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 284
  • Immunology 308
  • Epidemiology 375
  • Ecology, Evolution, Behavior and Systematics 233
  • Biological Psychiatry 27
Replace Florian Hansmann with:
Florian Hansmann Germany
Karen Yao United States
Kerstin Hahn Germany
Eiji Matsuura Japan
Penny P. Powell United Kingdom
Renée N. Douville Canada
Chak‐Sum Ho United States
Etsuro Ono Japan
Réjane Rua France
Boris A. Lapin Russia
A. Moerman relative to Florian Hansmann Germany Florian Hansmann's profile →
Citations per field
00.5×2×2.6×
Florian Hansmann · 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 1993113
3 199482
4 199457
5 201650
6 200947
7 199646
8 201544
9 201542
10 199942
11 200637
12 200534
13 200433
14 200233
15 199329
16 201528
17
Effective treatment with dihydrostreptomycin of naturally infected cows shedding Leptospira interrogans serovar hardjo subtype hardjobovis.
199425
18 199924
19
Inhibition of the activity of a neuronal kappaB-binding factor by glutamate.
199921
20 201619

About A. Moerman

A. Moerman is a scholar working on Immunology, Cancer Research, Agronomy and Crop Science, Epidemiology and Neurology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), T-cell and Retrovirus Studies (7 papers), Immune Response and Inflammation (6 papers), Heat shock proteins research (4 papers), Animal Disease Management and Epidemiology (4 papers), Cervical Cancer and HPV Research (4 papers), Herpesvirus Infections and Treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Agronomy and Crop Science (284 citations), Immunology (308 citations), Epidemiology (375 citations), Ecology, Evolution, Behavior and Systematics (233 citations) and Biological Psychiatry (27 citations). A. Moerman has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Steven W. Barger, Xianrong R. Mao, Jasper J. Quak, Jan T. van Oirschot, Arno 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, Veterinary Record, Journal of Biological Chemistry, Journal of General Virology and Neuromuscular Disorders.

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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