Fengjun Guo
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
Papers in
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- Galectins and Cancer Biology 1
- Co-authors
- Manhua Cui (4 shared papers)Yuemei Jin (3 shared papers)Ling Wang (2 shared papers)Lin Yang (1 shared paper)Xiwen Zhang (1 shared paper)Aamir Ahmad (1 shared paper)Yan Jia (1 shared paper)Bingbing Yu (1 shared paper)
- Journals
- Cancer Letters (1 paper)Carcinogenesis (1 paper)Frontiers in Oncology (1 paper)Colloids and Surfaces B Biointerfaces (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fengjun Guo
14 papers receiving 363 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 125
- Reproductive Medicine 56
- Obstetrics and Gynecology 31
- Immunology 55
- Toxicology 9
Countries citing papers authored by Fengjun Guo
This map shows the geographic impact of Fengjun Guo'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 Fengjun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengjun Guo more than expected).
Fields of papers citing papers by Fengjun Guo
This network shows the impact of papers produced by Fengjun Guo. 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 Fengjun Guo. The network helps show where Fengjun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengjun Guo, 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 | 2013 | 56 | |
| 2 | 2019 | 55 | |
| 3 | 2017 | 51 | |
| 4 | 2016 | 51 | |
| 5 | 2017 | 34 | |
| 6 | 2020 | 32 | |
| 7 | Chemoresistance and targeting of growth factors/cytokines signalling pathways: towards the development of effective therapeutic strategy for endometrial cancer. | 2018 | 31 |
| 8 | 2021 | 26 | |
| 9 | 2023 | 10 | |
| 10 | MIR-92 stimulates VEGF by inhibiting von Hippel-Lindau gene product in epithelial ovarian cancer. | 2017 | 9 |
| 11 | 2022 | 6 | |
| 12 | 2020 | 3 | |
| 13 | 2013 | 2 | |
| 14 | 2021 | 1 |
About Fengjun Guo
Fengjun Guo is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Obstetrics and Gynecology, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), MicroRNA in disease regulation (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Estrogen and related hormone effects (2 papers), Prostate Cancer Treatment and Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endometriosis Research and Treatment (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (125 citations), Reproductive Medicine (56 citations), Obstetrics and Gynecology (31 citations), Immunology (55 citations) and Toxicology (9 citations). Fengjun Guo has collaborated with scholars based in China and United States. Frequent co-authors include Manhua Cui, Yuemei Jin, Ling Wang, Lin Yang, Xiwen Zhang, Aamir Ahmad, Yan Jia, Bingbing Yu, Jingyan Tian and Yanqing Li. Their work appears in journals such as Cancer Letters, Carcinogenesis, Frontiers in Oncology, Colloids and Surfaces B Biointerfaces and PLoS ONE.
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.