A. Moerman

1.3k citations
39 papers · 1.0k indexed · h-index 18

Impact in

Papers in

    • T-cell and Retrovirus Studies 9
    • Immune Response and Inflammation 7

A. Moerman

38 papers receiving 977 citations

Peers

A. Moerman
Comparison fields: 5 of 81
  • Agronomy and Crop Science 291
  • Immunology 291
  • Ecology, Evolution, Behavior and Systematics 250
  • Epidemiology 349
  • Biological Psychiatry 24
Replace Vanessa Herder with:
Vanessa Herder Germany
Karen Yao United States
Simona Ozden France
Renée N. Douville Canada
Kerstin Hahn Germany
Etsuro Ono Japan
Stephen J. Bush United Kingdom
Réjane Rua France
Eiji Matsuura Japan
Bernard Klonjkowski France
A. Moerman relative to Vanessa Herder Germany Vanessa Herder's profile →
Citations per field
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Vanessa Herder · 1×
Citations per year

Countries citing papers authored by A. Moerman

Since Specialization
Citations

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

Fields of papers citing papers by A. Moerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994150
2 1993114
3 199481
4 199456
5 201650
6 199644
7 200944
8 199940
9 201538
10 200636
11 200233
12 200531
13 200430
14 199328
15 201526
16
Effective treatment with dihydrostreptomycin of naturally infected cows shedding Leptospira interrogans serovar hardjo subtype hardjobovis.
199424
17 199922
18
Inhibition of the activity of a neuronal kappaB-binding factor by glutamate.
199920
19 201617
20 199517

About A. Moerman

A. Moerman is a scholar working on Aging, Immunology, Cancer Research, Agronomy and Crop Science and Neurology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (9 papers), NF-κB Signaling Pathways (8 papers), Immune Response and Inflammation (7 papers), Animal Disease Management and Epidemiology (5 papers), Herpesvirus Infections and Treatments (4 papers), Heat shock proteins research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (291 citations), Immunology (291 citations), Ecology, Evolution, Behavior and Systematics (250 citations), Epidemiology (349 citations) and Biological Psychiatry (24 citations). A. Moerman has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Steven W. Barger, Xianrong Mao, Jasper J. Quak, J.T. van Oirschot, F.A.M. Rijsewijk, A. L. J. Gielkens, M.J. Kaashoek, P. J. Straver, Mayumi Nakagawa and Josip Madić. Their work appears in journals such as Clinical and Vaccine Immunology, Journal of Biological Chemistry, Veterinary Record, Vaccine and Journal of Neuroinflammation.

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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