Jun Chi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 5%
- Sperm and Testicular Function
Papers in
-
- RNA modifications and cancer 2
- Genetics 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Co-authors
- Qingjun He (2 shared papers)Ziying Lei (2 shared papers)Quanxing Liao (2 shared papers)Xianzi Yang (2 shared papers)Tiantian Cheng (2 shared papers)Shuzhong Cui (2 shared papers)Hong Zhang (2 shared papers)Zhen Tang (1 shared paper)
- Journals
- Aging (2 papers)Cellular and Molecular Life Sciences (2 papers)La radiologia medica (1 paper)Molecular Cancer (1 paper)Cell Regeneration (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Chi
20 papers receiving 627 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 285
- Reproductive Medicine 98
- Molecular Biology 306
- Immunology 74
- Genetics 70
Countries citing papers authored by Jun Chi
This map shows the geographic impact of Jun Chi'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 Jun Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Chi more than expected).
Fields of papers citing papers by Jun Chi
This network shows the impact of papers produced by Jun Chi. 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 Jun Chi. The network helps show where Jun Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Chi, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 313 | |
| 2 | 2013 | 68 | |
| 3 | 2012 | 57 | |
| 4 | 2018 | 47 | |
| 5 | 2017 | 34 | |
| 6 | 2011 | 23 | |
| 7 | 2018 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2024 | 8 | |
| 11 | 2017 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2020 | 1 |
About Jun Chi
Jun Chi is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Computer Vision and Pattern Recognition and Cancer Research, having authored 22 papers that have together received 632 indexed citations. Recurring topics across this work include Sperm and Testicular Function (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Cancer-related molecular mechanisms research (3 papers), Image Enhancement Techniques (2 papers), Esophageal Cancer Research and Treatment (2 papers), Reproductive Biology and Fertility (2 papers), RNA modifications and cancer (2 papers) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Cancer Research (285 citations), Reproductive Medicine (98 citations), Molecular Biology (306 citations), Immunology (74 citations) and Genetics (70 citations). Jun Chi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingjun He, Ziying Lei, Quanxing Liao, Xianzi Yang, Tiantian Cheng, Shuzhong Cui, Hong Zhang, Zhen Tang, Zhugang Wang and Chunling Shen. Their work appears in journals such as Aging, Cellular and Molecular Life Sciences, La radiologia medica, Molecular Cancer and Cell Regeneration.
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.