Mathias Ackermann

7.5k citations
192 papers · 5.8k · h-index 44

Impact in

Papers in

    • Herpesvirus Infections and Treatments 92
    • Cytomegalovirus and herpesvirus research 32
    • Cervical Cancer and HPV Research 18
    • Virus-based gene therapy research 57

Mathias Ackermann

189 papers receiving 5.6k citations

Peers

Mathias Ackermann
Comparison fields: 5 of 124
  • Animal Science and Zoology 1.1k
  • Epidemiology 3.2k
  • Agronomy and Crop Science 855
  • Virology 398
  • Infectious Diseases 1.2k
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Ben Peeters Netherlands
Venugopal Nair United Kingdom
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Michael J. Studdert Australia
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Citations per year

Countries citing papers authored by Mathias Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001324
2 1984172
3 2005163
4 1998162
5 1996134
6 1996123
7 1994104
8 2005100
9 200291
10 200586
11 200186
12 200885
13 199485
14 198679
15 198677
16 200477
17 200474
18 201669
19 200667
20 199866

About Mathias Ackermann

Mathias Ackermann is a scholar working on Epidemiology, Genetics, Animal Science and Zoology, Immunology and Infectious Diseases, having authored 192 papers that have together received 5.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (92 papers), Virus-based gene therapy research (57 papers), Animal Virus Infections Studies (38 papers), Cytomegalovirus and herpesvirus research (32 papers), Viral gastroenteritis research and epidemiology (30 papers), Animal Disease Management and Epidemiology (25 papers), Vector-Borne Animal Diseases (21 papers) and Cervical Cancer and HPV Research (18 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Epidemiology (3.2k citations), Agronomy and Crop Science (855 citations), Virology (398 citations) and Infectious Diseases (1.2k citations). Mathias Ackermann has collaborated with scholars based in Switzerland, United States and Slovakia. Frequent co-authors include Kurt Tobler, Monika Engels, Cornel Fraefel, Anne Bridgen, Bernard Roizman, Claude Favrot, Martin Schwyzer, Marco Franchini, Mark Suter and Christian E. Lange. Their work appears in journals such as Journal of Virology, Veterinary Microbiology, Journal of General Virology, Advances in experimental medicine and biology and PLoS ONE.

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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