Michael Ott
Impact in
- Hepatology top 0.5%
- Liver physiology and pathology
- Hepatitis C virus research
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
- Hepatology 32
- Liver physiology and pathology 24
- Hepatitis C virus research 5
- Genetics 15
- Virus-based gene therapy research 15
- Co-authors
- Sanjeev Kumar Gupta (10 shared papers)Michael Peter Manns (36 shared papers)Tobias Cantz (28 shared papers)Amar Deep Sharma (32 shared papers)Qinggong Yuan (21 shared papers)Asha Balakrishnan (24 shared papers)Andrea Jochheim-Richter (8 shared papers)Eike Steinmann (7 shared papers)
- Journals
- Journal of Hepatology (17 papers)Hepatology (8 papers)Cell Transplantation (6 papers)PLoS ONE (3 papers)Nature Communications (3 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Michael Ott
117 papers receiving 6.3k citations
Michael Ott's Hit Papers
Peers
Comparison fields: 5 of 86
- Hepatology 1.2k
- Physiology 612
- Cancer Research 257
- Genetics 188
- Aging 19
Countries citing papers authored by Michael Ott
This map shows the geographic impact of Michael Ott'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 Michael Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ott more than expected).
Fields of papers citing papers by Michael Ott
This network shows the impact of papers produced by Michael Ott. 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 Michael Ott. The network helps show where Michael Ott may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ott, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Senescence surveillance of pre-malignant hepatocytes limits liver cancer development Hit paper breakdown → | 2011 | 1349 |
| 2 | 1998 | 320 | |
| 3 | 2010 | 268 | |
| 4 | 2009 | 183 | |
| 5 | 2016 | 183 | |
| 6 | 2011 | 175 | |
| 7 | 2013 | 167 | |
| 8 | 2006 | 160 | |
| 9 | 2021 | 133 | |
| 10 | 2009 | 130 | |
| 11 | 2020 | 130 | |
| 12 | 2012 | 124 | |
| 13 | 2013 | 124 | |
| 14 | 2007 | 122 | |
| 15 | 1997 | 100 | |
| 16 | 2010 | 97 | |
| 17 | 2009 | 88 | |
| 18 | 2007 | 87 | |
| 19 | 2010 | 79 | |
| 20 | 1998 | 77 |
About Michael Ott
Michael Ott is a scholar working on Hepatology, Genetics, Cancer Research, Molecular Biology and Surgery, having authored 123 papers that have together received 6.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (24 papers), Virus-based gene therapy research (15 papers), Pluripotent Stem Cells Research (11 papers), MicroRNA in disease regulation (6 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Hepatology (1.2k citations), Physiology (612 citations), Cancer Research (257 citations), Genetics (188 citations) and Aging (19 citations). Michael Ott has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Sanjeev Kumar Gupta, Michael Peter Manns, Tobias Cantz, Amar Deep Sharma, Qinggong Yuan, Asha Balakrishnan, Andrea Jochheim-Richter, Eike Steinmann, Heiner H. Wedemeyer and Thomas Pietschmann. Their work appears in journals such as Journal of Hepatology, Hepatology, Cell Transplantation, PLoS ONE and Nature Communications.
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.