Min Shi
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 36
- Chronic Lymphocytic Leukemia Research 26
- Hematology 38
- Acute Myeloid Leukemia Research 26
- Multiple Myeloma Research and Treatments 9
- Co-authors
- Dragan Jevremović (37 shared papers)Horatiu Olteanu (28 shared papers)Pedro Horna (27 shared papers)Gregory E. Otteson (20 shared papers)Michael Timm (16 shared papers)Rong Lucy He (12 shared papers)David S. Viswanatha (9 shared papers)Dong Chen (10 shared papers)
- Journals
- Blood Cancer Journal (14 papers)Blood (13 papers)American Journal of Clinical Pathology (10 papers)American Journal of Hematology (9 papers)Human Pathology (7 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Min Shi
104 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 54
- Genetics 267
- Pathology and Forensic Medicine 485
- Hematology 338
- Immunology 236
- Dermatology 84
Countries citing papers authored by Min Shi
This map shows the geographic impact of Min 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 Min Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Shi more than expected).
Fields of papers citing papers by Min Shi
This network shows the impact of papers produced by Min 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 Min Shi. The network helps show where Min Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 132 | |
| 2 | 2017 | 67 | |
| 3 | 2018 | 67 | |
| 4 | 2017 | 66 | |
| 5 | 2019 | 61 | |
| 6 | 2020 | 58 | |
| 7 | 2018 | 56 | |
| 8 | 2019 | 51 | |
| 9 | 2017 | 50 | |
| 10 | 2020 | 50 | |
| 11 | 2021 | 44 | |
| 12 | 2024 | 36 | |
| 13 | 2019 | 32 | |
| 14 | 2022 | 32 | |
| 15 | 2020 | 31 | |
| 16 | 2014 | 27 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 27 | |
| 19 | 2013 | 21 | |
| 20 | 2019 | 21 |
About Min Shi
Min Shi is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 116 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (26 papers), Chronic Lymphocytic Leukemia Research (26 papers), Acute Lymphoblastic Leukemia research (13 papers), T-cell and B-cell Immunology (9 papers), Multiple Myeloma Research and Treatments (9 papers), Immune Cell Function and Interaction (6 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Genetics (267 citations), Pathology and Forensic Medicine (485 citations), Hematology (338 citations), Immunology (236 citations) and Dermatology (84 citations). Min Shi has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Dragan Jevremović, Horatiu Olteanu, Pedro Horna, Gregory E. Otteson, Michael Timm, Rong Lucy He, David S. Viswanatha, Dong Chen, Andrew L. Feldman and Rhett P. Ketterling. Their work appears in journals such as Blood Cancer Journal, Blood, American Journal of Clinical Pathology, American Journal of Hematology and Human Pathology.
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.