Michael Niepmann
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Viral Infections and Immunology Research 22
- Hepatology 12
- Hepatitis C virus research 12
- Co-authors
- Yutong Song (8 shared papers)Junfeng Zheng (2 shared papers)Ellie Tzima (6 shared papers)Christian G. Schüttler (1 shared paper)Gesche K. Gerresheim (7 shared papers)Heidi Trusheim (4 shared papers)Klaus T. Preissner (4 shared papers)Ewald Beck (4 shared papers)
In The Last Decade
Michael Niepmann
44 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 89
- Hepatology 516
- Cancer Research 742
- Cardiology and Cardiovascular Medicine 778
- Molecular Biology 1.6k
- Hematology 254
Countries citing papers authored by Michael Niepmann
This map shows the geographic impact of Michael Niepmann'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 Niepmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Niepmann more than expected).
Fields of papers citing papers by Michael Niepmann
This network shows the impact of papers produced by Michael Niepmann. 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 Niepmann. The network helps show where Michael Niepmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Niepmann, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 560 | |
| 2 | 2007 | 462 | |
| 3 | 2018 | 139 | |
| 4 | 2006 | 112 | |
| 5 | 2003 | 94 | |
| 6 | 2005 | 89 | |
| 7 | 2013 | 86 | |
| 8 | 1997 | 86 | |
| 9 | 2005 | 78 | |
| 10 | 2013 | 71 | |
| 11 | 2009 | 68 | |
| 12 | 1995 | 68 | |
| 13 | 2002 | 63 | |
| 14 | 2006 | 62 | |
| 15 | 2009 | 61 | |
| 16 | 2015 | 48 | |
| 17 | 2012 | 48 | |
| 18 | 2013 | 47 | |
| 19 | 1996 | 43 | |
| 20 | 2010 | 42 |
About Michael Niepmann
Michael Niepmann is a scholar working on Cardiology and Cardiovascular Medicine, Hepatology, Cancer Research, Molecular Biology and Agronomy and Crop Science, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (22 papers), RNA and protein synthesis mechanisms (20 papers), Hepatitis C virus research (12 papers), MicroRNA in disease regulation (9 papers), Animal Disease Management and Epidemiology (8 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Hepatology (516 citations), Cancer Research (742 citations), Cardiology and Cardiovascular Medicine (778 citations), Molecular Biology (1.6k citations) and Hematology (254 citations). Michael Niepmann has collaborated with scholars based in Germany, Russia and Australia. Frequent co-authors include Yutong Song, Junfeng Zheng, Ellie Tzima, Christian G. Schüttler, Gesche K. Gerresheim, Heidi Trusheim, Klaus T. Preissner, Ewald Beck, Lyudmila A. Shalamova and Aya Shibamiya. Their work appears in journals such as Journal of Virology, International Journal of Molecular Sciences, Journal of General Virology, RNA and Biochemical Journal.
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.