Mei Ming
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Metal-Organic Frameworks: Synthesis and Applications 8
- Genetics 6
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Yu‐Ying He (13 shared papers)Weinong Han (7 shared papers)Lei Qiang (6 shared papers)Baozhong Zhao (6 shared papers)Chunli Wu (3 shared papers)Benoı̂t Viollet (2 shared papers)Keyoumars Soltani (3 shared papers)Christopher R. Shea (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Solid State Chemistry (3 papers)Journal of Investigative Dermatology (2 papers)Blood (2 papers)Blood Advances (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Mei Ming
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Geriatrics and Gerontology 196
- Genetics 211
- Dermatology 139
- Pathology and Forensic Medicine 221
- Physiology 44
Countries citing papers authored by Mei Ming
This map shows the geographic impact of Mei Ming'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 Mei Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Ming more than expected).
Fields of papers citing papers by Mei Ming
This network shows the impact of papers produced by Mei Ming. 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 Mei Ming. The network helps show where Mei Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Ming, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 126 | |
| 2 | 2017 | 115 | |
| 3 | 2014 | 97 | |
| 4 | 2012 | 94 | |
| 5 | 2012 | 89 | |
| 6 | 2016 | 77 | |
| 7 | 2009 | 56 | |
| 8 | 2011 | 54 | |
| 9 | 2014 | 51 | |
| 10 | 2014 | 47 | |
| 11 | 2018 | 43 | |
| 12 | 2014 | 41 | |
| 13 | 2012 | 34 | |
| 14 | 2012 | 33 | |
| 15 | 2010 | 31 | |
| 16 | 2014 | 30 | |
| 17 | 2021 | 14 | |
| 18 | 2011 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2018 | 11 |
About Mei Ming
Mei Ming is a scholar working on Inorganic Chemistry, Genetics, Geriatrics and Gerontology, Oncology and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Covalent Organic Framework Applications (4 papers), Cancer-related Molecular Pathways (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Geriatrics and Gerontology (196 citations), Genetics (211 citations), Dermatology (139 citations), Pathology and Forensic Medicine (221 citations) and Physiology (44 citations). Mei Ming has collaborated with scholars based in United States, China and France. Frequent co-authors include Yu‐Ying He, Weinong Han, Lei Qiang, Baozhong Zhao, Chunli Wu, Benoı̂t Viollet, Keyoumars Soltani, Christopher R. Shea, Xiaoling Li and Xiumei Guo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Solid State Chemistry, Journal of Investigative Dermatology, Blood and Blood Advances.
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.