Jin Huang

5.9k total citations · 2 hit papers
164 papers, 4.4k citations indexed

About

Jin Huang is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Jin Huang has authored 164 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 26 papers in Oncology and 24 papers in Computational Theory and Mathematics. Recurrent topics in Jin Huang's work include Computational Drug Discovery Methods (24 papers), HIV/AIDS drug development and treatment (17 papers) and Biochemical and Molecular Research (16 papers). Jin Huang is often cited by papers focused on Computational Drug Discovery Methods (24 papers), HIV/AIDS drug development and treatment (17 papers) and Biochemical and Molecular Research (16 papers). Jin Huang collaborates with scholars based in China, United States and Israel. Jin Huang's co-authors include Weiqiang Lü, Feixiong Cheng, Yun Tang, Guixia Liu, Weihua Li, Jing Jiang, Chuang Liu, Wei‐Xing Zhou, Honglin Li and Hualiang Jiang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jin Huang

152 papers receiving 4.3k citations

Hit Papers

Prediction of Drug-Target Interactions and Drug Repositio... 2012 2026 2016 2021 2012 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
    2012 638 citations Jing Jiang, Weiqiang Lü et al. profile →
  2. Target identification among known drugs by deep learning from heterogeneous networks
    2020 257 citations Weiqiang Lü, Jin Huang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Huang China 34 2.5k 1.2k 637 410 365 164 4.4k
Diogo Santos‐Martins United States 16 2.7k 1.1× 1.1k 0.9× 1.0k 1.6× 421 1.0× 349 1.0× 30 5.0k
Dan Li China 36 2.7k 1.1× 1.3k 1.1× 484 0.8× 577 1.4× 357 1.0× 156 4.7k
Jérôme Eberhardt United States 11 2.0k 0.8× 856 0.7× 740 1.2× 315 0.8× 276 0.8× 19 3.9k
Andreas F. Tillack United States 13 2.1k 0.8× 893 0.7× 749 1.2× 308 0.8× 527 1.4× 30 4.7k
Rajendra Kumar Sweden 12 2.3k 0.9× 1.1k 1.0× 748 1.2× 389 0.9× 201 0.6× 20 4.1k
Rashmi Kumari India 9 2.1k 0.9× 1.1k 0.9× 736 1.2× 377 0.9× 196 0.5× 40 4.1k
Xuan-Yu Meng China 19 1.5k 0.6× 906 0.8× 617 1.0× 254 0.6× 270 0.7× 48 3.3k
Nadine Homeyer Germany 11 3.3k 1.3× 1.1k 0.9× 671 1.1× 501 1.2× 487 1.3× 18 4.9k
V. Joachim Haupt Germany 19 2.1k 0.8× 1.1k 0.9× 647 1.0× 280 0.7× 238 0.7× 23 3.6k
Melissa F. Adasme Germany 11 1.9k 0.8× 1.1k 0.9× 600 0.9× 279 0.7× 272 0.7× 12 3.6k

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
1.
2.
Tian, Ning, Qian Hu, Yiping Lu, et al.. (2025). Solvothermal domino synthesis of an ER-targeted iron(II) complex for inducing immunogenic cell death. Chinese Chemical Letters. 37(6). 111038–111038.
3.
Huang, Jin, et al.. (2025). Transformer-based deep learning model for predicting osteoporosis in patients with cervical cancer undergoing external-beam radiotherapy. Expert Systems with Applications. 273. 126716–126716. 1 indexed citations
4.
5.
Cheng, Kang, et al.. (2025). Chlorogenic acid alleviates intrauterine growth retardation–induced intestinal damage in piglets. Nutrition. 138. 112810–112810. 2 indexed citations
6.
Liu, Xiangmei, Jin Huang, Yi Wang, et al.. (2025). The Lattice Defects of Nanofilm Introduced by N Doping Promotes Radical Oxygen Species Production for Rapid Photocatalytic Elimination of Contact Infection. Advanced Functional Materials. 35(34). 3 indexed citations
7.
Liu, Hongbo, Junbo Zhang, Wenhui An, et al.. (2025). Operational efficiency improvement in a water supply network: Machine learning-enhanced leakage identification and water resource conservation. Journal of Water Process Engineering. 75. 107924–107924.
8.
Wang, Zhichao, Ying Qu, Xiangmei Liu, et al.. (2025). Dual-functional probiotic hydrogel with puerarin integration for microbiota-neuroimmune regulation in antibiotic-free periodontitis therapy. Bioactive Materials. 53. 72–83. 1 indexed citations
9.
10.
Ma, Hui, Ying Huang, Lu Tang, et al.. (2023). Berberrubine is a novel and selective IMPDH2 inhibitor that impairs the growth of colorectal cancer. Biochemical Pharmacology. 218. 115868–115868. 7 indexed citations
11.
Liu, Xi, Qian Hu, Wanyan Wang, et al.. (2021). A protein-fragment complementation assay reveals that celastrol and gambogic acid suppress ERα mutants in breast cancer. Biochemical Pharmacology. 188. 114583–114583. 8 indexed citations
12.
Wang, Jiajun, Meng‐Yin Li, Jie Yang, et al.. (2020). Direct Quantification of Damaged Nucleotides in Oligonucleotides Using an Aerolysin Single Molecule Interface. ACS Central Science. 6(1). 76–82. 35 indexed citations
13.
Luo, Hao, Ye Zheng, Jin Huang, et al.. (2020). PIM3 Promotes the Proliferation and Migration of Acute Myeloid Leukemia Cells. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Yao, Hong, Hao Tang, Yong Zhang, et al.. (2019). DEPTOR inhibits cell proliferation and confers sensitivity to dopamine agonist in pituitary adenoma. Cancer Letters. 459. 135–144. 18 indexed citations
15.
Wang, Yaqian, Chan Cao, Yi‐Lun Ying, et al.. (2018). Rationally Designed Sensing Selectivity and Sensitivity of an Aerolysin Nanopore via Site-Directed Mutagenesis. ACS Sensors. 3(4). 779–783. 55 indexed citations
16.
Xu, Minghao, Junsheng Zhu, Yanyan Diao, et al.. (2013). Novel Selective and Potent Inhibitors of Malaria Parasite Dihydroorotate Dehydrogenase: Discovery and Optimization of Dihydrothiophenone Derivatives. Journal of Medicinal Chemistry. 56(20). 7911–7924. 48 indexed citations
17.
Zhao, Xue Zhi, Weiqiang Lü, Cheng Song, & Jin Huang. (2013). Detection of mammalian 5‐lipoxygenase activity using the fluorescent probe dihydrorhodamine 123. European Journal of Lipid Science and Technology. 116(2). 119–125. 1 indexed citations
18.
Zou, Juan, Libin Yang, Jing Jiang, et al.. (2012). Lanostane Triterpenoids from the Stems ofSchisandra glaucescens. Planta Medica. 78(5). 472–479. 22 indexed citations
19.
Huang, Jin, Akiko Koide, Koki Makabe, & Shohei Koide. (2008). Design of protein function leaps by directed domain interface evolution. Proceedings of the National Academy of Sciences. 105(18). 6578–6583. 81 indexed citations
20.
Huang, Jin & Charles X. Ling. (2005). Using AUC and Accuracy in Evaluating Learning Algorithms - Appendices.. IEEE Transactions on Knowledge and Data Engineering. 17(29). e202400001–e202400001. 5 indexed citations

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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