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 3
- Surgery 4
- Esophageal Cancer Research and Treatment 2
- Co-authors
- Lisi Zeng (2 shared papers)Xianzi Yang (2 shared papers)Shuzhong Cui (2 shared papers)Qingjun He (2 shared papers)Quanxing Liao (2 shared papers)Hong Zhang (2 shared papers)Ziying Lei (2 shared papers)Tiantian Cheng (2 shared papers)
- Journals
- Aging (2 papers)Cellular and Molecular Life Sciences (2 papers)Japanese Journal of Clinical Oncology (1 paper)Annals of Translational Medicine (1 paper)Cellular Physiology and Biochemistry (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jun Chi
20 papers receiving 616 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 322
- Reproductive Medicine 99
- Molecular Biology 388
- Immunology 77
- Genetics 76
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 310 | |
| 2 | 2013 | 64 | |
| 3 | 2012 | 57 | |
| 4 | 2018 | 46 | |
| 5 | 2017 | 34 | |
| 6 | 2011 | 23 | |
| 7 | 2018 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2024 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2020 | 1 |
About Jun Chi
Jun Chi is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Reproductive Medicine, having authored 20 papers that have together received 621 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), RNA modifications and cancer (3 papers), Genetic factors in colorectal cancer (2 papers), Reproductive Biology and Fertility (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Cancer Research (322 citations), Reproductive Medicine (99 citations), Molecular Biology (388 citations), Immunology (77 citations) and Genetics (76 citations). Jun Chi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lisi Zeng, Xianzi Yang, Shuzhong Cui, Qingjun He, Quanxing Liao, Hong Zhang, Ziying Lei, Tiantian Cheng, Zhen Tang and Jian Fei. Their work appears in journals such as Aging, Cellular and Molecular Life Sciences, Japanese Journal of Clinical Oncology, Annals of Translational Medicine and Cellular Physiology and Biochemistry.
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.