Feifei Ren
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune cells in cancer
Papers in
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- RNA modifications and cancer 3
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- Immunotherapy and Immune Responses 3
- Co-authors
- Yi Zhang (8 shared papers)Qitai Zhao (5 shared papers)Pengyuan Zheng (11 shared papers)Yang Mi (9 shared papers)Yamin Qiao (3 shared papers)Youcai Tang (8 shared papers)Chaoqi Zhang (4 shared papers)Shasha Liu (4 shared papers)
- Journals
- Cancer Science (2 papers)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cancer Letters (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Feifei Ren
25 papers receiving 719 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 154
- Immunology 172
- Genetics 75
- Oncology 170
- Endocrinology, Diabetes and Metabolism 79
Countries citing papers authored by Feifei Ren
This map shows the geographic impact of Feifei Ren'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 Feifei Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Ren more than expected).
Fields of papers citing papers by Feifei Ren
This network shows the impact of papers produced by Feifei Ren. 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 Feifei Ren. The network helps show where Feifei Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Ren, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 144 | |
| 2 | 2012 | 82 | |
| 3 | 2018 | 74 | |
| 4 | 2018 | 58 | |
| 5 | 2018 | 56 | |
| 6 | 2020 | 53 | |
| 7 | 2021 | 51 | |
| 8 | 2023 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2014 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2022 | 15 | |
| 13 | 2024 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2018 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2009 | 5 | |
| 20 | 2019 | 5 |
About Feifei Ren
Feifei Ren is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 25 papers that have together received 721 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers), Glioma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ferroptosis and cancer prognosis (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Cancer Research (154 citations), Immunology (172 citations), Genetics (75 citations), Oncology (170 citations) and Endocrinology, Diabetes and Metabolism (79 citations). Feifei Ren has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yi Zhang, Qitai Zhao, Pengyuan Zheng, Yang Mi, Yamin Qiao, Youcai Tang, Chaoqi Zhang, Shasha Liu, Guohui Qin and Dan Wang. Their work appears in journals such as Cancer Science, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Biochemical and Biophysical Research Communications, Cancer Letters and Frontiers in Cellular and Infection Microbiology.
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.