Markus Neef
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Transplantation top 10%
Papers in
- Hepatology 12
- Liver Disease and Transplantation 9
- Liver physiology and pathology 3
- Surgery 3
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
- Co-authors
- Vreni Schneider (3 shared papers)M Ledermann (3 shared papers)Michael Schepke (8 shared papers)Juerg Reichen (2 shared papers)Tilman Sauerbruch (9 shared papers)Erwin Biecker (4 shared papers)Jörg Heller (3 shared papers)Rainer P. Woitas (2 shared papers)
- Journals
- Journal of Hepatology (5 papers)European Journal of Clinical Investigation (2 papers)Liver International (2 papers)Hepatology (1 paper)Clinical Gastroenterology and Hepatology (1 paper)
- Partner nations
- GermanySwitzerlandVietnam
In The Last Decade
Markus Neef
15 papers receiving 584 citations
Peers
Comparison fields: 5 of 55
- Hepatology 305
- Transplantation 19
- Epidemiology 192
- Surgery 174
- Pharmacology 68
Countries citing papers authored by Markus Neef
This map shows the geographic impact of Markus Neef'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 Markus Neef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Neef more than expected).
Fields of papers citing papers by Markus Neef
This network shows the impact of papers produced by Markus Neef. 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 Markus Neef. The network helps show where Markus Neef may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Neef, 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 | 2006 | 117 | |
| 2 | 2001 | 97 | |
| 3 | 2002 | 84 | |
| 4 | 2005 | 74 | |
| 5 | 2005 | 69 | |
| 6 | 2001 | 33 | |
| 7 | 2003 | 26 | |
| 8 | 2005 | 24 | |
| 9 | 2004 | 22 | |
| 10 | 2008 | 16 | |
| 11 | 2003 | 15 | |
| 12 | 2001 | 10 | |
| 13 | 2003 | 6 | |
| 14 | 1985 | 2 | |
| 15 | 2002 | 1 |
About Markus Neef
Markus Neef is a scholar working on Hepatology, Surgery, Epidemiology, Physiology and Molecular Biology, having authored 15 papers that have together received 596 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Biochemical effects in animals (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Hormonal Regulation and Hypertension (1 paper), Connective Tissue Growth Factor Research (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Hepatology (305 citations), Transplantation (19 citations), Epidemiology (192 citations), Surgery (174 citations) and Pharmacology (68 citations). Markus Neef has collaborated with scholars based in Germany, Switzerland and Vietnam. Frequent co-authors include Vreni Schneider, M Ledermann, Michael Schepke, Juerg Reichen, Tilman Sauerbruch, Erwin Biecker, Jörg Heller, Rainer P. Woitas, Christian Rabe and Jürg Reichen. Their work appears in journals such as Journal of Hepatology, European Journal of Clinical Investigation, Liver International, Hepatology and Clinical Gastroenterology and Hepatology.
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.