Huan Gui
Impact in
- Computational Mathematics top 5%
- Neurology top 10%
Papers in
- Immunology 11
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- Immune Response and Inflammation 3
- Co-authors
- Jiawei Han (8 shared papers)Yang Sun (4 shared papers)Xia Liu (3 shared papers)Ding‐Feng Su (2 shared papers)Sheng‐Ming Dai (4 shared papers)Yili Yang (2 shared papers)Liyuan Liu (2 shared papers)Xiang Ren (2 shared papers)
- Journals
- International Immunopharmacology (4 papers)Biochemical and Biophysical Research Communications (4 papers)CNS Neuroscience & Therapeutics (2 papers)Oncology Reports (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Huan Gui
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Computational Mathematics 19
- Neurology 120
- Cancer Research 219
- Artificial Intelligence 395
- Developmental Neuroscience 48
Countries citing papers authored by Huan Gui
This map shows the geographic impact of Huan 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 Huan Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan Gui more than expected).
Fields of papers citing papers by Huan Gui
This network shows the impact of papers produced by Huan 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 Huan Gui. The network helps show where Huan Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Huan 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 213 | |
| 2 | 2018 | 193 | |
| 3 | 2013 | 142 | |
| 4 | 2014 | 63 | |
| 5 | 2018 | 62 | |
| 6 | 2016 | 61 | |
| 7 | 2017 | 57 | |
| 8 | 2019 | 52 | |
| 9 | 2015 | 50 | |
| 10 | 2014 | 48 | |
| 11 | 2015 | 45 | |
| 12 | 2013 | 42 | |
| 13 | 2016 | 38 | |
| 14 | 2017 | 38 | |
| 15 | 2021 | 34 | |
| 16 | 2010 | 24 | |
| 17 | 2018 | 24 | |
| 18 | 2014 | 23 | |
| 19 | 2021 | 22 | |
| 20 | 2018 | 19 |
About Huan Gui
Huan Gui is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Pharmacology and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (4 papers), Complex Network Analysis Techniques (4 papers), Immunotherapy and Immune Responses (4 papers), Tryptophan and brain disorders (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Computational Mathematics (19 citations), Neurology (120 citations), Cancer Research (219 citations), Artificial Intelligence (395 citations) and Developmental Neuroscience (48 citations). Huan Gui has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jiawei Han, Yang Sun, Xia Liu, Ding‐Feng Su, Sheng‐Ming Dai, Yili Yang, Liyuan Liu, Xiang Ren, Qi Li and Dong-ping Xu. Their work appears in journals such as International Immunopharmacology, Biochemical and Biophysical Research Communications, CNS Neuroscience & Therapeutics, Oncology Reports and Scientific Reports.
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.