Daniel Benten
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Hematology top 5%
Papers in
- Hepatology 25
- Liver Disease and Transplantation 13
- Liver physiology and pathology 11
- Surgery 19
- Organ Transplantation Techniques and Outcomes 10
- Pancreatic function and diabetes 5
- Co-authors
- Sanjeev Gupta (14 shared papers)Jörg Schrader (6 shared papers)Alexander Quaas (2 shared papers)Shaun Walsh (1 shared paper)Stuart J. Forbes (2 shared papers)Rebecca L. Aucott (1 shared paper)M. van Deemter (2 shared papers)John P. Iredale (2 shared papers)
- Journals
- Hepatology (5 papers)Nature Medicine (2 papers)Blood (2 papers)JHEP Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Daniel Benten
50 papers receiving 2.2k citations
Daniel Benten's Hit Papers
Peers
Comparison fields: 5 of 115
- Hepatology 529
- Hematology 303
- Cell Biology 382
- Oncology 587
- Genetics 187
Countries citing papers authored by Daniel Benten
This map shows the geographic impact of Daniel Benten'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 Daniel Benten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Benten more than expected).
Fields of papers citing papers by Daniel Benten
This network shows the impact of papers produced by Daniel Benten. 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 Daniel Benten. The network helps show where Daniel Benten may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Benten, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matrix stiffness modulates proliferation, chemotherapeutic response, and dormancy in hepatocellular carcinoma cells Hit paper breakdown → | 2010 | 568 |
| 2 | 2010 | 146 | |
| 3 | 2005 | 144 | |
| 4 | 2008 | 132 | |
| 5 | 2008 | 122 | |
| 6 | 2011 | 111 | |
| 7 | 2012 | 79 | |
| 8 | 2005 | 67 | |
| 9 | 2010 | 63 | |
| 10 | 2005 | 63 | |
| 11 | 2005 | 57 | |
| 12 | 2009 | 56 | |
| 13 | 2018 | 54 | |
| 14 | 2005 | 40 | |
| 15 | 2019 | 33 | |
| 16 | 2009 | 33 | |
| 17 | 2012 | 31 | |
| 18 | 2008 | 30 | |
| 19 | 2008 | 30 | |
| 20 | 2012 | 30 |
About Daniel Benten
Daniel Benten is a scholar working on Hepatology, Surgery, Epidemiology, Molecular Biology and Oncology, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Liver physiology and pathology (11 papers), Organ Transplantation Techniques and Outcomes (10 papers), Neuroendocrine Tumor Research Advances (6 papers), Neuroblastoma Research and Treatments (5 papers), Pancreatic function and diabetes (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Hepatology (529 citations), Hematology (303 citations), Cell Biology (382 citations), Oncology (587 citations) and Genetics (187 citations). Daniel Benten has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Sanjeev Gupta, Jörg Schrader, Alexander Quaas, Shaun Walsh, Stuart J. Forbes, Rebecca L. Aucott, M. van Deemter, John P. Iredale, Rebecca G. Wells and Timothy T. Gordon‐Walker. Their work appears in journals such as Hepatology, Nature Medicine, Blood, JHEP Reports and Oncotarget.
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.