Guangwei Cui
Impact in
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- Circadian rhythm and melatonin
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 21
- Immune Cell Function and Interaction 19
- IL-33, ST2, and ILC Pathways 15
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 3
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- Acupuncture Treatment Research Studies 6
- Co-authors
- Koichi Ikuta (23 shared papers)Shizue Tani‐ichi (13 shared papers)Takahiro Hara (9 shared papers)Hitoshi Miyachi (9 shared papers)Satsuki Kitano (9 shared papers)Shinya Abe (16 shared papers)Akihiro Shimba (12 shared papers)Masaru Ishii (2 shared papers)
In The Last Decade
Guangwei Cui
29 papers receiving 729 citations
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 145
- Immunology 375
- Aging 25
- Biological Psychiatry 24
- Complementary and alternative medicine 65
Countries citing papers authored by Guangwei Cui
This map shows the geographic impact of Guangwei Cui'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 Guangwei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangwei Cui more than expected).
Fields of papers citing papers by Guangwei Cui
This network shows the impact of papers produced by Guangwei Cui. 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 Guangwei Cui. The network helps show where Guangwei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangwei Cui, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2018 | 128 | |
| 3 | 2020 | 84 | |
| 4 | 2016 | 68 | |
| 5 | 2022 | 55 | |
| 6 | 2020 | 34 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 22 | |
| 9 | 2015 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 20 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2024 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 8 |
About Guangwei Cui
Guangwei Cui is a scholar working on Immunology, Complementary and alternative medicine, Surgery, Cognitive Neuroscience and Physiology, having authored 30 papers that have together received 737 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), IL-33, ST2, and ILC Pathways (15 papers), T-cell and B-cell Immunology (10 papers), Acupuncture Treatment Research Studies (6 papers), Eosinophilic Esophagitis (5 papers), Immunotherapy and Immune Responses (3 papers), Pain Management and Placebo Effect (3 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (145 citations), Immunology (375 citations), Aging (25 citations), Biological Psychiatry (24 citations) and Complementary and alternative medicine (65 citations). Guangwei Cui has collaborated with scholars based in Japan, China and Germany. Frequent co-authors include Koichi Ikuta, Shizue Tani‐ichi, Takahiro Hara, Hitoshi Miyachi, Satsuki Kitano, Shinya Abe, Akihiro Shimba, Masaru Ishii, Keisuke Wagatsuma and Szandor Simmons. Their work appears in journals such as The Journal of Immunology, Cell Reports, Current topics in microbiology and immunology, International Immunology and Nature Immunology.
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.