Bodo R. Eing

562 citations
18 papers · 431 · h-index 12

Impact in

  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research
    • Mycobacterium research and diagnosis
  • Virology top 10%

Papers in

    • Herpesvirus Infections and Treatments 10
    • Cytomegalovirus and herpesvirus research 5
    • Mycobacterium research and diagnosis 2
    • Toxin Mechanisms and Immunotoxins 3

Bodo R. Eing

18 papers receiving 417 citations

Peers

Bodo R. Eing
Comparison fields: 5 of 67
  • Epidemiology 272
  • Virology 33
  • Infectious Diseases 122
  • Endocrinology 27
  • Immunology 84
Replace G. McIntyre with:
G. McIntyre United Kingdom
M Ranki Finland
Kamila Caraballo Cortés Poland
Ursula Meyer‐König Germany
R. MacDonald Australia
Erik Beuken Netherlands
Anita Patel United States
Farshid Jalalvand Sweden
Göran Utter Sweden
Isabelle Grosjean France
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Citations per field
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G. McIntyre · 1×
Citations per year

Countries citing papers authored by Bodo R. Eing

Since Specialization
Citations

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

Fields of papers citing papers by Bodo R. Eing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bodo R. Eing. 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 Bodo R. Eing. The network helps show where Bodo R. Eing may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201281
2 199875
3 201441
4 200028
5 198826
6 200226
7 200725
8 199524
9 200122
10 198920
11 200419
12 200815
13 20017
14 19996
15 20026
16 20085
17
Detection of Cryptosporidium parvum in human feces by PCR.
19983
18 20062

About Bodo R. Eing

Bodo R. Eing is a scholar working on Epidemiology, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 431 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), Cytomegalovirus and herpesvirus research (5 papers), Toxin Mechanisms and Immunotoxins (3 papers), Virus-based gene therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Dermatology and Skin Diseases (2 papers), Mycobacterium research and diagnosis (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Epidemiology (272 citations), Virology (33 citations), Infectious Diseases (122 citations), Endocrinology (27 citations) and Immunology (84 citations). Bodo R. Eing has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Joachim Kühn, Eva U. Lorentzen, Wali Hafezi, Rüdiger Braun, Thomas C. Mettenleiter, Barbara G. Klupp, Marcus Müller, Nicholas J. C. King, Wolfram W. Rudolph and Percy Schröttner. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Virology, PLoS Pathogens, Diagnostic Microbiology and Infectious Disease and Journal of General Virology.

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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