Guohui Wang
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 4
- Oncology 12
- Drug Transport and Resistance Mechanisms 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Kezhong Zhang (6 shared papers)Zeng Quan Yang (1 shared paper)Wenbo Xu (1 shared paper)Sung Hoon Back (1 shared paper)Jyoti Malhotra (1 shared paper)Justin Hassler (1 shared paper)Roberta Leonardi (1 shared paper)Hongzhi Miao (1 shared paper)
- Journals
- Frontiers in Oncology (6 papers)Scientific Reports (5 papers)Medicine (3 papers)PeerJ (3 papers)Cellular Physiology and Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Guohui Wang
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Cell Biology 336
- Cancer Research 183
- Molecular Biology 548
- Epidemiology 242
- Oncology 169
Countries citing papers authored by Guohui Wang
This map shows the geographic impact of Guohui 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 Guohui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohui Wang more than expected).
Fields of papers citing papers by Guohui Wang
This network shows the impact of papers produced by Guohui 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 Guohui Wang. The network helps show where Guohui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guohui 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 295 | |
| 2 | Endoplasmic reticulum stress response in cancer: molecular mechanism and therapeutic potential. | 2010 | 126 |
| 3 | 2016 | 68 | |
| 4 | 2021 | 65 | |
| 5 | 2006 | 55 | |
| 6 | 2013 | 42 | |
| 7 | 2015 | 39 | |
| 8 | 2015 | 36 | |
| 9 | 2016 | 35 | |
| 10 | 2012 | 33 | |
| 11 | 2020 | 32 | |
| 12 | 2012 | 31 | |
| 13 | 2018 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2012 | 21 | |
| 20 | 2016 | 20 |
About Guohui Wang
Guohui Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), RNA Research and Splicing (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immune cells in cancer (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cell Biology (336 citations), Cancer Research (183 citations), Molecular Biology (548 citations), Epidemiology (242 citations) and Oncology (169 citations). Guohui Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kezhong Zhang, Zeng Quan Yang, Wenbo Xu, Sung Hoon Back, Jyoti Malhotra, Justin Hassler, Roberta Leonardi, Hongzhi Miao, Randal J. Kaufman and Lin Chang. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, Medicine, PeerJ and Cellular Physiology and Biochemistry.
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.