Jan Stindt
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Epidemiology top 5%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Co-authors
- Ralf Kubitz (9 shared papers)Dieter Häussinger (15 shared papers)Verena Keitel (15 shared papers)Yi Ni (1 shared paper)Shirin Nkongolo (1 shared paper)Maria Fälth (1 shared paper)Florian A. Lempp (1 shared paper)Christina Kaufman (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of Hepatology (3 papers)Journal of Virology (2 papers)JHEP Reports (2 papers)Liver International (2 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Jan Stindt
28 papers receiving 1.7k citations
Jan Stindt's Hit Papers
Peers
Comparison fields: 5 of 123
- Hepatology 489
- Epidemiology 761
- Oncology 486
- Ecology, Evolution, Behavior and Systematics 182
- Infectious Diseases 145
Countries citing papers authored by Jan Stindt
This map shows the geographic impact of Jan Stindt'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 Jan Stindt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Stindt more than expected).
Fields of papers citing papers by Jan Stindt
This network shows the impact of papers produced by Jan Stindt. 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 Jan Stindt. The network helps show where Jan Stindt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Stindt, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hepatitis B and D Viruses Exploit Sodium Taurocholate Co-transporting Polypeptide for Species-Specific Entry into Hepatocytes Hit paper breakdown → | 2013 | 631 |
| 2 | 2005 | 326 | |
| 3 | 2012 | 139 | |
| 4 | 2009 | 105 | |
| 5 | 2019 | 82 | |
| 6 | 2021 | 70 | |
| 7 | 2011 | 58 | |
| 8 | 2019 | 44 | |
| 9 | 2014 | 43 | |
| 10 | 2011 | 37 | |
| 11 | 2013 | 28 | |
| 12 | 2014 | 27 | |
| 13 | 2014 | 21 | |
| 14 | 2013 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2022 | 17 | |
| 17 | 2013 | 15 | |
| 18 | 2017 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 11 |
About Jan Stindt
Jan Stindt is a scholar working on Oncology, Surgery, Epidemiology, Hepatology and Molecular Biology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (20 papers), Pediatric Hepatobiliary Diseases and Treatments (9 papers), Liver Diseases and Immunity (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Trace Elements in Health (3 papers), Cholesterol and Lipid Metabolism (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (489 citations), Epidemiology (761 citations), Oncology (486 citations), Ecology, Evolution, Behavior and Systematics (182 citations) and Infectious Diseases (145 citations). Jan Stindt has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Ralf Kubitz, Dieter Häussinger, Verena Keitel, Yi Ni, Shirin Nkongolo, Maria Fälth, Florian A. Lempp, Christina Kaufman, Michael Nassal and Stefan Mehrle. Their work appears in journals such as PLoS ONE, Journal of Hepatology, Journal of Virology, JHEP Reports and Liver International.
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.