Anna Michelitsch

717 citations
14 papers · 437 · 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
    • Vector-borne infectious diseases

Papers in

Anna Michelitsch

14 papers receiving 426 citations

Peers

Anna Michelitsch
Comparison fields: 5 of 43
  • Infectious Diseases 344
  • Parasitology 102
  • Animal Science and Zoology 156
  • Agronomy and Crop Science 47
  • Modeling and Simulation 20
Replace Alex Pauvolid‐Corrêa with:
Alex Pauvolid‐Corrêa Brazil
Yigal Farnoushi Israel
Peter Buck Canada
Silvia Ormelli Italy
Maya Andonova Canada
Claudia Casaccia Italy
Michael Sieg Germany
Gildas Le Minter France
Brigitta Zana Hungary
Lenka Černíková Czechia
Anna Michelitsch relative to Alex Pauvolid‐Corrêa Brazil Alex Pauvolid‐Corrêa's profile →
Citations per field
00.5×2.6×
Alex Pauvolid‐Corrêa · 1×
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 2019114
2 202083
3 202065
4 202130
5 202127
6 202123
7 201916
8 202115
9 202214
10 201914
11 201813
12 202110
13 20239
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 437 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), COVID-19 Clinical Research Studies (3 papers), Vector-borne infectious diseases (3 papers), Vector-Borne Animal Diseases (3 papers), Animal Disease Management and Epidemiology (3 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Infectious Diseases (344 citations), Parasitology (102 citations), Animal Science and Zoology (156 citations), Agronomy and Crop Science (47 citations) and Modeling and Simulation (20 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 Andrea Aebischer. Their work appears in journals such as Viruses, Transboundary and Emerging Diseases, Vaccines, Emerging infectious diseases and Zoonoses and Public Health.

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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