Feng-Ze Wang
Impact in
Papers in
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- Cell death mechanisms and regulation 7
- PI3K/AKT/mTOR signaling in cancer 6
- DNA Repair Mechanisms 2
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- Autophagy in Disease and Therapy 5
- Co-authors
- Ya‐Jun Hou (4 shared papers)Xiaoyi Yang (3 shared papers)Bao‐liang Sun (3 shared papers)Zhaojun Li (3 shared papers)Chuang Yuan (2 shared papers)Mingfeng Yang (4 shared papers)Qiangqiang Liu (2 shared papers)Yunyun Zhang (3 shared papers)
- Journals
- Chemico-Biological Interactions (3 papers)Molecular and Cellular Biochemistry (2 papers)Journal of Cell Communication and Signaling (1 paper)Oncology Reports (1 paper)Biochimie (1 paper)
- Partner nations
- ChinaSwitzerlandSouth Korea
In The Last Decade
Feng-Ze Wang
23 papers receiving 348 citations
Peers
Comparison fields: 5 of 71
- Biological Psychiatry 12
- Cancer Research 45
- Molecular Biology 207
- Cell Biology 42
- Toxicology 8
Countries citing papers authored by Feng-Ze Wang
This map shows the geographic impact of Feng-Ze Wang'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-Ze Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng-Ze Wang more than expected).
Fields of papers citing papers by Feng-Ze Wang
This network shows the impact of papers produced by Feng-Ze Wang. 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-Ze Wang. The network helps show where Feng-Ze Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng-Ze Wang, 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 | 2016 | 52 | |
| 2 | 2014 | 39 | |
| 3 | 2013 | 35 | |
| 4 | 2020 | 24 | |
| 5 | 2011 | 18 | |
| 6 | 2023 | 18 | |
| 7 | 2013 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2014 | 14 | |
| 12 | 2017 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2020 | 5 |
About Feng-Ze Wang
Feng-Ze Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Pharmacology and Pathology and Forensic Medicine, having authored 25 papers that have together received 353 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Autophagy in Disease and Therapy (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer Mechanisms and Therapy (4 papers), DNA Repair Mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Flavonoids in Medical Research (2 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Cancer Research (45 citations), Molecular Biology (207 citations), Cell Biology (42 citations) and Toxicology (8 citations). Feng-Ze Wang has collaborated with scholars based in China, Switzerland and South Korea. Frequent co-authors include Ya‐Jun Hou, Xiaoyi Yang, Bao‐liang Sun, Zhaojun Li, Chuang Yuan, Mingfeng Yang, Qiangqiang Liu, Yunyun Zhang, Hao Wang and Xiaodan Wang. Their work appears in journals such as Chemico-Biological Interactions, Molecular and Cellular Biochemistry, Journal of Cell Communication and Signaling, Oncology Reports and Biochimie.
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.