Michael Bergmann

240 papers receiving 6.3k citations

Peers

Michael Bergmann
Comparison fields: 5 of 187
  • Reproductive Medicine 711
  • Immunology 1.1k
  • Oncology 962
  • Molecular Biology 1.8k
  • Transplantation 64
Replace Hong Zhang with:
Hong Zhang China
Jiang Gu China
Lin Li China
Nancy J. Olsen United States
Ivan Damjanov United States
Claudio Orlando Italy
Michael Christiansen Denmark
Pierce K. H. Chow Singapore
Lin Lin China
A. Graham Pockley United Kingdom
Michael Bergmann relative to Hong Zhang China Hong Zhang's profile →
Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Michael Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 264 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000376
2 1998321
3 2000307
4 2002212
5 2010186
6 2013158
7 1998121
8 2000119
9 2010112
10 1996106
11 2007106
12 198291
13 201790
14 201488
15
Immunomodulatory effects of vasoactive catecholamines.
200283
16
A genetically engineered influenza A virus with ras-dependent oncolytic properties.
200181
17
A whole blood FK 506 assay for the IMx analyzer.
199179
18 199976
19 202176
20 201670

About Michael Bergmann

Michael Bergmann is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Genetics, having authored 264 papers that have together received 6.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (19 papers), Cancer Immunotherapy and Biomarkers (16 papers), Virus-based gene therapy research (12 papers), Satellite Communication Systems (11 papers), Immune cells in cancer (10 papers), Influenza Virus Research Studies (9 papers), Advanced Wireless Communication Techniques (9 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Reproductive Medicine (711 citations), Immunology (1.1k citations), Oncology (962 citations), Molecular Biology (1.8k citations) and Transplantation (64 citations). Michael Bergmann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Thomas Muster, David S. Freedman, Ali H. Mokdad, T. Byers, Adolfo García‐Sastre, Peter Palese, Thomas Sautner, Johannes Laengle, Hubert Pehamberger and Klaus Wolff. Their work appears in journals such as PLoS ONE, Human Reproduction, International Journal of Andrology, International Journal of Molecular Sciences and Journal of 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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