Shuqi Chi
Impact in
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
Papers in
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- Circular RNAs in diseases 4
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- Endometrial and Cervical Cancer Treatments 3
- Uterine Myomas and Treatments 3
- Pregnancy and preeclampsia studies 2
- Co-authors
- Hua Teng (11 shared papers)Xing Zhou (6 shared papers)Hongbo Wang (8 shared papers)Xiaoyan Xin (6 shared papers)Yingchao Zhao (4 shared papers)Rong Zhao (2 shared papers)Dilu Feng (6 shared papers)Yan Liu (1 shared paper)
- Journals
- Oncotarget (4 papers)Oncology Reports (2 papers)Molecular Carcinogenesis (1 paper)Cell Death Discovery (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Shuqi Chi
18 papers receiving 346 citations
Peers
Comparison fields: 5 of 55
- Reproductive Medicine 95
- Obstetrics and Gynecology 88
- Cancer Research 101
- Immunology 78
- Molecular Biology 191
Countries citing papers authored by Shuqi Chi
This map shows the geographic impact of Shuqi 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 Shuqi Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuqi Chi more than expected).
Fields of papers citing papers by Shuqi Chi
This network shows the impact of papers produced by Shuqi 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 Shuqi Chi. The network helps show where Shuqi Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuqi 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 | 2019 | 94 | |
| 2 | 2016 | 51 | |
| 3 | 2019 | 42 | |
| 4 | 2018 | 22 | |
| 5 | 2016 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2020 | 10 | |
| 12 | 2018 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2025 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2020 | 0 |
About Shuqi Chi
Shuqi Chi is a scholar working on Molecular Biology, Obstetrics and Gynecology, Immunology, Cancer Research and Reproductive Medicine, having authored 19 papers that have together received 346 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Endometriosis Research and Treatment (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Reproductive System and Pregnancy (3 papers), Estrogen and related hormone effects (3 papers), Uterine Myomas and Treatments (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Reproductive Medicine (95 citations), Obstetrics and Gynecology (88 citations), Cancer Research (101 citations), Immunology (78 citations) and Molecular Biology (191 citations). Shuqi Chi has collaborated with scholars based in China and United States. Frequent co-authors include Hua Teng, Xing Zhou, Hongbo Wang, Hongbo Wang, Xiaoyan Xin, Yingchao Zhao, Rong Zhao, Dilu Feng, Yan Liu and Wei Zhang. Their work appears in journals such as Oncotarget, Oncology Reports, Molecular Carcinogenesis, Cell Death Discovery and Scientific Reports.
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.