Feng Huang

2.4k total citations · 1 hit paper
33 papers, 1.9k citations indexed

About

Feng Huang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, Feng Huang has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 3 papers in Epidemiology. Recurrent topics in Feng Huang's work include Computational Drug Discovery Methods (13 papers), Bioinformatics and Genomic Networks (9 papers) and Machine Learning in Bioinformatics (4 papers). Feng Huang is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Bioinformatics and Genomic Networks (9 papers) and Machine Learning in Bioinformatics (4 papers). Feng Huang collaborates with scholars based in China, United States and Nigeria. Feng Huang's co-authors include Wen Zhang, Jeffrey N. Keller, Wenjie Xiao, Xiaohan Zhao, Annadora J. Bruce‐Keller, Mark P. Mattson, Xiang Yue, Ruoqi Liu, Haitao Fu and Feng Liu and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Feng Huang

33 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Predicting drug–disease associations through layer attention graph convolutional network

2020 279 citations Feng Huang, Wen Zhang et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Huang China	18	1.3k	693	304	150	150	33	1.9k
Javier Garcı́a-Garcı́a Spain	18	1.7k 1.3×	449 0.6×	275 0.9×	66 0.4×	70 0.5×	46	2.6k
Baldo Oliva Spain	29	1.9k 1.5×	381 0.5×	140 0.5×	44 0.3×	107 0.7×	90	2.5k
Luana Licata Italy	17	1.9k 1.4×	464 0.7×	183 0.6×	116 0.8×	19 0.1×	49	2.3k
Richard E. Higgs United States	29	1.3k 1.0×	424 0.6×	99 0.3×	255 1.7×	61 0.4×	70	3.0k
Sandra Orchard United Kingdom	31	2.6k 2.0×	183 0.3×	333 1.1×	38 0.3×	100 0.7×	118	3.2k
Christie Chang United States	11	2.9k 2.3×	505 0.7×	279 0.9×	28 0.2×	54 0.4×	13	3.5k
Nurcan Tunçbağ Türkiye	22	1.9k 1.5×	530 0.8×	204 0.7×	24 0.2×	310 2.1×	50	2.4k
Jennifer Rust United States	9	3.4k 2.7×	641 0.9×	314 1.0×	30 0.2×	59 0.4×	11	4.1k
Jérôme Wojcik Switzerland	18	1.8k 1.4×	238 0.3×	68 0.2×	157 1.0×	124 0.8×	41	2.6k
Esti Yeger‐Lotem Israel	24	1.6k 1.2×	162 0.2×	157 0.5×	90 0.6×	29 0.2×	44	2.1k

Countries citing papers authored by Feng Huang

Since Specialization

Citations

This map shows the geographic impact of Feng 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 Feng Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Huang more than expected).

Fields of papers citing papers by Feng Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng 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 Feng Huang. The network helps show where Feng Huang may publish in the future.

Co-authorship network of co-authors of Feng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Huang. A scholar is included among the top collaborators of Feng 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 Feng Huang. Feng Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cao, Xiaoli, Yuanyuan Li, Wei Zhu, et al.. (2025). FGFR3 signaling is essential for gastric cancer cell triggering the transition of BM-MSCs into tumor-associated MSCs. Differentiation. 143. 100859–100859. 1 indexed citations

Huang, Feng, et al.. (2025). DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data. Advanced Science. 12(13). e2412533–e2412533. 2 indexed citations

Chen, Wenjun, Feng Huang, Baoyi Chen, et al.. (2024). BMSC Derived Exosomes Attenuate Apoptosis of Temporomandibular Joint Disc Chondrocytes in TMJOA via PI3K/AKT Pathway. Stem Cell Reviews and Reports. 21(2). 491–508. 2 indexed citations

Zhang, Yanming, Zhiwei Du, Shuiping Ouyang, et al.. (2024). Influence of phloretin on acrolein-induced protein modification and physicochemical changes in a dairy protein model. Food Chemistry X. 24. 102027–102027. 1 indexed citations

Wang, Yongkang, et al.. (2024). A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 3–11. 2 indexed citations

Fu, Haitao, Yuyang Wu, Feng Huang, et al.. (2023). HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction. Briefings in Bioinformatics. 24(5). 27 indexed citations

Huang, Feng, et al.. (2023). Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction. 4829–4837. 11 indexed citations

Huang, Feng, et al.. (2020). Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization. Frontiers in Bioengineering and Biotechnology. 8. 218–218. 18 indexed citations

Zhang, Wen, et al.. (2018). Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network. Methods. 145. 51–59. 72 indexed citations

10.

Zhang, Wen, Xiang Yue, Wenjian Wu, et al.. (2018). Predicting drug-disease associations by using similarity constrained matrix factorization. BMC Bioinformatics. 19(1). 233–233. 208 indexed citations

11.

Wang, Mu‐Chun, Hui Shi, Xiaoyu Zhang, et al.. (2014). Deregulated microRNAs in gastric cancer tissue-derived mesenchymal stem cells: novel biomarkers and a mechanism for gastric cancer. British Journal of Cancer. 110(5). 1199–1210. 196 indexed citations

12.

Yang, Qiong, Feng Huang, Lihua Hu, & Zheng‐Guo He. (2012). Physical and functional interactions between 3-methyladenine DNA glycosylase and topoisomerase I in mycobacteria. Biochemistry (Moscow). 77(4). 378–387. 2 indexed citations

13.

Yang, Qiong, Yuanyuan Liu, Feng Huang, & Zheng‐Guo He. (2011). Physical and functional interaction between d-ribokinase and topoisomerase I has opposite effects on their respective activity in Mycobacterium smegmatis and Mycobacterium tuberculosis. Archives of Biochemistry and Biophysics. 512(2). 135–142. 10 indexed citations

14.

Huang, Feng & Zheng‐Guo He. (2010). Characterization of an interplay between a Mycobacterium tuberculosis MazF homolog, Rv1495 and its sole DNA topoisomerase I. Nucleic Acids Research. 38(22). 8219–8230. 36 indexed citations

15.

Huang, Feng, Lijia Xu, & Ganggang Shi. (2009). Antioxidant isolated from Schisandra propinqua (Wall.) Baill. Biological Research. 42(3). 351–6. 4 indexed citations

16.

Tremblay, Cédric S., Feng Huang, Caroline Huard, et al.. (2008). HES1 is a novel interactor of the Fanconi anemia core complex. Blood. 112(5). 2062–2070. 46 indexed citations

17.

Xu, Lijia, Feng Huang, Sibao Chen, et al.. (2006). A Cytotoxic Neolignan from Schisandra propinqua (Wall.) Baill.. Journal of Integrative Plant Biology. 48(12). 1493–1497. 17 indexed citations

18.

Bruce‐Keller, Annadora J., et al.. (2000). Antiinflammatory Effects of Estrogen on Microglial Activation¹. Endocrinology. 141(10). 3646–3656. 308 indexed citations

19.

Keller, Jeffrey N., Feng Huang, Hong Zhu, et al.. (2000). Oxidative Stress-Associated Impairment of Proteasome Activity during Ischemia–Reperfusion Injury. Journal of Cerebral Blood Flow & Metabolism. 20(10). 1467–1473. 127 indexed citations

20.

Keller, Jeffrey N., Feng Huang, Edgardo Dimayuga, & William F. Maragos. (2000). Dopamine induces proteasome inhibition in neural PC12 cell line. Free Radical Biology and Medicine. 29(10). 1037–1042. 79 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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