Jin Huang

5.9k citations
164 papers · 4.4k indexed · 2 hit papers · h-index 34
Topics
Computational Drug Discovery Methods (24 papers)HIV/AIDS drug development and treatment (17 papers)Biochemical and Molecular Research (16 papers)
Partner nations
ChinaUnited StatesIsrael

In The Last Decade

Jin Huang

152 papers receiving 4.3k citations

Hit Papers

Prediction of Drug-Target Interactions and Drug Repositio...201220262016202120122020200400600

Peers

Jin Huang
Comparison fields: 5 of 148
  • Molecular Biology 2.5k
  • Computational Theory and Mathematics 1.2k
  • Organic Chemistry 637
  • Oncology 410
  • Materials Chemistry 365
Replace Diogo Santos‐Martins with:
Diogo Santos‐Martins United States
Julio Caballero Chile
Mahmoud E. S. Soliman South Africa
Michał Rostkowski Poland
Michael A. Walters United States
Melissa F. Adasme Germany
V. Joachim Haupt Germany
Andreas F. Tillack United States
Markus K. Dahlgren United States
Jérôme Eberhardt United States
Jin Huang relative to Diogo Santos‐Martins United States Diogo Santos‐Martins's profile →
Citations per field
00.5×5.7×
Diogo Santos‐Martins · 1×
Citations per year

Countries citing papers authored by Jin Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Huang. A scholar is included among the top collaborators of Jin Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Huang. Jin Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 0
6 1
7 3
8 0
9 1
10 7
11 8
12
PIM3 Promotes the Proliferation and Migration of Acute Myeloid Leukemia Cells
1
13 35
14 18
15 1
16 55
17 58
18 48
19 22
20 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) and Biochemical and Molecular Research (16 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 Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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.

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