Benjamin C. Yan
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Cancer Genomics and Diagnostics
Papers in
-
- Studies on Chitinases and Chitosanases 3
- Fungal and yeast genetics research 2
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
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- Trypanosoma species research and implications 1
- Co-authors
- Hikmat Al‐Ahmadie (5 shared papers)Alexander C. Mackinnon (7 shared papers)John Hart (3 shared papers)Peter Orlean (4 shared papers)Loren Joseph (3 shared papers)Maria Tretiakova (2 shared papers)Thomas Krausz (2 shared papers)Shu‐Yuan Xiao (1 shared paper)
- Journals
- Archives of Pathology & Laboratory Medicine (6 papers)Eukaryotic Cell (1 paper)Journal of Clinical Pathology (1 paper)European Journal of Biochemistry (1 paper)Cell (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Benjamin C. Yan
19 papers receiving 559 citations
Peers
Comparison fields: 5 of 65
- Hepatology 66
- Cancer Research 84
- Cell Biology 57
- Oncology 81
- Molecular Biology 215
Countries citing papers authored by Benjamin C. Yan
This map shows the geographic impact of Benjamin C. Yan'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 Benjamin C. Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin C. Yan more than expected).
Fields of papers citing papers by Benjamin C. Yan
This network shows the impact of papers produced by Benjamin C. Yan. 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 Benjamin C. Yan. The network helps show where Benjamin C. Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin C. Yan, 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 | 2010 | 170 | |
| 2 | 2004 | 59 | |
| 3 | 2010 | 41 | |
| 4 | 2009 | 40 | |
| 5 | 2009 | 39 | |
| 6 | 2009 | 35 | |
| 7 | 2009 | 34 | |
| 8 | 2001 | 29 | |
| 9 | 2005 | 29 | |
| 10 | 2010 | 28 | |
| 11 | 2003 | 18 | |
| 12 | 2014 | 15 | |
| 13 | 2009 | 13 | |
| 14 | 2009 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 1991 | 6 | |
| 17 | 2012 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 1999 | 1 |
About Benjamin C. Yan
Benjamin C. Yan is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Artificial Intelligence, having authored 19 papers that have together received 581 indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (3 papers), Fungal and yeast genetics research (2 papers), Prostate Cancer Treatment and Research (2 papers), Trypanosoma species research and implications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Renal cell carcinoma treatment (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Hepatology (66 citations), Cancer Research (84 citations), Cell Biology (57 citations), Oncology (81 citations) and Molecular Biology (215 citations). Benjamin C. Yan has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Hikmat Al‐Ahmadie, Alexander C. Mackinnon, John Hart, Peter Orlean, Loren Joseph, Maria Tretiakova, Thomas Krausz, Shu‐Yuan Xiao, Can Gong and Elizabeth Hyjek. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Eukaryotic Cell, Journal of Clinical Pathology, European Journal of Biochemistry and Cell.
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.