to Fanny N. Lauw Netherlands Fanny N. Lauw's profile →
Citations per field
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Fanny N. Lauw · 1×
Citations per year

Countries citing papers authored by Tom Sprong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004176
2 2005118
3 200396
4 201681
5 200875
6 200771
7 200166
8 201564
9 201247
10 200746
11 200444
12 201143
13 201740
14 200139
15 201337
16 201335
17 201228
18 201726
19 201126
20 200726

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.

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