Ran Di
Impact in
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Agronomy and Crop Science top 1%
- Reproductive Physiology in Livestock
Papers in
- Genetics 95
- Genetic and phenotypic traits in livestock 93
-
- Reproductive Physiology in Livestock 40
- Co-authors
- Mingxing Chu (123 shared papers)Xiaoyun He (63 shared papers)Guiling Cao (30 shared papers)Tao Feng (29 shared papers)Qiuyue Liu (42 shared papers)Xiangyu Wang (52 shared papers)Wenping Hu (35 shared papers)Xiaosheng Zhang (27 shared papers)
- Journals
- Animals (21 papers)Molecular Biology Reports (17 papers)Genes (7 papers)BMC Genomics (7 papers)Frontiers in Veterinary Science (6 papers)
- Partner nations
- ChinaLebanonUnited Kingdom
In The Last Decade
Ran Di
129 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 54
- Genetics 1.4k
- Agronomy and Crop Science 397
- Reproductive Medicine 157
- Cancer Research 63
- Urology 32
Countries citing papers authored by Ran Di
This map shows the geographic impact of Ran Di'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 Ran Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Di more than expected).
Fields of papers citing papers by Ran Di
This network shows the impact of papers produced by Ran Di. 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 Ran Di. The network helps show where Ran Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Di, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2010 | 59 | |
| 3 | 2011 | 56 | |
| 4 | 2017 | 55 | |
| 5 | 2010 | 46 | |
| 6 | 2010 | 46 | |
| 7 | 2014 | 45 | |
| 8 | 2020 | 44 | |
| 9 | 2010 | 43 | |
| 10 | 2012 | 41 | |
| 11 | 2018 | 41 | |
| 12 | 2021 | 41 | |
| 13 | 2018 | 39 | |
| 14 | 2010 | 37 | |
| 15 | 2019 | 35 | |
| 16 | 2020 | 35 | |
| 17 | 2021 | 34 | |
| 18 | 2011 | 30 | |
| 19 | 2019 | 29 | |
| 20 | 2020 | 29 |
About Ran Di
Ran Di is a scholar working on Genetics, Agronomy and Crop Science, Reproductive Medicine, Cancer Research and Endocrine and Autonomic Systems, having authored 132 papers that have together received 2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (93 papers), Reproductive Physiology in Livestock (40 papers), Hypothalamic control of reproductive hormones (13 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Chromosomal and Genetic Variations (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Genetics (1.4k citations), Agronomy and Crop Science (397 citations), Reproductive Medicine (157 citations), Cancer Research (63 citations) and Urology (32 citations). Ran Di has collaborated with scholars based in China, Lebanon and United Kingdom. Frequent co-authors include Mingxing Chu, Xiaoyun He, Guiling Cao, Tao Feng, Qiuyue Liu, Xiangyu Wang, Wenping Hu, Xiaosheng Zhang, Xiaofei Guo and Ningxiao Li. Their work appears in journals such as Animals, Molecular Biology Reports, Genes, BMC Genomics and Frontiers in Veterinary Science.
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.