Ming You
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 5
- Cancer-related Molecular Pathways 4
- Co-authors
- Kun‐Liang GuanYian WangRonald A. LubetGary D. StonerEunjung KimYong LiJoel A. SwansonCun Yu Wang
- Journals
- iScience (2 papers)Gene (2 papers)Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)Experimental Lung Research (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Ming You
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 470
- Molecular Biology 1.0k
- Oncology 339
- Immunology 221
- Genetics 253
Countries citing papers authored by Ming You
This map shows the geographic impact of Ming You'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 You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming You more than expected).
Fields of papers citing papers by Ming You
This network shows the impact of papers produced by Ming You. 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 You. The network helps show where Ming You may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming You, 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 | 2023 | 3 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 9 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 28 | |
| 6 | 2019 | 17 | |
| 7 | 2018 | 73 | |
| 8 | 2014 | 238 | |
| 9 | 2011 | 169 | |
| 10 | 2011 | 298 | |
| 11 | 2007 | 219 | |
| 12 | 2005 | 30 | |
| 13 | 2004 | 10 | |
| 14 | 2003 | 17 | |
| 15 | Fine mapping and identification of candidate pulmonary adenoma susceptibility 1 genes using advanced intercross lines. | 2003 | 36 |
| 16 | 2001 | 31 | |
| 17 | 1997 | 10 | |
| 18 | 1996 | 3 | |
| 19 | 1993 | 10 | |
| 20 | 1991 | 15 |
About Ming You
Ming You is a scholar working on Oncology, Cancer Research, Molecular Biology, Biotechnology and Immunology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related Molecular Pathways (4 papers), RNA and protein synthesis mechanisms (4 papers), DNA Repair Mechanisms (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (470 citations), Molecular Biology (1.0k citations), Oncology (339 citations), Immunology (221 citations) and Genetics (253 citations). Ming You has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Kun‐Liang Guan, Yian Wang, Ronald A. Lubet, Gary D. Stoner, Yian Wang, Eunjung Kim, Yong Li, Joel A. Swanson, Cun Yu Wang and Peter Beemiller. Their work appears in journals such as iScience, Gene, Scientific Reports, Journal of Biological Chemistry and Experimental Lung Research.
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.