Michael Ott
Impact in
- Hepatology top 0.5%
- Liver physiology and pathology
- Hepatitis C virus research
- Virology top 5%
Papers in
-
- Pluripotent Stem Cells Research 18
- Genomics and Phylogenetic Studies 11
- CRISPR and Genetic Engineering 10
- Hepatology 48
- Liver physiology and pathology 39
- Co-authors
- Sanjeev Gupta (11 shared papers)Michael P. Manns (35 shared papers)Alexandros Stamatakis (10 shared papers)Tobias Cantz (27 shared papers)Amar Deep Sharma (27 shared papers)Qinggong Yuan (21 shared papers)Asha Balakrishnan (22 shared papers)Eike Steinmann (6 shared papers)
- Journals
- Journal of Hepatology (10 papers)Hepatology (7 papers)Cell Transplantation (5 papers)PLoS ONE (3 papers)American Journal Of Pathology (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Ott
127 papers receiving 5.8k citations
Michael Ott's Hit Papers
Peers
Comparison fields: 5 of 164
- Hepatology 1.7k
- Virology 203
- Paleontology 321
- Molecular Biology 2.2k
- Cancer Research 392
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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assessing the root of bilaterian animals with scalable phylogenomic methods Hit paper breakdown → | 2009 | 615 |
| 2 | 1998 | 318 | |
| 3 | 2010 | 262 | |
| 4 | 2013 | 171 | |
| 5 | 2016 | 169 | |
| 6 | 2006 | 157 | |
| 7 | 1996 | 154 | |
| 8 | 1993 | 133 | |
| 9 | 2020 | 128 | |
| 10 | 2009 | 122 | |
| 11 | 2012 | 119 | |
| 12 | 2007 | 119 | |
| 13 | 2005 | 118 | |
| 14 | 2007 | 112 | |
| 15 | 2011 | 108 | |
| 16 | 2001 | 106 | |
| 17 | 1997 | 100 | |
| 18 | 2010 | 92 | |
| 19 | 2009 | 87 | |
| 20 | 2007 | 85 |
About Michael Ott
Michael Ott is a scholar working on Molecular Biology, Hepatology, Surgery, Genetics and Epidemiology, having authored 139 papers that have together received 6.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (39 papers), Pluripotent Stem Cells Research (18 papers), Pancreatic function and diabetes (17 papers), Virus-based gene therapy research (13 papers), Genomics and Phylogenetic Studies (11 papers), Organ Transplantation Techniques and Outcomes (11 papers), CRISPR and Genetic Engineering (10 papers) and Liver Disease Diagnosis and Treatment (8 papers). The work is most often cited by research in Hepatology (1.7k citations), Virology (203 citations), Paleontology (321 citations), Molecular Biology (2.2k citations) and Cancer Research (392 citations). Michael Ott has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Sanjeev Gupta, Michael P. Manns, Alexandros Stamatakis, Tobias Cantz, Amar Deep Sharma, Qinggong Yuan, Asha Balakrishnan, Eike Steinmann, Thomas Ludwig and Heiner Wedemeyer. Their work appears in journals such as Journal of Hepatology, Hepatology, Cell Transplantation, PLoS ONE and American Journal Of Pathology.
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.