Martin Eiden

116 papers receiving 3.9k citations

Peers

Martin Eiden
Comparison fields: 5 of 87
  • Hepatology 488
  • Public Health, Environmental and Occupational Health 1.4k
  • Infectious Diseases 640
  • Parasitology 109
  • Neurology 219
Replace Ute Ziegler with:
Ute Ziegler Germany
D. S. Ellis United Kingdom
Estela Escribano-Romero Spain
Ali Zohaib China
Ling Jin United States
Franck Boué France
Julie K. Pfeiffer United States
Terry W. Spithill Australia
Ki‐Joon Song South Korea
Natalie A. Prow Australia
Martin Eiden relative to Ute Ziegler Germany Ute Ziegler's profile →
Citations per field
00.5×5×10×12.9×
Ute Ziegler · 1×
Citations per year

Countries citing papers authored by Martin Eiden

Since Specialization
Citations

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

Fields of papers citing papers by Martin Eiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013360
2 2018211
3 2012163
4 2011162
5 2006140
6 2018137
7 2020107
8 2010106
9 200688
10 201486
11 201981
12 200780
13 201369
14 201566
15 201564
16 199762
17 201862
18 201760
19 201258
20 201257

About Martin Eiden

Martin Eiden is a scholar working on Hepatology, Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology and Animal Science and Zoology, having authored 119 papers that have together received 4k indexed citations. Recurring topics across this work include Viral Infections and Vectors (37 papers), Hepatitis Viruses Studies and Epidemiology (29 papers), Mosquito-borne diseases and control (26 papers), Prion Diseases and Protein Misfolding (23 papers), Vector-Borne Animal Diseases (4 papers), Animal Virus Infections Studies (4 papers), Zoonotic diseases and public health (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Hepatology (488 citations), Public Health, Environmental and Occupational Health (1.4k citations), Infectious Diseases (640 citations), Parasitology (109 citations) and Neurology (219 citations). Martin Eiden has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Martin H. Groschup, Ute Ziegler, Ariel Vina-Rodrı́guez, Markus Keller, Josephine Schlosser, Anne Buschmann, Christine Fast, Jonas Schmidt‐Chanasit, Rainer G. Ulrich and Lisa Dähnert. Their work appears in journals such as Viruses, Transboundary and Emerging Diseases, Veterinary Research, PLoS neglected tropical diseases and Veterinary Microbiology.

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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