Tom Sprong

2.1k citations
47 papers · 1.5k indexed · h-index 23

Impact in

Papers in

    • Immune Response and Inflammation 10
    • Complement system in diseases 7
    • Vector-borne infectious diseases 15
    • Bartonella species infections research 3

Tom Sprong

46 papers receiving 1.5k citations

Peers

Tom Sprong
Comparison fields: 5 of 101
  • Parasitology 292
  • Microbiology 222
  • Immunology 688
  • Applied Microbiology and Biotechnology 39
  • Infectious Diseases 336
Replace Fanny N. Lauw with:
Fanny N. Lauw Netherlands
Marion L. Woods Australia
Marie Studahl Sweden
Mihoko Kikuchi Japan
Christian Gille Germany
Constance D. Rothermel United States
Markus Hufnagel Germany
Christoph Steininger Austria
Gil Benard Brazil
Miles Beaman Australia
Tom Sprong relative to Fanny N. Lauw Netherlands Fanny N. Lauw's profile →
Citations per field
00.5×1.5×2.4×
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 2004177
2 2005118
3 200395
4 201680
5 200873
6 200771
7 200166
8 201560
9 201247
10 200746
11 200444
12 201143
13 201740
14 200139
15 201337
16 201335
17 201228
18 200726
19 201325
20 201125

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 (15 papers), Bacterial Infections and Vaccines (13 papers), Immune Response and Inflammation (10 papers), Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (8 papers), Complement system in diseases (7 papers), Pneumonia and Respiratory Infections (6 papers) and Bartonella species infections research (3 papers). The work is most often cited by research in Parasitology (292 citations), Microbiology (222 citations), Immunology (688 citations), Applied Microbiology and Biotechnology (39 citations) and Infectious Diseases (336 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, Paul Smits and Jos W.M. van der Meer. Their work appears in journals such as Shock, BMC Infectious Diseases, PLoS ONE, European Journal of Immunology and Clinical 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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