Daniel C. Rabe
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Extracellular vesicles in disease 4
- PI3K/AKT/mTOR signaling in cancer 4
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- MicroRNA in disease regulation 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Donald P. Bottaro (13 shared papers)Franco Cecchi (10 shared papers)Marsha Rich Rosner (5 shared papers)Casey Frankenberger (4 shared papers)Felicia Rustandy (2 shared papers)Shannon L. Stott (6 shared papers)Ji‐Young Lee (1 shared paper)Christie Kang (1 shared paper)
- Journals
- PLoS ONE (3 papers)Molecular Cancer Therapeutics (2 papers)Cancer Research (2 papers)Clinical & Experimental Metastasis (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel C. Rabe
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Hepatology 270
- Cancer Research 270
- Oncology 366
- Molecular Biology 637
- Immunology 163
Countries citing papers authored by Daniel C. Rabe
This map shows the geographic impact of Daniel C. Rabe'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 C. Rabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Rabe more than expected).
Fields of papers citing papers by Daniel C. Rabe
This network shows the impact of papers produced by Daniel C. Rabe. 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 C. Rabe. The network helps show where Daniel C. Rabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Rabe, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 260 | |
| 2 | 2013 | 182 | |
| 3 | 2012 | 175 | |
| 4 | 2010 | 170 | |
| 5 | 2020 | 123 | |
| 6 | 2015 | 108 | |
| 7 | 2012 | 37 | |
| 8 | 2021 | 35 | |
| 9 | 2011 | 32 | |
| 10 | 2011 | 27 | |
| 11 | 2011 | 19 | |
| 12 | 2004 | 17 | |
| 13 | 2012 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2016 | 8 | |
| 16 | 2016 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2009 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2009 | 2 |
About Daniel C. Rabe
Daniel C. Rabe is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Hepatology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (7 papers), Liver physiology and pathology (6 papers), MicroRNA in disease regulation (4 papers), Extracellular vesicles in disease (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pancreatic function and diabetes (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hepatology (270 citations), Cancer Research (270 citations), Oncology (366 citations), Molecular Biology (637 citations) and Immunology (163 citations). Daniel C. Rabe has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Donald P. Bottaro, Franco Cecchi, Marsha Rich Rosner, Casey Frankenberger, Felicia Rustandy, Shannon L. Stott, Ji‐Young Lee, Christie Kang, Marcelo G. Bonini and Jielin Yan. Their work appears in journals such as PLoS ONE, Molecular Cancer Therapeutics, Cancer Research, Clinical & Experimental Metastasis 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.