Ming Yan
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 1%
- interferon and immune responses
Papers in
-
- RNA modifications and cancer 17
- Protein Degradation and Inhibitors 11
- RNA Research and Splicing 10
- Immunology 43
- interferon and immune responses 19
- Immunotherapy and Immune Responses 13
- Co-authors
- Dong‐Er Zhang (51 shared papers)Qin Xu (18 shared papers)Jianjun Zhang (19 shared papers)Wantao Chen (24 shared papers)Luke F. Peterson (10 shared papers)Xing Qin (12 shared papers)Keun Il Kim (5 shared papers)Wantao Chen (14 shared papers)
- Journals
- Blood (21 papers)The Journal of Immunology (6 papers)BMC Cancer (5 papers)Oral Oncology (4 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Yan
166 papers receiving 6.4k citations
Ming Yan's Hit Papers
Peers
Comparison fields: 5 of 129
- Cancer Research 1.4k
- Immunology 1.7k
- Hematology 784
- Molecular Biology 3.5k
- Oncology 1.2k
Countries citing papers authored by Ming Yan
This map shows the geographic impact of Ming Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).
Fields of papers citing papers by Ming Yan
This network shows the impact of papers produced by Ming Yan. 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 Yan. The network helps show where Ming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yan, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exosomal miR-196a derived from cancer-associated fibroblasts confers cisplatin resistance in head and neck cancer through targeting CDKN1B and ING5 Hit paper breakdown → | 2019 | 350 |
| 2 | 2003 | 267 | |
| 3 | 2004 | 232 | |
| 4 | 2006 | 209 | |
| 5 | 2006 | 186 | |
| 6 | 2018 | 148 | |
| 7 | 2013 | 147 | |
| 8 | 2015 | 146 | |
| 9 | 2017 | 143 | |
| 10 | 2009 | 143 | |
| 11 | 2019 | 128 | |
| 12 | 2010 | 120 | |
| 13 | 2010 | 113 | |
| 14 | 2005 | 109 | |
| 15 | 2013 | 107 | |
| 16 | 2013 | 98 | |
| 17 | 2004 | 98 | |
| 18 | 2012 | 97 | |
| 19 | 2016 | 95 | |
| 20 | 2015 | 90 |
About Ming Yan
Ming Yan is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Hematology, having authored 169 papers that have together received 6.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), interferon and immune responses (19 papers), RNA modifications and cancer (17 papers), Cytokine Signaling Pathways and Interactions (15 papers), Immunotherapy and Immune Responses (13 papers), Cancer-related molecular mechanisms research (11 papers), Protein Degradation and Inhibitors (11 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Immunology (1.7k citations), Hematology (784 citations), Molecular Biology (3.5k citations) and Oncology (1.2k citations). Ming Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dong‐Er Zhang, Qin Xu, Jianjun Zhang, Wantao Chen, Luke F. Peterson, Xing Qin, Keun Il Kim, Wantao Chen, Kenneth J. Ritchie and Oxana A. Malakhova. Their work appears in journals such as Blood, The Journal of Immunology, BMC Cancer, Oral Oncology and Scientific Reports.
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.