Katja Schulz
Impact in
- Agronomy and Crop Science top 0.5%
- Animal Disease Management and Epidemiology
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- Vector-Borne Animal Diseases
Papers in
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- Animal Disease Management and Epidemiology 41
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- Vector-Borne Animal Diseases 35
- Co-authors
- Franz J. Conraths (29 shared papers)Carola Sauter‐Louis (28 shared papers)Christoph Staubach (24 shared papers)Sandra Blome (8 shared papers)Imbi Nurmoja (9 shared papers)Arvo Viltrop (9 shared papers)Klaus Depner (4 shared papers)Kerli Mõtus (5 shared papers)
In The Last Decade
Katja Schulz
41 papers receiving 1.0k citations
Katja Schulz's Hit Papers
Peers
Comparison fields: 5 of 53
- Agronomy and Crop Science 931
- Ecology, Evolution, Behavior and Systematics 732
- Cardiology and Cardiovascular Medicine 315
- Infectious Diseases 165
- Immunology 149
Countries citing papers authored by Katja Schulz
This map shows the geographic impact of Katja Schulz'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 Katja Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Schulz more than expected).
Fields of papers citing papers by Katja Schulz
This network shows the impact of papers produced by Katja Schulz. 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 Katja Schulz. The network helps show where Katja Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | African Swine Fever in Wild Boar in Europe—A Review Hit paper breakdown → | 2021 | 135 |
| 2 | 2018 | 115 | |
| 3 | 2019 | 77 | |
| 4 | 2017 | 71 | |
| 5 | 2021 | 59 | |
| 6 | 2017 | 55 | |
| 7 | 2019 | 48 | |
| 8 | 2019 | 40 | |
| 9 | 2016 | 33 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2021 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2023 | 16 |
About Katja Schulz
Katja Schulz is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (41 papers), Vector-Borne Animal Diseases (35 papers), Viral Infections and Immunology Research (14 papers), T-cell and Retrovirus Studies (12 papers), Zoonotic diseases and public health (8 papers), Viral gastroenteritis research and epidemiology (3 papers), Wildlife Ecology and Conservation (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Agronomy and Crop Science (931 citations), Ecology, Evolution, Behavior and Systematics (732 citations), Cardiology and Cardiovascular Medicine (315 citations), Infectious Diseases (165 citations) and Immunology (149 citations). Katja Schulz has collaborated with scholars based in Germany, Estonia and Latvia. Frequent co-authors include Franz J. Conraths, Carola Sauter‐Louis, Christoph Staubach, Sandra Blome, Imbi Nurmoja, Arvo Viltrop, Klaus Depner, Kerli Mõtus, H Bergmann and Edvīns Oļševskis. Their work appears in journals such as Viruses, Preventive Veterinary Medicine, Animals, Scientific Reports and Transboundary and Emerging Diseases.
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.