Ming Wei
Impact in
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- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Antibiotic Resistance in Bacteria 4
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- Bacterial Identification and Susceptibility Testing 3
- Co-authors
- Michael I. LermanFarida LatifJohn D. MinnaYoshitaka SekidoF M DuhS. BaderJoseph AlbanesiJake Y. Chen
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)Genomics (2 papers)Medicine (1 paper)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (1 paper)Annals of Translational Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Wei
21 papers receiving 781 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 258
- Cancer Research 179
- Molecular Biology 579
- Obstetrics and Gynecology 62
- Developmental Neuroscience 21
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming Wei. 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 Wei. The network helps show where Ming Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Wei, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 1 | |
| 11 | 2017 | 59 | |
| 12 | 2006 | 33 | |
| 13 | 2000 | 3 | |
| 14 | 2000 | 142 | |
| 15 | 1999 | 11 | |
| 16 | 1996 | 107 | |
| 17 | 1996 | 216 | |
| 18 | Construction of a 600-kilobase cosmid clone contig and generation of a transcriptional map surrounding the lung cancer tumor suppressor gene (TSG) locus on human chromosome 3p21.3: progress toward the isolation of a lung cancer TSG. | 1996 | 133 |
| 19 | 1992 | 34 | |
| 20 | 1991 | 1 |
About Ming Wei
Ming Wei is a scholar working on Molecular Medicine, Clinical Biochemistry, Family Practice, Obstetrics and Gynecology and Geriatrics and Gerontology, having authored 22 papers that have together received 792 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Birth, Development, and Health (3 papers), Adipose Tissue and Metabolism (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Pregnancy and preeclampsia studies (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (258 citations), Cancer Research (179 citations), Molecular Biology (579 citations), Obstetrics and Gynecology (62 citations) and Developmental Neuroscience (21 citations). Ming Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael I. Lerman, Farida Latif, John D. Minna, Yoshitaka Sekido, F M Duh, S. Bader, Joseph Albanesi, Jake Y. Chen, Berton Zbar and Igor Kuzmin. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Genomics, Medicine, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and Annals of Translational Medicine.
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.