Mingxi Tang
Impact in
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
- Phytochemicals and Antioxidant Activities
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Circular RNAs in diseases 3
- Ion channel regulation and function 3
- Oncology 7
- HER2/EGFR in Cancer Research 2
- Co-authors
- Tomoyuki Shirai (12 shared papers)Satoru Takahashi (9 shared papers)Kumiko Ogawa (7 shared papers)Makoto Asamoto (8 shared papers)Azman Seeni (5 shared papers)Shinya Sato (4 shared papers)Shugo Suzuki (5 shared papers)Satoshi Sugiura (2 shared papers)
- Journals
- Cancer Science (4 papers)The Prostate (3 papers)Pathology International (2 papers)Cancer Letters (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Mingxi Tang
30 papers receiving 608 citations
Peers
Comparison fields: 5 of 87
- Biochemistry 87
- Geriatrics and Gerontology 37
- Applied Microbiology and Biotechnology 18
- Cancer Research 106
- Nutrition and Dietetics 79
Countries citing papers authored by Mingxi Tang
This map shows the geographic impact of Mingxi Tang'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 Mingxi Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxi Tang more than expected).
Fields of papers citing papers by Mingxi Tang
This network shows the impact of papers produced by Mingxi Tang. 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 Mingxi Tang. The network helps show where Mingxi Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxi Tang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 77 | |
| 2 | Suppression of prostate cancer growth by resveratrol in the transgenic rat for adenocarcinoma of prostate (TRAP) model. | 2009 | 74 |
| 3 | 2019 | 70 | |
| 4 | 2014 | 61 | |
| 5 | 2009 | 50 | |
| 6 | 2012 | 47 | |
| 7 | 2012 | 31 | |
| 8 | 2009 | 24 | |
| 9 | 2005 | 21 | |
| 10 | HLJ1 is a novel biomarker for colorectal carcinoma progression and overall patient survival. | 2014 | 19 |
| 11 | 2023 | 17 | |
| 12 | 2019 | 14 | |
| 13 | 2005 | 14 | |
| 14 | 2006 | 14 | |
| 15 | 2021 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2007 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 8 |
About Mingxi Tang
Mingxi Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Genetics, having authored 34 papers that have together received 623 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Prostate Cancer Treatment and Research (3 papers), MicroRNA in disease regulation (3 papers), Autism Spectrum Disorder Research (3 papers), Ion channel regulation and function (3 papers), HER2/EGFR in Cancer Research (2 papers), Renin-Angiotensin System Studies (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Biochemistry (87 citations), Geriatrics and Gerontology (37 citations), Applied Microbiology and Biotechnology (18 citations), Cancer Research (106 citations) and Nutrition and Dietetics (79 citations). Mingxi Tang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tomoyuki Shirai, Satoru Takahashi, Kumiko Ogawa, Makoto Asamoto, Azman Seeni, Shinya Sato, Shugo Suzuki, Satoshi Sugiura, Aya Naiki‐Ito and Teera Chewonarin. Their work appears in journals such as Cancer Science, The Prostate, Pathology International, Cancer Letters and Journal of Biological Chemistry.
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.