R.H. Van Dam

617 citations
15 papers · 442 · h-index 10

Impact in

  • Microbiology top 10%
    • Microbial infections and disease research
    • Aquaculture disease management and microbiota
    • T-cell and B-cell Immunology

Papers in

    • Coccidia and coccidiosis research 2
    • Animal Nutrition and Physiology 2
    • Immune Response and Inflammation 2
    • Aquaculture disease management and microbiota 2

R.H. Van Dam

15 papers receiving 387 citations

Peers

R.H. Van Dam
Comparison fields: 5 of 82
  • Microbiology 41
  • Immunology 121
  • Small Animals 40
  • Parasitology 31
  • Structural Biology 6
Replace J.A. van der Donk with:
J.A. van der Donk Netherlands
A. Noordzij Netherlands
Sven‐Eric Svehag United States
Philip N. Bochsler United States
Sheri M. Skinner United States
D.B.A. Symons Slovakia
Patricia E Lind Australia
Dieter Burger United States
G. Florent Belgium
Christine Mazingue France
R.H. Van Dam relative to J.A. van der Donk Netherlands J.A. van der Donk's profile →
Citations per field
00.5×1.5×
J.A. van der Donk · 1×
Citations per year

Countries citing papers authored by R.H. Van Dam

Since Specialization
Citations

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

Fields of papers citing papers by R.H. Van Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.H. Van Dam. 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 R.H. Van Dam. The network helps show where R.H. Van Dam may publish in the future.

Co-authors

The 16 scholars most cited alongside R.H. Van Dam, 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 R.H. Van Dam Line = papers co-authored together R.H. Van Dam links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1978257
2 197856
3 197620
4 197819
5 197716
6 198214
7 198210
8 197910
9 198110
10 198110
11 19789
12 19854
13 19783
14 19783
15 19811

About R.H. Van Dam

R.H. Van Dam is a scholar working on Animal Science and Zoology, Immunology, Small Animals, Genetics and Molecular Biology, having authored 15 papers that have together received 442 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (2 papers), Coccidia and coccidiosis research (2 papers), Animal Nutrition and Physiology (2 papers), Animal health and immunology (2 papers), Immune Response and Inflammation (2 papers), Animal Diversity and Health Studies (2 papers), Aquaculture disease management and microbiota (2 papers) and Helminth infection and control (2 papers). The work is most often cited by research in Microbiology (41 citations), Immunology (121 citations), Small Animals (40 citations), Parasitology (31 citations) and Structural Biology (6 citations). R.H. Van Dam has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include J.A. van der Donk, J. Goudswaard, A. Noordzij, Jean‐Pierre Vaerman, C.J.M. Lips, W. H. L. Hackeng, J. van der Sluys Veer, Peter J. S. van Kooten, Reinoud J. Bootsma and N. M. Perié. Their work appears in journals such as Veterinary Immunology and Immunopathology, Scandinavian Journal of Immunology, Poultry Science, The Lancet and International Journal of Immunogenetics.

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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