Karin Dijkman

1.3k citations
24 papers · 875 · h-index 15

Impact in

    • Tuberculosis Research and Epidemiology
    • Leprosy Research and Treatment
  • Immunology top 5%
    • Immune responses and vaccinations
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Tuberculosis Research and Epidemiology 14
    • Leprosy Research and Treatment 4
    • Immunodeficiency and Autoimmune Disorders 5
    • Immune responses and vaccinations 5
    • T-cell and B-cell Immunology 4
    • Complement system in diseases 3
    • Immunotherapy and Immune Responses 3

Karin Dijkman

24 papers receiving 858 citations

Peers

Karin Dijkman
Comparison fields: 5 of 74
  • Infectious Diseases 572
  • Immunology 469
  • Epidemiology 280
  • Virology 22
  • Microbiology 16
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Kristin Griffiths United Kingdom
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Laura Lozza Germany
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Citations per field
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Citations per year

Countries citing papers authored by Karin Dijkman

Since Specialization
Citations

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

Fields of papers citing papers by Karin Dijkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019213
2 201280
3 202168
4 201368
5 201357
6 201456
7 201848
8 201537
9 202135
10 201930
11 201427
12 201226
13 202121
14 201617
15 202015
16 202315
17 202415
18 201413
19 201111
20 202310

About Karin Dijkman

Karin Dijkman is a scholar working on Infectious Diseases, Immunology, Epidemiology, Molecular Medicine and Genetics, having authored 24 papers that have together received 875 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Immune responses and vaccinations (5 papers), T-cell and B-cell Immunology (4 papers), Leprosy Research and Treatment (4 papers), Complement system in diseases (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Infectious Diseases (572 citations), Immunology (469 citations), Epidemiology (280 citations), Virology (22 citations) and Microbiology (16 citations). Karin Dijkman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Tom H. M. Ottenhoff, Annemieke Geluk, Frank A. W. Verreck, Krista G. Haanstra, Susan J. F. van den Eeden, Kees L. M. C. Franken, Richard A. W. Vervenne, Claudia C. Sombroek, Sam Otto Hofman and Michel Vierboom. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Scientific Reports, npj Vaccines and Vaccine.

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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