James Jiao
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 8
- Chronic Lymphocytic Leukemia Research 8
- Estrogen and related hormone effects 2
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- PI3K/AKT/mTOR signaling in cancer 3
- Receptor Mechanisms and Signaling 2
- Co-authors
- Peter Hellemans (12 shared papers)Margaret K. Yu (6 shared papers)Peter Ferenci (1 shared paper)Naga Chalasani (1 shared paper)Michael D. Voigt (1 shared paper)Caroline A. Riely (1 shared paper)Paul Martin (1 shared paper)Robert J. Fontana (1 shared paper)
- Journals
- Cancer Chemotherapy and Pharmacology (4 papers)Clinical Pharmacokinetics (2 papers)Blood (2 papers)The Journal of Clinical Pharmacology (2 papers)Hepatology (1 paper)
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
James Jiao
18 papers receiving 615 citations
Peers
Comparison fields: 5 of 61
- Hepatology 185
- Genetics 95
- Pharmacology 49
- Endocrinology, Diabetes and Metabolism 75
- Epidemiology 150
Countries citing papers authored by James Jiao
This map shows the geographic impact of James Jiao'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 James Jiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Jiao more than expected).
Fields of papers citing papers by James Jiao
This network shows the impact of papers produced by James Jiao. 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 James Jiao. The network helps show where James Jiao may publish in the future.
Co-authors
The 25 scholars most cited alongside James Jiao, 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 | 2005 | 194 | |
| 2 | 2015 | 83 | |
| 3 | 2014 | 63 | |
| 4 | 2015 | 60 | |
| 5 | 2020 | 42 | |
| 6 | 2018 | 34 | |
| 7 | 2014 | 29 | |
| 8 | 2013 | 23 | |
| 9 | 2017 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 17 | |
| 12 | 2019 | 17 | |
| 13 | 2014 | 15 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2016 | 1 |
About James Jiao
James Jiao is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 636 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Prostate Cancer Treatment and Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Estrogen and related hormone effects (2 papers), Receptor Mechanisms and Signaling (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hepatology (185 citations), Genetics (95 citations), Pharmacology (49 citations), Endocrinology, Diabetes and Metabolism (75 citations) and Epidemiology (150 citations). James Jiao has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Peter Hellemans, Margaret K. Yu, Peter Ferenci, Naga Chalasani, Michael D. Voigt, Caroline A. Riely, Paul Martin, Robert J. Fontana, Lewis Teperman and Juan Carlos López-Talavera. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Clinical Pharmacokinetics, Blood, The Journal of Clinical Pharmacology 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.