Tom Bosschaerts

485 total citations
8 papers, 410 citations indexed

About

Tom Bosschaerts is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Tom Bosschaerts has authored 8 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Immunology. Recurrent topics in Tom Bosschaerts's work include Trypanosoma species research and implications (6 papers), Research on Leishmaniasis Studies (5 papers) and Immune Cell Function and Interaction (4 papers). Tom Bosschaerts is often cited by papers focused on Trypanosoma species research and implications (6 papers), Research on Leishmaniasis Studies (5 papers) and Immune Cell Function and Interaction (4 papers). Tom Bosschaerts collaborates with scholars based in Belgium, Germany and Italy. Tom Bosschaerts's co-authors include Alain Beschin, Patrick De Baetselier, Martin Guilliams, Michel Hérin, Benoı̂t Stijlemans, Yannick Morias, Lea Brys, Daniel R. Engel, Frank Tacke and Geert Raes and has published in prestigious journals such as The Journal of Immunology, The Journal of Infectious Diseases and European Journal of Immunology.

In The Last Decade

Tom Bosschaerts

8 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Bosschaerts Belgium	8	237	176	128	90	41	8	410
Nandy López Chile	10	122 0.5×	184 1.0×	173 1.4×	59 0.7×	18 0.4×	11	364
Ba Tiep Nguyen Germany	10	77 0.3×	92 0.5×	180 1.4×	27 0.3×	12 0.3×	11	365
Frédéric Chano Canada	5	94 0.4×	128 0.7×	129 1.0×	48 0.5×	4 0.1×	5	312
Andrea Pellegrini Argentina	11	129 0.5×	226 1.3×	174 1.4×	64 0.7×	4 0.1×	11	350
Sagie Wagage United States	11	264 1.1×	141 0.8×	23 0.2×	160 1.8×	11 0.3×	13	525
Edgard Augusto Lopes Brazil	11	65 0.3×	249 1.4×	158 1.2×	32 0.4×	17 0.4×	29	576
Vladimir Perović Serbia	10	81 0.3×	160 0.9×	126 1.0×	23 0.3×	7 0.2×	21	348
Caroline M.W. van Stijn Netherlands	9	171 0.7×	119 0.7×	31 0.2×	96 1.1×	10 0.2×	10	417
Rafael Corrêa Brazil	10	73 0.3×	110 0.6×	47 0.4×	33 0.4×	11 0.3×	13	319
Thao‐Thy Pham Belgium	10	131 0.6×	21 0.1×	193 1.5×	29 0.3×	10 0.2×	14	299

Countries citing papers authored by Tom Bosschaerts

Since Specialization

Citations

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

Fields of papers citing papers by Tom Bosschaerts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Bosschaerts

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Bosschaerts. A scholar is included among the top collaborators of Tom Bosschaerts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Bosschaerts. Tom Bosschaerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Schmieder, Astrid, Kai Schledzewski, Julia Michel, et al.. (2012). The CD20 homolog Ms4a8a integrates pro‐ and anti‐inflammatory signals in novel M2‐like macrophages and is expressed in parasite infection. European Journal of Immunology. 42(11). 2971–2982. 12 indexed citations

Bosschaerts, Tom, Yannick Morias, Benoı̂t Stijlemans, et al.. (2011). IL‐10 limits production of pathogenic TNF by M1 myeloid cells through induction of nuclear NF‐κB p50 member in Trypanosoma congolense infection‐resistant C57BL/6 mice. European Journal of Immunology. 41(11). 3270–3280. 21 indexed citations

Stijlemans, Benoı̂t, Guy Caljon, Viki Bockstal, et al.. (2010). The Central Role of Macrophages in Trypanosomiasis-Associated Anemia:Rationale for Therapeutical Approaches. Endocrine Metabolic & Immune Disorders - Drug Targets. 10(1). 71–82. 24 indexed citations

Bosschaerts, Tom, Martin Guilliams, Benoı̂t Stijlemans, et al.. (2010). Tip-DC Development during Parasitic Infection Is Regulated by IL-10 and Requires CCL2/CCR2, IFN-γ and MyD88 Signaling. PLoS Pathogens. 6(8). e1001045–e1001045. 110 indexed citations

Guilliams, Martin, Kiavash Movahedi, Tom Bosschaerts, et al.. (2009). IL-10 Dampens TNF/Inducible Nitric Oxide Synthase-Producing Dendritic Cell-Mediated Pathogenicity during Parasitic Infection. The Journal of Immunology. 182(2). 1107–1118. 101 indexed citations

Bosschaerts, Tom, Martin Guilliams, Benoı̂t Stijlemans, Patrick De Baetselier, & Alain Beschin. (2009). Understanding the role of monocytic cells in liver inflammation using parasite infection as a model. Immunobiology. 214(9-10). 737–747. 22 indexed citations

Bosschaerts, Tom, Martin Guilliams, W. Noël, et al.. (2008). Alternatively Activated Myeloid Cells Limit Pathogenicity Associated with African Trypanosomiasis through the IL-10 Inducible Gene Selenoprotein P. The Journal of Immunology. 180(9). 6168–6175. 80 indexed citations

Guilliams, Martin, Tom Bosschaerts, Michel Hérin, et al.. (2008). Experimental Expansion of the Regulatory T Cell Population Increases Resistance to African Trypanosomiasis. The Journal of Infectious Diseases. 198(5). 781–791. 40 indexed citations

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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