A. Moerman

1.3k citations
41 papers · 1.1k · h-index 19

Impact in

Papers in

A. Moerman

40 papers receiving 1.0k citations

Peers

A. Moerman
Comparison fields: 5 of 80
  • Agronomy and Crop Science 289
  • Immunology 309
  • Epidemiology 373
  • Ecology, Evolution, Behavior and Systematics 236
  • Biological Psychiatry 25
Replace Karen Yao with:
Karen Yao United States
Eiji Matsuura Japan
Simona Ozden France
Yan Chai China
Réjane Rua France
Renée N. Douville Canada
Kerstin Hahn Germany
Etsuro Ono Japan
Bernard Klonjkowski France
Stephen J. Bush United Kingdom
A. Moerman relative to Karen Yao United States Karen Yao's profile →
Citations per field
00.5×1.7×
Karen Yao · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994151
2 1993115
3 199482
4 199456
5 201651
6 199646
7 200945
8 201542
9 199942
10 201541
11 200636
12 200233
13 200533
14 200432
15 199329
16 201528
17
Effective treatment with dihydrostreptomycin of naturally infected cows shedding Leptospira interrogans serovar hardjo subtype hardjobovis.
199425
18 199922
19
Inhibition of the activity of a neuronal kappaB-binding factor by glutamate.
199921
20 201618

About A. Moerman

A. Moerman is a scholar working on Immunology, Molecular Biology, Cancer Research, Epidemiology and Agronomy and Crop Science, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (8 papers), NF-κB Signaling Pathways (8 papers), Immune Response and Inflammation (6 papers), Animal Disease Management and Epidemiology (5 papers), Cervical Cancer and HPV Research (4 papers), Herpesvirus Infections and Treatments (4 papers), Heat shock proteins research (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (289 citations), Immunology (309 citations), Epidemiology (373 citations), Ecology, Evolution, Behavior and Systematics (236 citations) and Biological Psychiatry (25 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, A. L. J. Gielkens, F.A.M. Rijsewijk, M.J. Kaashoek, Mayumi Nakagawa, P. J. Straver and Josip Madić. Their work appears in journals such as Clinical and Vaccine Immunology, Journal of Biological Chemistry, Veterinary Record, Cellular Signalling and Oncotarget.

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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