Qi Che
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Reproductive Medicine top 5%
Papers in
-
- Circular RNAs in diseases 3
- Oncology 9
- Cytokine Signaling Pathways and Interactions 5
- Cancer Cells and Metastasis 3
- Co-authors
- Xiaoping Wan (13 shared papers)Fangyuan Wang (9 shared papers)Xiaoying He (7 shared papers)Yun Liao (8 shared papers)Pamela K. Carmines (3 shared papers)Zheng Chen (4 shared papers)Huihui Wang (3 shared papers)Feizhou Jiang (6 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Hypertension (2 papers)PLoS ONE (2 papers)Reproductive Biology and Endocrinology (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Qi Che
30 papers receiving 940 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 337
- Reproductive Medicine 92
- Obstetrics and Gynecology 79
- Molecular Biology 490
- Oncology 160
Countries citing papers authored by Qi Che
This map shows the geographic impact of Qi Che'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 Qi Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Che more than expected).
Fields of papers citing papers by Qi Che
This network shows the impact of papers produced by Qi Che. 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 Qi Che. The network helps show where Qi Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Che, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 101 | |
| 2 | 2013 | 61 | |
| 3 | 2017 | 58 | |
| 4 | 2014 | 48 | |
| 5 | 2016 | 46 | |
| 6 | 2015 | 44 | |
| 7 | 2015 | 44 | |
| 8 | 2015 | 42 | |
| 9 | 2014 | 40 | |
| 10 | 2019 | 40 | |
| 11 | 2015 | 38 | |
| 12 | 2006 | 32 | |
| 13 | 2019 | 32 | |
| 14 | 2020 | 31 | |
| 15 | 2002 | 29 | |
| 16 | 2014 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2019 | 26 | |
| 19 | 2009 | 24 | |
| 20 | 2014 | 22 |
About Qi Che
Qi Che is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Physiology, having authored 30 papers that have together received 957 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related molecular mechanisms research (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Circular RNAs in diseases (3 papers), Cancer Cells and Metastasis (3 papers), Renin-Angiotensin System Studies (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (337 citations), Reproductive Medicine (92 citations), Obstetrics and Gynecology (79 citations), Molecular Biology (490 citations) and Oncology (160 citations). Qi Che has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaoping Wan, Fangyuan Wang, Xiaoying He, Yun Liao, Pamela K. Carmines, Zheng Chen, Huihui Wang, Feizhou Jiang, Huihui Wang and Binya Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Hypertension, PLoS ONE, Reproductive Biology and Endocrinology and BMC Cancer.
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.