Ge Hu
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in ⓘ
- Immunology 15
- Immune Response and Inflammation 9
- Co-authors
- Jun Xu (15 shared papers)Qiong Gu (9 shared papers)Xiang Mu (15 shared papers)Hong Dong (10 shared papers)Tao Zhang (13 shared papers)Xin Yan (2 shared papers)Haibo Liu (2 shared papers)Wenxia Zhao (4 shared papers)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Scientific Reports (2 papers)Viruses (2 papers)Frontiers in Medicine (2 papers)Molecular Diversity (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ge Hu
70 papers receiving 990 citations
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 166
- Pharmacology 81
- Pharmacology 134
- Complementary and alternative medicine 64
- Molecular Biology 461
Countries citing papers authored by Ge Hu
This map shows the geographic impact of Ge Hu'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 Ge Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Hu more than expected).
Fields of papers citing papers by Ge Hu
This network shows the impact of papers produced by Ge Hu. 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 Ge Hu. The network helps show where Ge Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Hu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 101 | |
| 2 | 2013 | 68 | |
| 3 | 2013 | 66 | |
| 4 | 2016 | 66 | |
| 5 | 2021 | 57 | |
| 6 | 2013 | 55 | |
| 7 | 2013 | 49 | |
| 8 | 2005 | 39 | |
| 9 | 2014 | 32 | |
| 10 | 2012 | 30 | |
| 11 | 2011 | 30 | |
| 12 | 2011 | 27 | |
| 13 | 2012 | 25 | |
| 14 | 2018 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2014 | 18 | |
| 18 | 2024 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2020 | 15 |
About Ge Hu
Ge Hu is a scholar working on Immunology, Complementary and alternative medicine, Microbiology, Molecular Biology and Physiology, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Immune Response and Inflammation (9 papers), Computational Drug Discovery Methods (6 papers), CRISPR and Genetic Engineering (3 papers), Inflammasome and immune disorders (3 papers), Natural product bioactivities and synthesis (3 papers), Protein Structure and Dynamics (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Computational Theory and Mathematics (166 citations), Pharmacology (81 citations), Pharmacology (134 citations), Complementary and alternative medicine (64 citations) and Molecular Biology (461 citations). Ge Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Xu, Qiong Gu, Xiang Mu, Hong Dong, Tao Zhang, Xin Yan, Haibo Liu, Wenxia Zhao, Jiabo Li and Minghao Zheng. Their work appears in journals such as Journal of Chemical Information and Modeling, Scientific Reports, Viruses, Frontiers in Medicine and Molecular Diversity.
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.