Kathrin Endt
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research
- Viral gastroenteritis research and epidemiology
Papers in
-
- Clostridium difficile and Clostridium perfringens research 3
- Viral Infections and Vectors 2
- Viral gastroenteritis research and epidemiology 2
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- Gut microbiota and health 2
- Co-authors
- Mathias Heikenwälder (3 shared papers)Emma Slack (2 shared papers)Andrew J. Macpherson (2 shared papers)Siegfried Hapfelmeier (2 shared papers)Wolf‐Dietrich Hardt (5 shared papers)Maaike Stoel (1 shared paper)Kathy D. McCoy (1 shared paper)Maria L. Balmer (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Scientific Reports (1 paper)PLoS Pathogens (1 paper)Science (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Kathrin Endt
12 papers receiving 1.3k citations
Kathrin Endt's Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology 220
- Infectious Diseases 407
- Gastroenterology 106
- Food Science 331
- Immunology 364
Countries citing papers authored by Kathrin Endt
This map shows the geographic impact of Kathrin Endt'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 Kathrin Endt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Endt more than expected).
Fields of papers citing papers by Kathrin Endt
This network shows the impact of papers produced by Kathrin Endt. 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 Kathrin Endt. The network helps show where Kathrin Endt may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathrin Endt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Reversible Microbial Colonization of Germ-Free Mice Reveals the Dynamics of IgA Immune Responses Hit paper breakdown → | 2010 | 598 |
| 2 | 2010 | 265 | |
| 3 | 2008 | 147 | |
| 4 | 2012 | 107 | |
| 5 | 2014 | 92 | |
| 6 | 2009 | 47 | |
| 7 | 2012 | 21 | |
| 8 | 2022 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2011 | 0 |
About Kathrin Endt
Kathrin Endt is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Immunology and Food Science, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Escherichia coli research studies (3 papers), Viral Infections and Vectors (2 papers), Gut microbiota and health (2 papers), Immune Cell Function and Interaction (2 papers), Mosquito-borne diseases and control (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (220 citations), Infectious Diseases (407 citations), Gastroenterology (106 citations), Food Science (331 citations) and Immunology (364 citations). Kathrin Endt has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Mathias Heikenwälder, Emma Slack, Andrew J. Macpherson, Siegfried Hapfelmeier, Wolf‐Dietrich Hardt, Maaike Stoel, Kathy D. McCoy, Maria L. Balmer, Yuliya Velykoredko and Julia Cahenzli. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, PLoS Pathogens, Science and Cell Host & Microbe.
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.