Mingwei Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Renin-Angiotensin System Studies
- Cardiac electrophysiology and arrhythmias
Papers in
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- Circular RNAs in diseases 4
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 2
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- Acute Myeloid Leukemia Research 3
- Autoimmune and Inflammatory Disorders Research 2
- Co-authors
- Markus J. Wilhelm (3 shared papers)Klaus Lindpaintner (3 shared papers)Jipeng Li (4 shared papers)Detlev Ganten (2 shared papers)N. Niedermaier (1 shared paper)Shanfeng Li (3 shared papers)Wanjun Yu (3 shared papers)Jian‐Hua Wang (2 shared papers)
In The Last Decade
Mingwei Jin
22 papers receiving 604 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 188
- Cardiology and Cardiovascular Medicine 191
- Molecular Biology 304
- Endocrinology, Diabetes and Metabolism 67
- Geriatrics and Gerontology 9
Countries citing papers authored by Mingwei Jin
This map shows the geographic impact of Mingwei Jin'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 Mingwei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Jin more than expected).
Fields of papers citing papers by Mingwei Jin
This network shows the impact of papers produced by Mingwei Jin. 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 Mingwei Jin. The network helps show where Mingwei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei Jin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 130 | |
| 2 | LncRNA MALAT1 exerts oncogenic functions in lung adenocarcinoma by targeting miR-204. | 2016 | 109 |
| 3 | Intracardiac generation of angiotensin and its physiologic role. | 1988 | 95 |
| 4 | 2016 | 44 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 39 | |
| 7 | 2012 | 34 | |
| 8 | 2022 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 1989 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2008 | 4 | |
| 20 | 2019 | 2 |
About Mingwei Jin
Mingwei Jin is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Oncology, having authored 23 papers that have together received 615 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), Acute Myeloid Leukemia Research (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), RNA Research and Splicing (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Cancer Research (188 citations), Cardiology and Cardiovascular Medicine (191 citations), Molecular Biology (304 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Geriatrics and Gerontology (9 citations). Mingwei Jin has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Markus J. Wilhelm, Klaus Lindpaintner, Jipeng Li, Detlev Ganten, N. Niedermaier, Shanfeng Li, Wanjun Yu, Jian‐Hua Wang, Qi An and Huaying Wang. Their work appears in journals such as British Journal of Clinical Pharmacology, Bone Marrow Transplantation, Diabetologia, Medicine and Pulmonology.
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.