Michael Shi
Impact in
- Biochemistry top 2%
- Sulfur Compounds in Biology
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in ⓘ
-
- Fibroblast Growth Factor Research 10
- Kruppel-like factors research 4
- Redox biology and oxidative stress 3
- Oncology 19
- Lung Cancer Research Studies 5
- Co-authors
- Henry Jay Forman (4 shared papers)Takeo Iwamoto (2 shared papers)Amir Kugelman (2 shared papers)Li Tian (1 shared paper)Peter A. Ward (5 shared papers)Ren-Feng Guo (4 shared papers)Andrea Kay (3 shared papers)Run Liu (1 shared paper)
- Journals
- Journal of Clinical Oncology (8 papers)Cancer Research (6 papers)Clinical Cancer Research (5 papers)Blood (3 papers)Cancer Immunology Immunotherapy (3 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Michael Shi
60 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 132
- Biochemistry 246
- Cancer Research 389
- Molecular Biology 1.5k
- Oncology 475
- Immunology 296
Countries citing papers authored by Michael Shi
This map shows the geographic impact of Michael 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 Michael Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Shi more than expected).
Fields of papers citing papers by Michael Shi
This network shows the impact of papers produced by Michael 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 Michael Shi. The network helps show where Michael Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 286 | |
| 2 | 2013 | 251 | |
| 3 | 2001 | 214 | |
| 4 | 1994 | 142 | |
| 5 | 2001 | 127 | |
| 6 | 2000 | 124 | |
| 7 | 2011 | 115 | |
| 8 | 2013 | 103 | |
| 9 | 2011 | 100 | |
| 10 | 2018 | 88 | |
| 11 | 2017 | 87 | |
| 12 | 2014 | 82 | |
| 13 | 1994 | 81 | |
| 14 | 2003 | 80 | |
| 15 | 2004 | 80 | |
| 16 | 1999 | 71 | |
| 17 | 2013 | 68 | |
| 18 | 2007 | 54 | |
| 19 | 2014 | 49 | |
| 20 | 1992 | 47 |
About Michael Shi
Michael Shi is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (7 papers), Renal cell carcinoma treatment (6 papers), Lung Cancer Research Studies (5 papers), Kruppel-like factors research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Redox biology and oxidative stress (3 papers). The work is most often cited by research in Biochemistry (246 citations), Cancer Research (389 citations), Molecular Biology (1.5k citations), Oncology (475 citations) and Immunology (296 citations). Michael Shi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Henry Jay Forman, Takeo Iwamoto, Amir Kugelman, Li Tian, Peter A. Ward, Ren-Feng Guo, Andrea Kay, Run Liu, Henry A. Choy and Evelyne Gozal. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Cancer Research, Blood and Cancer Immunology Immunotherapy.
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.