Min Sun
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Otorhinolaryngology top 5%
Papers in
-
- RNA modifications and cancer 6
- Metabolomics and Mass Spectrometry Studies 3
-
- Cancer-related molecular mechanisms research 10
- Cancer, Hypoxia, and Metabolism 6
- Cancer Genomics and Diagnostics 4
- Co-authors
- John H. Healey (1 shared paper)Andrew G. Huvos (1 shared paper)Michael P. LaQuaglia (1 shared paper)Glenn Heller (1 shared paper)Paul A. Meyers (1 shared paper)Yuanqing Yao (4 shared papers)Shufang Wang (2 shared papers)Ling Yu (2 shared papers)
- Journals
- Oncotarget (6 papers)Medicine (5 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Min Sun
110 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 479
- Otorhinolaryngology 74
- Pulmonary and Respiratory Medicine 429
- Health, Toxicology and Mutagenesis 176
- Molecular Biology 724
Countries citing papers authored by Min Sun
This map shows the geographic impact of Min Sun'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 Min Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Sun more than expected).
Fields of papers citing papers by Min Sun
This network shows the impact of papers produced by Min Sun. 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 Min Sun. The network helps show where Min Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Sun, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 337 | |
| 2 | 2013 | 154 | |
| 3 | 2018 | 148 | |
| 4 | 2013 | 139 | |
| 5 | 2017 | 112 | |
| 6 | 2010 | 79 | |
| 7 | 2020 | 58 | |
| 8 | 2013 | 46 | |
| 9 | 2010 | 43 | |
| 10 | 2015 | 43 | |
| 11 | 2018 | 41 | |
| 12 | 2015 | 40 | |
| 13 | 2014 | 39 | |
| 14 | 2020 | 35 | |
| 15 | 2021 | 33 | |
| 16 | 2022 | 31 | |
| 17 | 2012 | 29 | |
| 18 | 2017 | 29 | |
| 19 | 2020 | 28 | |
| 20 | 2017 | 28 |
About Min Sun
Min Sun is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 113 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cervical Cancer and HPV Research (4 papers), Cancer Genomics and Diagnostics (4 papers), Hepatitis B Virus Studies (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Cancer Research (479 citations), Otorhinolaryngology (74 citations), Pulmonary and Respiratory Medicine (429 citations), Health, Toxicology and Mutagenesis (176 citations) and Molecular Biology (724 citations). Min Sun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include John H. Healey, Andrew G. Huvos, Michael P. LaQuaglia, Glenn Heller, Paul A. Meyers, Yuanqing Yao, Shufang Wang, Ling Yu, Heng Fan and Jian‐Hua Zhu. Their work appears in journals such as Oncotarget, Medicine, Scientific Reports, PLoS ONE 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.