Feng Guan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 45
- Extracellular vesicles in disease 14
- Ubiquitin and proteasome pathways 8
- Immunology 31
- Galectins and Cancer Biology 20
- Co-authors
- Zengqi Tan (37 shared papers)Ganglong Yang (16 shared papers)Xiaoman Zhou (10 shared papers)Sen‐itiroh Hakomori (4 shared papers)Kazuko Handa (4 shared papers)Jingping Yuan (5 shared papers)Jia Guo (9 shared papers)Xiang Li (7 shared papers)
- Journals
- Frontiers in Oncology (7 papers)International Journal of Molecular Sciences (4 papers)Cell Communication and Signaling (4 papers)Cells (3 papers)Analytical Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Guan
111 papers receiving 2.4k citations
Feng Guan's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 361
- Immunology 494
- Molecular Biology 1.7k
- Biochemistry 95
- Cell Biology 190
Countries citing papers authored by Feng Guan
This map shows the geographic impact of Feng Guan'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 Feng Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Guan more than expected).
Fields of papers citing papers by Feng Guan
This network shows the impact of papers produced by Feng Guan. 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 Feng Guan. The network helps show where Feng Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Guan, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cisplatin Induces Pyroptosis via Activation of MEG3/NLRP3/caspase-1/GSDMD Pathway in Triple-Negative Breast Cancer Hit paper breakdown → | 2021 | 233 |
| 2 | 2020 | 129 | |
| 3 | 2009 | 122 | |
| 4 | 2021 | 73 | |
| 5 | 2015 | 70 | |
| 6 | 2023 | 70 | |
| 7 | 2014 | 68 | |
| 8 | 2020 | 66 | |
| 9 | 2014 | 60 | |
| 10 | 2016 | 54 | |
| 11 | 2010 | 53 | |
| 12 | 2018 | 50 | |
| 13 | 2020 | 47 | |
| 14 | 2022 | 45 | |
| 15 | 2021 | 44 | |
| 16 | 2020 | 44 | |
| 17 | 2018 | 41 | |
| 18 | 2013 | 40 | |
| 19 | 2015 | 39 | |
| 20 | 2019 | 38 |
About Feng Guan
Feng Guan is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Organic Chemistry, having authored 120 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (45 papers), Galectins and Cancer Biology (20 papers), Extracellular vesicles in disease (14 papers), Carbohydrate Chemistry and Synthesis (12 papers), MicroRNA in disease regulation (10 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Cancer Research (361 citations), Immunology (494 citations), Molecular Biology (1.7k citations), Biochemistry (95 citations) and Cell Biology (190 citations). Feng Guan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zengqi Tan, Ganglong Yang, Xiaoman Zhou, Sen‐itiroh Hakomori, Kazuko Handa, Jingping Yuan, Jia Guo, Xiang Li, Bin Luo and Xiaoyan Wu. Their work appears in journals such as Frontiers in Oncology, International Journal of Molecular Sciences, Cell Communication and Signaling, Cells and Analytical Chemistry.
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.