Ming Jin
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Colorectal Cancer Surgical Treatments
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
Papers in
-
- Cancer-related molecular mechanisms research 10
- Oncology 26
- Pancreatic and Hepatic Oncology Research 7
- Lung Cancer Research Studies 7
- Peptidase Inhibition and Analysis 6
- Co-authors
- Wendy L. FrankelHaifeng WuKwang Won JeongJin‐Shui ZhuXiaoyu ChenPaul E. WakelyJoel SaltzWei Chen
- Journals
- Journal of Clinical Laboratory Analysis (5 papers)Aging (3 papers)Scientific Reports (2 papers)Cell Death Discovery (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ming Jin
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 351
- Oncology 452
- Nephrology 74
- Immunology 201
- Molecular Biology 643
Countries citing papers authored by Ming Jin
This map shows the geographic impact of Ming 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 Ming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jin more than expected).
Fields of papers citing papers by Ming Jin
This network shows the impact of papers produced by Ming 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 Ming Jin. The network helps show where Ming Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 47 | |
| 12 | 2018 | 15 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 41 | |
| 15 | 2017 | 63 | |
| 16 | 2017 | 10 | |
| 17 | 2013 | 11 | |
| 18 | 2009 | 66 | |
| 19 | 2005 | 84 | |
| 20 | 2005 | 4 |
About Ming Jin
Ming Jin is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers), Pancreatic and Hepatic Oncology Research (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Ferroptosis and cancer prognosis (7 papers), Lung Cancer Research Studies (7 papers), Peptidase Inhibition and Analysis (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (351 citations), Oncology (452 citations), Nephrology (74 citations), Immunology (201 citations) and Molecular Biology (643 citations). Ming Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wendy L. Frankel, Haifeng Wu, Kwang Won Jeong, Jin‐Shui Zhu, Xiaoyu Chen, Paul E. Wakely, Joel Saltz, Wei Chen, Rui Zhang and Jing Zhang. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Aging, Scientific Reports, Cell Death Discovery and Frontiers in Oncology.
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.