Joy X. Jiang
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 10
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- Liver physiology and pathology 7
- Liver Disease and Transplantation 3
- Co-authors
- Natalie J. Török (22 shared papers)Mark Α. Zern (4 shared papers)Senthil Kumar Venugopal (3 shared papers)Xiangling Chen (6 shared papers)Sridevi Devaraj (5 shared papers)Nobuko Serizawa (5 shared papers)Scott L. Friedman (2 shared papers)Charles H. Halsted (2 shared papers)
- Journals
- Hepatology (4 papers)Journal of Biological Chemistry (3 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (3 papers)Gastroenterology (2 papers)Laboratory Investigation (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Joy X. Jiang
30 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Hepatology 593
- Epidemiology 692
- Cancer Research 210
- Immunology 303
- Physiology 61
Countries citing papers authored by Joy X. Jiang
This map shows the geographic impact of Joy X. Jiang'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 Joy X. Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy X. Jiang more than expected).
Fields of papers citing papers by Joy X. Jiang
This network shows the impact of papers produced by Joy X. Jiang. 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 Joy X. Jiang. The network helps show where Joy X. Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy X. Jiang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 236 | |
| 2 | 2012 | 211 | |
| 3 | 2009 | 179 | |
| 4 | 2015 | 133 | |
| 5 | 2009 | 128 | |
| 6 | 2010 | 100 | |
| 7 | 2012 | 79 | |
| 8 | 2011 | 74 | |
| 9 | 2016 | 71 | |
| 10 | 2002 | 69 | |
| 11 | 2014 | 64 | |
| 12 | 2011 | 55 | |
| 13 | 2020 | 48 | |
| 14 | 2013 | 46 | |
| 15 | 2004 | 45 | |
| 16 | 2013 | 42 | |
| 17 | 2003 | 41 | |
| 18 | 2015 | 37 | |
| 19 | 2019 | 36 | |
| 20 | 2004 | 34 |
About Joy X. Jiang
Joy X. Jiang is a scholar working on Epidemiology, Hepatology, Molecular Biology, Surgery and Immunology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Liver physiology and pathology (7 papers), Galectins and Cancer Biology (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Adenosine and Purinergic Signaling (3 papers), Liver Disease and Transplantation (3 papers), Macrophage Migration Inhibitory Factor (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Hepatology (593 citations), Epidemiology (692 citations), Cancer Research (210 citations), Immunology (303 citations) and Physiology (61 citations). Joy X. Jiang has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Natalie J. Török, Mark Α. Zern, Senthil Kumar Venugopal, Xiangling Chen, Sridevi Devaraj, Nobuko Serizawa, Scott L. Friedman, Charles H. Halsted, Yong Li and Shanshan Zhan. Their work appears in journals such as Hepatology, Journal of Biological Chemistry, American Journal of Physiology-Gastrointestinal and Liver Physiology, Gastroenterology and Laboratory Investigation.
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.