Leming Shi
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Gene expression and cancer classification 13
- Bioinformatics and Genomic Networks 11
- RNA modifications and cancer 8
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- Cancer Genomics and Diagnostics 10
- Cancer-related molecular mechanisms research 8
- Co-authors
- Weida Tong (25 shared papers)Lei Guo (9 shared papers)Roger Perkins (12 shared papers)Baitang Ning (15 shared papers)William S. Branham (6 shared papers)Tao Qing (8 shared papers)Ying Yu (15 shared papers)Hong Fang (7 shared papers)
- Journals
- PLoS ONE (5 papers)Nature Communications (5 papers)BMC Bioinformatics (5 papers)Scientific Reports (5 papers)Science China Life Sciences (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Leming Shi
95 papers receiving 3.9k citations
Leming Shi's Hit Papers
Peers
Comparison fields: 5 of 160
- Computational Theory and Mathematics 704
- Cancer Research 558
- Pharmacology 277
- Molecular Biology 1.8k
- Oncology 504
Countries citing papers authored by Leming Shi
This map shows the geographic impact of Leming 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 Leming Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leming Shi more than expected).
Fields of papers citing papers by Leming Shi
This network shows the impact of papers produced by Leming 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 Leming Shi. The network helps show where Leming Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Leming 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 304 | |
| 2 | 2010 | 280 | |
| 3 | 2019 | 270 | |
| 4 | 2012 | 224 | |
| 5 | 2019 | 214 | |
| 6 | 2011 | 169 | |
| 7 | 1997 | 117 | |
| 8 | 2011 | 117 | |
| 9 | 2002 | 107 | |
| 10 | 2010 | 83 | |
| 11 | 1998 | 83 | |
| 12 | Atlas of the plasma proteome in health and disease in 53,026 adults Hit paper breakdown → | 2024 | 81 |
| 13 | 1999 | 75 | |
| 14 | 2014 | 68 | |
| 15 | 1998 | 66 | |
| 16 | 2015 | 66 | |
| 17 | 2011 | 64 | |
| 18 | 2023 | 62 | |
| 19 | 2006 | 60 | |
| 20 | 2004 | 56 |
About Leming Shi
Leming Shi is a scholar working on Molecular Biology, Cancer Research, Genetics, Computational Theory and Mathematics and Oncology, having authored 99 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (11 papers), Cancer Genomics and Diagnostics (10 papers), Cancer-related molecular mechanisms research (8 papers), Genomics and Rare Diseases (8 papers), RNA modifications and cancer (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Computational Theory and Mathematics (704 citations), Cancer Research (558 citations), Pharmacology (277 citations), Molecular Biology (1.8k citations) and Oncology (504 citations). Leming Shi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weida Tong, Lei Guo, Roger Perkins, Baitang Ning, William S. Branham, Tao Qing, Ying Yu, Hong Fang, Huixiao Hong and Jiekun Xuan. Their work appears in journals such as PLoS ONE, Nature Communications, BMC Bioinformatics, Scientific Reports and Science China Life Sciences.
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.