James Jiao
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Genetics 8
- Chronic Lymphocytic Leukemia Research 8
- Estrogen and related hormone effects 3
- Co-authors
- Peter Hellemans (12 shared papers)Margaret K. Yu (6 shared papers)Naga Chalasani (1 shared paper)Caly Chien (6 shared papers)Cosme Manzarbeitia (1 shared paper)Michael D. Voigt (1 shared paper)Lewis Teperman (1 shared paper)Juan Carlos López-Talavera (1 shared paper)
- Journals
- Cancer Chemotherapy and Pharmacology (4 papers)The Journal of Clinical Pharmacology (2 papers)Clinical Pharmacokinetics (2 papers)Blood (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
James Jiao
18 papers receiving 603 citations
Peers
Comparison fields: 5 of 63
- Hepatology 197
- Genetics 100
- Endocrinology, Diabetes and Metabolism 115
- Pharmacology 60
- Epidemiology 193
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 | 195 | |
| 2 | 2015 | 82 | |
| 3 | 2014 | 60 | |
| 4 | 2015 | 58 | |
| 5 | 2020 | 42 | |
| 6 | 2018 | 33 | |
| 7 | 2014 | 29 | |
| 8 | 2013 | 23 | |
| 9 | 2017 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2020 | 1 |
About James Jiao
James Jiao is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 628 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (6 papers), Hormonal and reproductive studies (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Estrogen and related hormone effects (3 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Hepatology (197 citations), Genetics (100 citations), Endocrinology, Diabetes and Metabolism (115 citations), Pharmacology (60 citations) and Epidemiology (193 citations). James Jiao has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Peter Hellemans, Margaret K. Yu, Naga Chalasani, Caly Chien, Cosme Manzarbeitia, Michael D. Voigt, Lewis Teperman, Juan Carlos López-Talavera, Peter Ferenci and Robert J. Fontana. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, The Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Blood and The Journal of Clinical Endocrinology & Metabolism.
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.