Jin Huang
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 24
- Pharmacology top 1%
- Molecular Biology top 5%
- Biochemical and Molecular Research 16
- Natural product bioactivities and synthesis 8
- Melanoma and MAPK Pathways 6
- Toxicology top 2%
- Organic Chemistry top 5%
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- HIV/AIDS drug development and treatment 17
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- Peptidase Inhibition and Analysis 9
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- Malaria Research and Control 8
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- Estrogen and related hormone effects 7
- Co-authors
- Weiqiang LüFeixiong ChengYun TangWeihua LiGuixia LiuJing JiangWei‐Xing ZhouChuang Liu
- Journals
- Journal of Medicinal Chemistry (11 papers)Bioorganic & Medicinal Chemistry Letters (7 papers)MedChemComm (7 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Jin Huang
152 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computational Theory and Mathematics 1.2k
- Pharmacology 314
- Molecular Biology 2.5k
- Toxicology 92
- Organic Chemistry 637
Countries citing papers authored by Jin Huang
This map shows the geographic impact of Jin Huang'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 Jin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Huang more than expected).
Fields of papers citing papers by Jin Huang
This network shows the impact of papers produced by Jin Huang. 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 Jin Huang. The network helps show where Jin Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 3 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 8 | |
| 12 | PIM3 Promotes the Proliferation and Migration of Acute Myeloid Leukemia Cells | 2020 | 1 |
| 13 | 2020 | 35 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 55 | |
| 17 | 2018 | 58 | |
| 18 | 2013 | 48 | |
| 19 | 2012 | 22 | |
| 20 | 2008 | 81 |
About Jin Huang
Jin Huang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Toxicology, having authored 164 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), HIV/AIDS drug development and treatment (17 papers), Biochemical and Molecular Research (16 papers), Peptidase Inhibition and Analysis (9 papers), Natural product bioactivities and synthesis (8 papers), Malaria Research and Control (8 papers), Estrogen and related hormone effects (7 papers) and Melanoma and MAPK Pathways (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Pharmacology (314 citations) and Molecular Biology (2.5k citations). Jin Huang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Weiqiang Lü, Feixiong Cheng, Yun Tang, Weihua Li, Guixia Liu, Jing Jiang, Wei‐Xing Zhou, Chuang Liu, Honglin Li and Hualiang Jiang. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, MedChemComm, European Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.
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.