H. M. Vordermeier

1.9k citations
36 papers · 1.6k indexed · h-index 22
Topics
Tuberculosis Research and Epidemiology (26 papers)Mycobacterium research and diagnosis (23 papers)vaccines and immunoinformatics approaches (9 papers)

In The Last Decade

H. M. Vordermeier

36 papers receiving 1.5k citations

Peers

H. M. Vordermeier
Comparison fields: 5 of 70
  • Infectious Diseases 1.2k
  • Epidemiology 1.0k
  • Immunology 539
  • Molecular Biology 333
  • Microbiology 255
Replace Paul Cockle with:
Paul Cockle United Kingdom
Rena Greenwald United States
Homayoun Shams United States
J.S. Rothel Australia
Sven D.C. Parsons South Africa
D.G. Bryson United Kingdom
H. Martin Vordermeier United Kingdom
J. McNair United Kingdom
Michelle Thom United Kingdom
Benjamin Wizel United States
H. M. Vordermeier relative to Paul Cockle United Kingdom Paul Cockle's profile →
Citations per field
00.5×1.5×1.9×
Paul Cockle · 1×
Citations per year

Countries citing papers authored by H. M. Vordermeier

Since Specialization
Citations

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

Fields of papers citing papers by H. M. Vordermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. M. Vordermeier

This figure shows the co-authorship network connecting the top 25 collaborators of H. M. Vordermeier. A scholar is included among the top collaborators of H. M. Vordermeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H. M. Vordermeier. H. M. Vordermeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 9
3 19
4 29
5 88
6 18
7 246
8 39
9 54
10 55
11 53
12 25
13 114
14 73
15 29
16
Recognition of peptide epitopes of the 16,000 MW antigen of Mycobacterium tuberculosis by murine T cells.
19
17 23
18 40
19 6
20 17

About H. M. Vordermeier

H. M. Vordermeier is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (26 papers), Mycobacterium research and diagnosis (23 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Microbiology (255 citations) and Epidemiology (1.0k citations). H. M. Vordermeier has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include R. Glyn Hewinson, Juraj Iványi, Bryce M. Buddle, David P. Harris, N Venkataprasad, Bernardo Villarreal‐Ramos, Jayne C. Hope, Mitchell V. Palmer, W. Ray Waters and Tyler C. Thacker. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Microbiology and Infection and Immunity.

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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