Jack Shi
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Oncology 6
- Cytokine Signaling Pathways and Interactions 3
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- Tryptophan and brain disorders 5
- 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)Thomas Emm (4 shared papers)Yvonne Lo (4 shared papers)Robert Newton (4 shared papers)
- Journals
- The Journal of Clinical Pharmacology (7 papers)Journal of the American Academy of Dermatology (1 paper)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)British Journal of Dermatology (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Jack Shi
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 181
- Genetics 228
- Immunology 396
- Dermatology 163
- Hematology 203
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 | 240 | |
| 2 | 2014 | 164 | |
| 3 | 2012 | 148 | |
| 4 | 2011 | 123 | |
| 5 | 2011 | 88 | |
| 6 | 2011 | 86 | |
| 7 | 2017 | 78 | |
| 8 | 2015 | 53 | |
| 9 | 2013 | 34 | |
| 10 | 2013 | 27 | |
| 11 | 2010 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2016 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Jack Shi
Jack Shi is a scholar working on Oncology, Biological Psychiatry, Genetics, Hematology and Dermatology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Dermatology and Skin Diseases (3 papers), Bipolar Disorder and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Biological Psychiatry (181 citations), Genetics (228 citations), Immunology (396 citations), Dermatology (163 citations) and Hematology (203 citations). Jack Shi has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Peggy Scherle, Swamy Yeleswaram, Naresh Punwani, William V. Williams, Xuejun Chen, Thomas Emm, Yvonne Lo, Robert Newton, Janet Maleski and Lance Leopold. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of the American Academy of Dermatology, Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Dermatology.
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.