Martin Vordermeier

3.6k citations
79 papers · 2.6k indexed · h-index 29

Impact in

Papers in

Martin Vordermeier

79 papers receiving 2.5k citations

Peers

Martin Vordermeier
Comparison fields: 5 of 92
  • Infectious Diseases 2.0k
  • Epidemiology 1.6k
  • Microbiology 269
  • Agronomy and Crop Science 336
  • Immunology 666
Replace H. Martin Vordermeier with:
H. Martin Vordermeier United Kingdom
Tyler C. Thacker United States
Frank E. Aldwell New Zealand
H. M. Vordermeier United Kingdom
Adam O. Whelan United Kingdom
Joseph P. Cassidy Ireland
J. McNair United Kingdom
Konstantin P. Lyashchenko United States
Javan Esfandiari United States
William G. Dundon Austria
Martin Vordermeier relative to H. Martin Vordermeier United Kingdom H. Martin Vordermeier's profile →
Citations per field
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H. Martin Vordermeier · 1×
Citations per year

Countries citing papers authored by Martin Vordermeier

Since Specialization
Citations

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

Fields of papers citing papers by Martin Vordermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20223
3 202114
4 202129
5 201813
6 201711
7 201527
8 201414
9 201428
10 20136
11 201291
12 201227
13 201298
14 201127
15 201110
16 201112
17 201011
18 200914
19 20099
20 200376

About Martin Vordermeier

Martin Vordermeier is a scholar working on Infectious Diseases, Microbiology, Epidemiology, Immunology and Small Animals, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (63 papers), Mycobacterium research and diagnosis (55 papers), vaccines and immunoinformatics approaches (16 papers), Immune responses and vaccinations (13 papers), Diagnosis and treatment of tuberculosis (11 papers), Microbial infections and disease research (11 papers), Immune Response and Inflammation (8 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Epidemiology (1.6k citations), Microbiology (269 citations), Agronomy and Crop Science (336 citations) and Immunology (666 citations). Martin Vordermeier has collaborated with scholars based in United Kingdom, Ethiopia and United States. Frequent co-authors include R. Glyn Hewinson, Abraham Aseffa, Gobena Ameni, Stephen V. Gordon, Adam O. Whelan, Douglas B. Young, Stefan Berg, Howard Engers, Gareth J. Jones and A Wangoo. Their work appears in journals such as PLoS ONE, Vaccine, Clinical and Vaccine Immunology, Tuberculosis and Scientific Reports.

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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