Min Pan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Molecular Biology Techniques and Applications 6
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 4
- Renal and related cancers 3
-
- Cancer-related molecular mechanisms research 7
- Cancer Genomics and Diagnostics 5
- MicroRNA in disease regulation 3
- Co-authors
- Qinyu Ge (26 shared papers)Huizhong Gan (1 shared paper)Yu‐Lin Song (1 shared paper)Erteng Jia (13 shared papers)Jianming Xu (1 shared paper)Yunfei Bai (12 shared papers)Huajuan Shi (14 shared papers)Zhiyu Liu (13 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Human Mutation (2 papers)Biochemical and Biophysical Research Communications (2 papers)Analytica Chimica Acta (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Min Pan
36 papers receiving 608 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 149
- Endocrine and Autonomic Systems 65
- Molecular Biology 280
- Endocrinology, Diabetes and Metabolism 55
- Physiology 65
Countries citing papers authored by Min Pan
This map shows the geographic impact of Min Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Pan more than expected).
Fields of papers citing papers by Min Pan
This network shows the impact of papers produced by Min Pan. 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 Pan. The network helps show where Min Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Pan, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2021 | 58 | |
| 3 | 2023 | 56 | |
| 4 | 2020 | 53 | |
| 5 | 2019 | 43 | |
| 6 | 2023 | 27 | |
| 7 | 2010 | 23 | |
| 8 | 2024 | 21 | |
| 9 | 2015 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2011 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2017 | 6 |
About Min Pan
Min Pan is a scholar working on Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 616 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Molecular Biology Techniques and Applications (6 papers), Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (4 papers), RNA Research and Splicing (4 papers), Renal and related cancers (3 papers), Prenatal Screening and Diagnostics (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (149 citations), Endocrine and Autonomic Systems (65 citations), Molecular Biology (280 citations), Endocrinology, Diabetes and Metabolism (55 citations) and Physiology (65 citations). Min Pan has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Qinyu Ge, Huizhong Gan, Yu‐Lin Song, Erteng Jia, Jianming Xu, Yunfei Bai, Huajuan Shi, Zhiyu Liu, Ying Zhou and Xiangwei Zhao. Their work appears in journals such as International Journal of Molecular Sciences, Human Mutation, Biochemical and Biophysical Research Communications, Analytica Chimica Acta and Gene.
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.