J. E. van Dijk

86 papers receiving 1.9k citations

Peers

J. E. van Dijk
Comparison fields: 5 of 117
  • Animal Science and Zoology 250
  • Infectious Diseases 382
  • Endocrinology 107
  • Microbiology 110
  • Small Animals 130
Replace Masashi Okamura with:
Masashi Okamura Japan
L. Bonizzi Italy
Courtney Dow United Kingdom
G Biozzi France
Ryoji Yamaguchi Japan
Mariarosaria Marinaro Italy
D Mouton France
Ludmila Tučková Czechia
Arno Müllbacher Australia
Mary O’Riordan United States
J. E. van Dijk relative to Masashi Okamura Japan Masashi Okamura's profile →
Citations per field
00.5×1.5×
Masashi Okamura · 1×
Citations per year

Countries citing papers authored by J. E. van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by J. E. van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. van Dijk. 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 J. E. van Dijk. The network helps show where J. E. van Dijk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002136
2 1992136
3 1991125
4 2005112
5 200594
6 199094
7 200287
8 200551
9 198850
10 197849
11 200445
12 200743
13 200743
14 198437
15 199235
16 200333
17 197832
18 200029
19 200328
20 200025

About J. E. van Dijk

J. E. van Dijk is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Animal Virus Infections Studies (5 papers), Microbial infections and disease research (5 papers), Glycosylation and Glycoproteins Research (4 papers), NMR spectroscopy and applications (4 papers), Veterinary Oncology Research (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Animal Science and Zoology (250 citations), Infectious Diseases (382 citations), Endocrinology (107 citations), Microbiology (110 citations) and Small Animals (130 citations). J. E. van Dijk has collaborated with scholars based in Netherlands, United States and Czechia. Frequent co-authors include J.F.J.G. Koninkx, Alphons J.A.M. van Asten, H. Nederbragt, J. M. V. M. Mouwen, Joshua J. Malago, Oudessa Kerro Dego, Jan J. M. de Vijlder, H. E. Smith, Henk J. Wisselink and U. Vecht. Their work appears in journals such as Veterinary Quarterly, Endocrinology, Veterinary Research Communications, European Journal of Endocrinology and Research in Veterinary Science.

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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