Min Chu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Genomics and Phylogenetic Studies 28
- RNA Research and Splicing 12
- RNA modifications and cancer 12
- Genetics 57
- Genetic and phenotypic traits in livestock 26
- Genetic diversity and population structure 16
- Co-authors
- Ping Yan (103 shared papers)Chunnian Liang (93 shared papers)Xian Guo (106 shared papers)Pengjia Bao (96 shared papers)Xiaoyun Wu (65 shared papers)Jie Pei (62 shared papers)Xuezhi Ding (48 shared papers)Lin Xiong (31 shared papers)
In The Last Decade
Min Chu
150 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 251
- Genetics 416
- Animal Science and Zoology 143
- Agronomy and Crop Science 92
- Urology 48
Countries citing papers authored by Min Chu
This map shows the geographic impact of Min Chu'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 Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Chu more than expected).
Fields of papers citing papers by Min Chu
This network shows the impact of papers produced by Min Chu. 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 Chu. The network helps show where Min Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Chu, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2019 | 64 | |
| 3 | 2004 | 63 | |
| 4 | 2021 | 54 | |
| 5 | 1993 | 53 | |
| 6 | 2017 | 51 | |
| 7 | 2016 | 51 | |
| 8 | 1995 | 42 | |
| 9 | 2011 | 36 | |
| 10 | 2021 | 34 | |
| 11 | 2020 | 27 | |
| 12 | 2023 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2020 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2019 | 22 | |
| 18 | 2024 | 20 | |
| 19 | 2018 | 17 | |
| 20 | 2016 | 17 |
About Min Chu
Min Chu is a scholar working on Molecular Biology, Genetics, Cancer Research, Reproductive Medicine and Immunology, having authored 158 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (33 papers), Genomics and Phylogenetic Studies (28 papers), Genetic and phenotypic traits in livestock (26 papers), Genetic diversity and population structure (16 papers), MicroRNA in disease regulation (14 papers), Sperm and Testicular Function (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Cancer Research (251 citations), Genetics (416 citations), Animal Science and Zoology (143 citations), Agronomy and Crop Science (92 citations) and Urology (48 citations). Min Chu has collaborated with scholars based in China, Ethiopia and Pakistan. Frequent co-authors include Ping Yan, Chunnian Liang, Xian Guo, Pengjia Bao, Xiaoyun Wu, Jie Pei, Xuezhi Ding, Lin Xiong, Xiaoyun Wu and Xiaoming Ma. Their work appears in journals such as Animals, BMC Genomics, Gene, Genes and International Journal of Biological Macromolecules.
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.