Huan Gui
Impact in
- Computational Mathematics top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- 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)Liyuan Liu (2 shared papers)Xiang Ren (2 shared papers)Yili Yang (2 shared papers)
- Journals
- International Immunopharmacology (4 papers)Biochemical and Biophysical Research Communications (4 papers)CNS Neuroscience & Therapeutics (2 papers)Oncology Reports (2 papers)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Huan Gui
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Computational Mathematics 21
- Cancer Research 196
- Neurology 110
- Artificial Intelligence 438
- Pharmacology 191
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 | 218 | |
| 2 | 2018 | 217 | |
| 3 | 2013 | 144 | |
| 4 | 2018 | 70 | |
| 5 | 2014 | 65 | |
| 6 | 2016 | 63 | |
| 7 | 2017 | 59 | |
| 8 | 2015 | 56 | |
| 9 | 2019 | 54 | |
| 10 | 2014 | 51 | |
| 11 | 2015 | 47 | |
| 12 | 2013 | 43 | |
| 13 | 2017 | 43 | |
| 14 | 2016 | 40 | |
| 15 | 2021 | 34 | |
| 16 | 2014 | 29 | |
| 17 | 2018 | 26 | |
| 18 | 2010 | 24 | |
| 19 | 2021 | 22 | |
| 20 | 2022 | 20 |
About Huan Gui
Huan Gui is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Pharmacology and Statistical and Nonlinear Physics, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Complex Network Analysis Techniques (4 papers), Sleep and Wakefulness Research (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Immune Response and Inflammation (3 papers), Advanced Graph Neural Networks (3 papers), Data Stream Mining Techniques (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Computational Mathematics (21 citations), Cancer Research (196 citations), Neurology (110 citations), Artificial Intelligence (438 citations) and Pharmacology (191 citations). Huan Gui has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Jiawei Han, Yang Sun, Xia Liu, Ding‐Feng Su, Sheng‐Ming Dai, Liyuan Liu, Xiang Ren, Yili Yang, Qi Li and Jian Peng. Their work appears in journals such as International Immunopharmacology, Biochemical and Biophysical Research Communications, CNS Neuroscience & Therapeutics, Oncology Reports and Cell Research.
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.