Lingjiang Min
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Genetics 19
- Animal Genetics and Reproduction 11
- Genetic and phenotypic traits in livestock 6
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- Sperm and Testicular Function 8
- Co-authors
- Yong Mei Zhao (28 shared papers)Wei Shen (16 shared papers)Wei Shen (19 shared papers)Yanni Feng (16 shared papers)Shuai Yu (12 shared papers)Hongfu Zhang (10 shared papers)Qingjie Pan (12 shared papers)Lan Li (10 shared papers)
- Journals
- Scientific Reports (3 papers)Toxicology Letters (3 papers)Livestock Science (2 papers)Toxicology and Applied Pharmacology (2 papers)Animals (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Lingjiang Min
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Reproductive Medicine 165
- Cancer Research 198
- Genetics 294
- Nutrition and Dietetics 146
- Molecular Biology 478
Countries citing papers authored by Lingjiang Min
This map shows the geographic impact of Lingjiang Min'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 Lingjiang Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjiang Min more than expected).
Fields of papers citing papers by Lingjiang Min
This network shows the impact of papers produced by Lingjiang Min. 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 Lingjiang Min. The network helps show where Lingjiang Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingjiang Min, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2016 | 101 | |
| 3 | 2017 | 55 | |
| 4 | 2006 | 54 | |
| 5 | 2016 | 54 | |
| 6 | 2019 | 44 | |
| 7 | 2017 | 42 | |
| 8 | 2006 | 39 | |
| 9 | 2013 | 35 | |
| 10 | 2016 | 35 | |
| 11 | 2012 | 34 | |
| 12 | 2021 | 34 | |
| 13 | 2017 | 34 | |
| 14 | 2016 | 32 | |
| 15 | 2019 | 32 | |
| 16 | 2017 | 31 | |
| 17 | 2017 | 31 | |
| 18 | 2016 | 30 | |
| 19 | 2018 | 30 | |
| 20 | 2018 | 29 |
About Lingjiang Min
Lingjiang Min is a scholar working on Genetics, Reproductive Medicine, Cancer Research, Nutrition and Dietetics and Biochemistry, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (11 papers), Reproductive Biology and Fertility (9 papers), Sperm and Testicular Function (8 papers), Genetic and phenotypic traits in livestock (6 papers), CRISPR and Genetic Engineering (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers) and Selenium in Biological Systems (5 papers). The work is most often cited by research in Reproductive Medicine (165 citations), Cancer Research (198 citations), Genetics (294 citations), Nutrition and Dietetics (146 citations) and Molecular Biology (478 citations). Lingjiang Min has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Yong Mei Zhao, Wei Shen, Wei Shen, Yanni Feng, Shuai Yu, Hongfu Zhang, Qingjie Pan, Lan Li, Dongxue Ma and Lan Li. Their work appears in journals such as Scientific Reports, Toxicology Letters, Livestock Science, Toxicology and Applied Pharmacology and Animals.
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.