Frank Dombrowski
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 10
- Metabolism, Diabetes, and Cancer 8
- Surgery 46
- Pancreatic function and diabetes 17
- Organ Transplantation Techniques and Outcomes 10
- Co-authors
- Matthias Evert (52 shared papers)Diego F. Calvisi (50 shared papers)Xin Chen (26 shared papers)Silvia Ribback (49 shared papers)Antonio Cigliano (33 shared papers)Sara Ladu (8 shared papers)Thomas Minor (10 shared papers)U. Pfeifer (14 shared papers)
- Journals
- Hepatology (14 papers)Oncotarget (8 papers)Journal of Hepatology (8 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (5 papers)Scientific Reports (4 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Frank Dombrowski
154 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 134
- Hepatology 810
- Cancer Research 1.1k
- Cell Biology 660
- Molecular Biology 2.5k
- Oncology 871
Countries citing papers authored by Frank Dombrowski
This map shows the geographic impact of Frank Dombrowski'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 Frank Dombrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Dombrowski more than expected).
Fields of papers citing papers by Frank Dombrowski
This network shows the impact of papers produced by Frank Dombrowski. 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 Frank Dombrowski. The network helps show where Frank Dombrowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Dombrowski, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 478 | |
| 2 | 2012 | 362 | |
| 3 | 2005 | 254 | |
| 4 | 2014 | 228 | |
| 5 | 2000 | 221 | |
| 6 | 2001 | 202 | |
| 7 | 2011 | 191 | |
| 8 | 2009 | 129 | |
| 9 | 2015 | 123 | |
| 10 | 2016 | 104 | |
| 11 | 2015 | 98 | |
| 12 | 2000 | 93 | |
| 13 | 2016 | 90 | |
| 14 | 2003 | 89 | |
| 15 | 1999 | 84 | |
| 16 | 2019 | 84 | |
| 17 | 2013 | 83 | |
| 18 | 2013 | 79 | |
| 19 | 2005 | 79 | |
| 20 | 2008 | 76 |
About Frank Dombrowski
Frank Dombrowski is a scholar working on Molecular Biology, Surgery, Epidemiology, Cancer Research and Cell Biology, having authored 157 papers that have together received 6.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), Liver Disease Diagnosis and Treatment (13 papers), Organ Transplantation Techniques and Outcomes (10 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Cancer, Lipids, and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Liver physiology and pathology (7 papers). The work is most often cited by research in Hepatology (810 citations), Cancer Research (1.1k citations), Cell Biology (660 citations), Molecular Biology (2.5k citations) and Oncology (871 citations). Frank Dombrowski has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Matthias Evert, Diego F. Calvisi, Xin Chen, Silvia Ribback, Antonio Cigliano, Sara Ladu, Thomas Minor, U. Pfeifer, Salvatore Delogu and Chunmei Wang. Their work appears in journals such as Hepatology, Oncotarget, Journal of Hepatology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Scientific Reports.
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.