Jan Naessens

3.3k citations
109 papers · 2.7k indexed · h-index 31

Impact in

Papers in

Jan Naessens

109 papers receiving 2.6k citations

Peers

Jan Naessens
Comparison fields: 5 of 87
  • Microbiology 487
  • Parasitology 479
  • Immunology 1.3k
  • Agronomy and Crop Science 311
  • Epidemiology 1.0k
Replace John R. Young with:
John R. Young United Kingdom
W. Ivan Morrison Kenya
J. Μ. Sharma United States
Nat Bumstead United Kingdom
N D MacHugh Kenya
Satoru Konnai Japan
Lonneke Vervelde United Kingdom
Wenbin Tuo United States
W. Elwood Briles United States
Venugopal Nair United Kingdom
Jan Naessens relative to John R. Young United Kingdom John R. Young's profile →
Citations per field
00.5×1.5×2.2×
John R. Young · 1×
Citations per year

Countries citing papers authored by Jan Naessens

Since Specialization
Citations

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

Fields of papers citing papers by Jan Naessens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20205
2
Inoculation of Mycoplasma mycoides Mycoides by endotracheal intubation produces a milder disease than by contact transmission
20171
3 20178
4 201618
5 201417
6 20133
7 201336
8 200939
9 2006122
10 200521
11 200424
12 200255
13 19946
14 19943
15 19937
16
Transferrin binding proteins in Trypanosoma brucei
19921
17 199257
18 199194
19 198829
20 19818

About Jan Naessens

Jan Naessens is a scholar working on Microbiology, Parasitology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microbial infections and disease research (33 papers), Trypanosoma species research and implications (30 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), T-cell and B-cell Immunology (19 papers), Bacteriophages and microbial interactions (15 papers), Vector-Borne Animal Diseases (14 papers), Research on Leishmaniasis Studies (13 papers) and Glycosylation and Glycoproteins Research (11 papers). The work is most often cited by research in Microbiology (487 citations), Parasitology (479 citations), Immunology (1.3k citations), Agronomy and Crop Science (311 citations) and Epidemiology (1.0k citations). Jan Naessens has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Chris Howard, Diana Williams, Janet Newson, A.J. Teale, Maarten Sileghem, W. Ivan Morrison, N D MacHugh, John Hopkins, Fuad A. Iraqi and Bruno Goddeeris. Their work appears in journals such as Veterinary Immunology and Immunopathology, Infection and Immunity, Immunogenetics, Parasite Immunology and PLoS ONE.

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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