Ming Sheng
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Tryptophan and brain disorders
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
-
- Artificial Intelligence in Healthcare 3
- Co-authors
- Rebecca C. TaylorCecilia CastroJulian L. GriffinYong ZhangRui ZhouRamanujan S. HegdeGeoffrey M. NelsonChangchun Chen
- Journals
- Health Information Science and Systems (3 papers)Information Processing & Management (2 papers)Cell Reports (1 paper)Nature (1 paper)Developmental Cell (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Ming Sheng
16 papers receiving 368 citations
Peers
Comparison fields: 5 of 104
- Aging 105
- Biological Psychiatry 28
- Health Information Management 27
- Endocrine and Autonomic Systems 36
- Cell Biology 62
Countries citing papers authored by Ming Sheng
This map shows the geographic impact of Ming Sheng'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 Ming Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Sheng more than expected).
Fields of papers citing papers by Ming Sheng
This network shows the impact of papers produced by Ming Sheng. 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 Ming Sheng. The network helps show where Ming Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Sheng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 16 | |
| 7 | [Bioinformatics-based identification of the key genes associated with prostate cancer]. | 2021 | 3 |
| 8 | 2021 | 0 | |
| 9 | 2020 | 34 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 56 | |
| 12 | 2019 | 79 | |
| 13 | 2017 | 92 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 11 | |
| 17 | 2015 | 18 | |
| 18 | 2015 | 18 | |
| 19 | [Proliferation inhibition of human lung adenocarcinoma cell line A549 transfected by RASSF1A gene]. | 2005 | 1 |
| 20 | [Inhibition of angiogenesis properties by SZ-21]. | 2003 | 2 |
About Ming Sheng
Ming Sheng is a scholar working on Aging, Health Information Management, Endocrine and Autonomic Systems, Physiology and Cell Biology, having authored 20 papers that have together received 374 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Circadian rhythm and melatonin (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Artificial Intelligence in Healthcare (3 papers), Data Quality and Management (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Aging (105 citations), Biological Psychiatry (28 citations), Health Information Management (27 citations), Endocrine and Autonomic Systems (36 citations) and Cell Biology (62 citations). Ming Sheng has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Rebecca C. Taylor, Cecilia Castro, Julian L. Griffin, Yong Zhang, Rui Zhou, Ramanujan S. Hegde, Geoffrey M. Nelson, Changchun Chen, Rebecca A. Butcher and Eisuke Itakura. Their work appears in journals such as Health Information Science and Systems, Information Processing & Management, Cell Reports, Nature and Developmental Cell.
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.