Jack Shi
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Tryptophan and brain disorders 5
- Oncology 5
- Drug Transport and Resistance Mechanisms 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Peggy Scherle (8 shared papers)Swamy Yeleswaram (11 shared papers)Naresh Punwani (7 shared papers)William V. Williams (7 shared papers)Xuejun Chen (5 shared papers)Yvonne Lo (4 shared papers)Thomas Emm (4 shared papers)Robert Newton (4 shared papers)
- Journals
- The Journal of Clinical Pharmacology (7 papers)Journal of Investigative Dermatology (1 paper)Drug Metabolism and Disposition (1 paper)Clinical Cancer Research (1 paper)Cardiovascular Diabetology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jack Shi
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Biological Psychiatry 190
- Genetics 216
- Immunology 360
- Dermatology 134
- Hematology 169
Countries citing papers authored by Jack Shi
This map shows the geographic impact of Jack Shi'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 Jack Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Shi more than expected).
Fields of papers citing papers by Jack Shi
This network shows the impact of papers produced by Jack Shi. 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 Jack Shi. The network helps show where Jack Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Shi, 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 | 2017 | 249 | |
| 2 | 2014 | 170 | |
| 3 | 2012 | 154 | |
| 4 | 2011 | 127 | |
| 5 | 2011 | 93 | |
| 6 | 2011 | 90 | |
| 7 | 2017 | 81 | |
| 8 | 2015 | 56 | |
| 9 | 2013 | 35 | |
| 10 | 2013 | 27 | |
| 11 | 2010 | 23 | |
| 12 | 2018 | 19 | |
| 13 | 2016 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 |
About Jack Shi
Jack Shi is a scholar working on Biological Psychiatry, Oncology, Genetics, Hematology and Pharmacology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Bipolar Disorder and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Biological Psychiatry (190 citations), Genetics (216 citations), Immunology (360 citations), Dermatology (134 citations) and Hematology (169 citations). Jack Shi has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Peggy Scherle, Swamy Yeleswaram, Naresh Punwani, William V. Williams, Xuejun Chen, Yvonne Lo, Thomas Emm, Robert Newton, Janet Maleski and Lance Leopold. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Investigative Dermatology, Drug Metabolism and Disposition, Clinical Cancer Research and Cardiovascular Diabetology.
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.