Jan A. M. Langermans

6.5k citations
116 papers · 3.9k indexed · 1 hit paper · h-index 33

Jan A. M. Langermans

111 papers receiving 3.8k citations

Hit Papers

Genetic influence on cytokine production and fatal mening...6501997202620062016200400600

Peers

Jan A. M. Langermans
Comparison fields: 5 of 150
  • Parasitology 559
  • Immunology 1.3k
  • Infectious Diseases 814
  • Microbiology 220
  • Developmental Biology 65
Replace Gene B. Hubbard with:
Gene B. Hubbard United States
Donna M. Bouley United States
Yasuhiro Yoshikawa Japan
Nicholas W. Lerche United States
Brian D. Robertson United Kingdom
Keith G. Mansfield United States
Andrew G. Hendrickx United States
Vinod Kumar Netherlands
Helene F. Rosenberg United States
H. Lutz Switzerland
Jan A. M. Langermans relative to Gene B. Hubbard United States Gene B. Hubbard's profile →
Citations per field
00.5×
Gene B. Hubbard · 1×
Citations per year

Countries citing papers authored by Jan A. M. Langermans

Since Specialization
Citations

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

Fields of papers citing papers by Jan A. M. Langermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20233
4 202320
5 20228
6 202031
7 201955
8 201916
9 20182
10 20043
11 200141
12 20004
13 2000138
14 1997194
15 19978
16 199610
17 199611
18 199550
19 199547
20 19927

About Jan A. M. Langermans

Jan A. M. Langermans is a scholar working on Developmental Biology, Parasitology, Small Animals, Virology and Critical Care and Intensive Care Medicine, having authored 116 papers that have together received 3.9k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (22 papers), Immune Response and Inflammation (16 papers), Malaria Research and Control (9 papers), Animal Behavior and Reproduction (8 papers), Mosquito-borne diseases and control (7 papers), Animal Behavior and Welfare Studies (7 papers), Gut microbiota and health (7 papers) and Parasites and Host Interactions (6 papers). The work is most often cited by research in Parasitology (559 citations), Immunology (1.3k citations), Infectious Diseases (814 citations), Microbiology (220 citations) and Developmental Biology (65 citations). Jan A. M. Langermans has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include R. van Furth, Cornelis L. Verweij, T. Huizinga, Alan W. Thomas, Rudi GJ Westendorp, Dorret I. Boomsma, Peter H. Nibbering, Richard A. W. Vervenne, R. van Furth and A. Marceline van Furth. Their work appears in journals such as Infection and Immunity, Animals, The Journal of Infectious Diseases, Journal of Medical Primatology and Scandinavian Journal of Immunology.

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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