Wei Gui
Impact in
- Ophthalmology top 5%
Papers in
-
- Gut microbiota and health 4
- Plant Reproductive Biology 3
- Oncology 11
- Viral-associated cancers and disorders 5
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Andrew D. Patterson (10 shared papers)Jingwei Cai (5 shared papers)Yuan Tian (9 shared papers)Imhoi Koo (7 shared papers)Robert G. Nichols (5 shared papers)Philip B. Smith (6 shared papers)Bipin Rimal (5 shared papers)Qing Liu (3 shared papers)
- Journals
- Agronomy (3 papers)BMC Plant Biology (2 papers)Gut Microbes (2 papers)Journal of Process Control (2 papers)The Journal of Headache and Pain (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Gui
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Ophthalmology 61
- Biological Psychiatry 16
- Gastroenterology 28
- Molecular Biology 350
- Oncology 121
Countries citing papers authored by Wei Gui
This map shows the geographic impact of Wei Gui'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 Wei Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Gui more than expected).
Fields of papers citing papers by Wei Gui
This network shows the impact of papers produced by Wei Gui. 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 Wei Gui. The network helps show where Wei Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Gui, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 190 | |
| 2 | 2018 | 89 | |
| 3 | 2014 | 51 | |
| 4 | 2012 | 44 | |
| 5 | 2019 | 43 | |
| 6 | 2020 | 42 | |
| 7 | 2009 | 41 | |
| 8 | 2019 | 40 | |
| 9 | 2018 | 30 | |
| 10 | 2017 | 26 | |
| 11 | 2017 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2012 | 20 | |
| 18 | 2018 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2009 | 18 |
About Wei Gui
Wei Gui is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (5 papers), Gut microbiota and health (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Migraine and Headache Studies (4 papers), Insect-Plant Interactions and Control (4 papers), Plant Reproductive Biology (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Ophthalmology (61 citations), Biological Psychiatry (16 citations), Gastroenterology (28 citations), Molecular Biology (350 citations) and Oncology (121 citations). Wei Gui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Andrew D. Patterson, Jingwei Cai, Yuan Tian, Imhoi Koo, Robert G. Nichols, Philip B. Smith, Bipin Rimal, Qing Liu, Chunhua Yang and Kok Lay Teo. Their work appears in journals such as Agronomy, BMC Plant Biology, Gut Microbes, Journal of Process Control and The Journal of Headache and Pain.
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.