Anna Michelitsch

701 citations
14 papers · 414 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • Animal Virus Infections Studies

Papers in

Anna Michelitsch

14 papers receiving 403 citations

Peers

Anna Michelitsch
Comparison fields: 5 of 42
  • Infectious Diseases 353
  • Animal Science and Zoology 169
  • Parasitology 97
  • Agronomy and Crop Science 50
  • Modeling and Simulation 22
Replace Katendi Changula with:
Katendi Changula Zambia
Peter Buck Canada
Maya Andonova Canada
Michael Sieg Germany
Silvia Ormelli Italy
Fernanda Ramos Portugal
Yigal Farnoushi Israel
Claudia Casaccia Italy
Brigitta Zana Hungary
Kirsi Aaltonen Finland
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Citations per field
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Citations per year

Countries citing papers authored by Anna Michelitsch

Since Specialization
Citations

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

Fields of papers citing papers by Anna Michelitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201998
2 202082
3 202064
4 202130
5 202127
6 202122
7 201915
8 202115
9 202214
10 201813
11 201913
12 20239
13 20218
14 20234

About Anna Michelitsch

Anna Michelitsch is a scholar working on Infectious Diseases, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Parasitology, having authored 14 papers that have together received 414 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Animal Virus Infections Studies (6 papers), Viral Infections and Vectors (4 papers), Animal Disease Management and Epidemiology (3 papers), COVID-19 Clinical Research Studies (3 papers), Vector-Borne Animal Diseases (3 papers), Vector-borne infectious diseases (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (353 citations), Animal Science and Zoology (169 citations), Parasitology (97 citations), Agronomy and Crop Science (50 citations) and Modeling and Simulation (22 citations). Anna Michelitsch has collaborated with scholars based in Germany, Hong Kong and China. Frequent co-authors include Kerstin Wernike, Martin Beer, Donata Hoffmann, Gerhard Dobler, Christine Klaus, Lorenz Ulrich, Thomas C. Mettenleiter, Jacob Schön, Jakob Trimpert and Nikolaus Osterrieder. Their work appears in journals such as Viruses, Transboundary and Emerging Diseases, Zoonoses and Public Health, Advances in virus research and Vaccines.

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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