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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- Circular RNAs in diseases 2
- Co-authors
- Manhua Cui (4 shared papers)Yuemei Jin (3 shared papers)Ling Wang (2 shared papers)Lin Yang (1 shared paper)Aamir Ahmad (1 shared paper)Yanqing Li (1 shared paper)Jingyan Tian (2 shared papers)Yang Li (1 shared paper)
- Journals
- Cell Biochemistry and Biophysics (1 paper)Frontiers in Oncology (1 paper)Colloids and Surfaces B Biointerfaces (1 paper)Cancer Letters (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fengjun Guo
14 papers receiving 351 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 138
- Reproductive Medicine 57
- Obstetrics and Gynecology 43
- Toxicology 11
- Immunology 64
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 | 53 | |
| 3 | 2016 | 49 | |
| 4 | 2017 | 48 | |
| 5 | 2017 | 34 | |
| 6 | Chemoresistance and targeting of growth factors/cytokines signalling pathways: towards the development of effective therapeutic strategy for endometrial cancer. | 2018 | 32 |
| 7 | 2020 | 31 | |
| 8 | 2021 | 25 | |
| 9 | MIR-92 stimulates VEGF by inhibiting von Hippel-Lindau gene product in epithelial ovarian cancer. | 2017 | 9 |
| 10 | 2023 | 8 | |
| 11 | 2022 | 5 | |
| 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 356 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer-related molecular mechanisms research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Circular RNAs in diseases (2 papers), Prostate Cancer Treatment and Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (138 citations), Reproductive Medicine (57 citations), Obstetrics and Gynecology (43 citations), Toxicology (11 citations) and Immunology (64 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, Aamir Ahmad, Yanqing Li, Jingyan Tian, Yang Li, Bingbing Yu and Yingying Chen. Their work appears in journals such as Cell Biochemistry and Biophysics, Frontiers in Oncology, Colloids and Surfaces B Biointerfaces, Cancer Letters and Biomedicine & Pharmacotherapy.
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.