Hong Chen

17.7k total citations
518 papers, 9.6k citations indexed

About

Hong Chen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Hong Chen has authored 518 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 275 papers in Molecular Biology, 195 papers in Genetics and 148 papers in Cancer Research. Recurrent topics in Hong Chen's work include Cancer-related molecular mechanisms research (126 papers), Genetic and phenotypic traits in livestock (122 papers) and Genetic Mapping and Diversity in Plants and Animals (55 papers). Hong Chen is often cited by papers focused on Cancer-related molecular mechanisms research (126 papers), Genetic and phenotypic traits in livestock (122 papers) and Genetic Mapping and Diversity in Plants and Animals (55 papers). Hong Chen collaborates with scholars based in China, United States and Pakistan. Hong Chen's co-authors include Chuzhao Lei, Xianyong Lan, Yongzhen Huang, Xianyong Lan, Tianli Yue, Yahong Yuan, Mingxun Li, Yun Ji, Yue Yin and Weizhen Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hong Chen

501 papers receiving 9.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Chen China 47 4.7k 2.5k 2.5k 751 748 518 9.6k
Peter J. Oefner Germany 56 7.5k 1.6× 2.3k 0.9× 1.6k 0.7× 499 0.7× 171 0.2× 217 12.9k
Yong Q. Chen China 61 6.8k 1.5× 2.0k 0.8× 1.0k 0.4× 936 1.2× 360 0.5× 387 12.5k
Liang Li China 38 3.2k 0.7× 1.0k 0.4× 808 0.3× 671 0.9× 609 0.8× 473 7.0k
Andrea Scaloni Italy 63 7.4k 1.6× 533 0.2× 1.3k 0.5× 865 1.2× 490 0.7× 403 13.5k
Nagarjuna Nagaraj Germany 30 11.9k 2.5× 980 0.4× 1.1k 0.4× 1.2k 1.6× 268 0.4× 39 17.2k
Shujiro Okuda Japan 35 8.4k 1.8× 1.1k 0.4× 1.3k 0.5× 597 0.8× 167 0.2× 184 14.3k
Jacek R. Wiśniewski Germany 51 12.4k 2.6× 1.2k 0.5× 971 0.4× 1.1k 1.5× 250 0.3× 174 18.2k
Davide Heller Switzerland 5 7.7k 1.6× 1.4k 0.5× 1.2k 0.5× 501 0.7× 112 0.1× 6 12.3k
Martin R. Larsen Denmark 59 8.4k 1.8× 791 0.3× 872 0.3× 751 1.0× 355 0.5× 260 13.0k
Susan A. Elmore United States 28 6.2k 1.3× 1.3k 0.5× 628 0.3× 596 0.8× 168 0.2× 89 13.0k

Countries citing papers authored by Hong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Chen. A scholar is included among the top collaborators of Hong Chen 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 Hong Chen. Hong Chen 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.
He, Jianbo, Hong Chen, Kaiming Duan, et al.. (2025). Gene signatures associated with exosomes as diagnostic markers of postpartum depression and their role in immune infiltration. Frontiers in Endocrinology. 16. 1542327–1542327.
2.
Wang, Yijie, Yi Xing, & Hong Chen. (2025). Chemical looping gasification of microalgae biomass with Fe-based oxygen carrier for gas production and kinetic behavior. Chemical Engineering and Processing - Process Intensification. 210. 110215–110215. 1 indexed citations
3.
Li, Peixian, Yanmei Yang, Guanghua Wu, et al.. (2025). EPS8L2 drives colorectal cancer cell proliferation and migration via YBX1-dependent activation of G3BP2 transcription. Cell Death and Disease. 16(1). 605–605.
4.
Dai, Jie, Xue-Gong Li, Hong Chen, et al.. (2024). Illuminating a bacterial adaptation mechanism: Infrared-driven cell division in deep-sea hydrothermal vent environments. SPIRE - Sciences Po Institutional REpository. 2(1). 100050–100050. 2 indexed citations
5.
Wang, Dan, Haiyan Yang, Shengchao Ma, et al.. (2024). Transcriptomic Changes and Regulatory Networks Associated with Resistance to Mastitis in Xinjiang Brown Cattle. Genes. 15(4). 465–465. 3 indexed citations
6.
Li, Wenting, Nian Wang, Xin Lv, et al.. (2024). Mass spectrometry unveils heat-induced changes in yolk oxylipins and key lipid molecules during home cooking. Journal of Advanced Research. 74. 73–86. 1 indexed citations
7.
Shen, Jiafei, Xiaoting Xia, Luyang Sun, et al.. (2023). Genome-wide association study reveals that the IBSP locus affects ear size in cattle. Heredity. 130(6). 394–401. 4 indexed citations
8.
Wang, Junjie, Hui Zhou, Li Yang, et al.. (2023). Design, synthesis and evaluation of benzo[cd]indol-2(1H)-one-donepezil hybrids as cholinesterase inhibitors and living cell imaging agents. Journal of Molecular Structure. 1285. 135511–135511. 2 indexed citations
9.
Bai, Yangyang, Quratulain Hanif, Hong Chen, et al.. (2022). Goat CLSTN2 gene: tissue expression profile, genetic variation, and its associations with litter size. Animal Biotechnology. 34(7). 2674–2683. 7 indexed citations
10.
Hao, Dan, Xiaogang Wang, Xiao Wang, et al.. (2020). Transcriptomic changes in bovine skeletal muscle cells after resveratrol treatment. Gene. 754. 144849–144849. 9 indexed citations
11.
Chen, Ningbo, Weiwei Fu, Jiafei Shen, et al.. (2020). BGVD: An Integrated Database for Bovine Sequencing Variations and Selective Signatures. Genomics Proteomics & Bioinformatics. 18(2). 186–193. 52 indexed citations
13.
Li, Yang, Weizhong Sun, Rui An, et al.. (2019). Effects of dietary calcium pyruvate on gastrointestinal tract development, intestinal health and growth performance of newly weaned piglets fed low‐protein diets. Journal of Applied Microbiology. 128(2). 355–365. 17 indexed citations
14.
Zhang, Yajie, Zan Yue, Hong Chen, et al.. (2019). Bone Marrow Mesenchymal Stem Cells Encapsulated in a Hydrogel System via Bioorthogonal Chemistry for Liver Regeneration. ACS Applied Bio Materials. 2(6). 2444–2452. 7 indexed citations
16.
Rao, Huiying, Lai Wei, Hong Li, et al.. (2015). Prevalence of abnormal glycometabolism in treatment‐naive patients with hepatitis C virus infection in a C hinese H an population. Journal of Gastroenterology and Hepatology. 30(6). 1049–1056. 5 indexed citations
17.
Chen, Hong. (2012). Association between Polymorphism of Lpin1 Gene and Bovine Economic Traits. Xibei nongye xuebao. 1 indexed citations
18.
Lei, Chuzhao, Hucai Zhang, R. Liu, et al.. (2007). African Maternal Origin and Genetic Diversity of Chinese Domestic Donkeys. Asian-Australasian Journal of Animal Sciences. 20(5). 645–652. 22 indexed citations
19.
Zhang, Zhengfeng, Hong Chen, & Qiuling Li. (2007). Study on the Polymorphism in Exon2 of Insulin-like Growth Factor 2 Gene and Its Relationship with Several Growth Traits in Nanyang Cattle. 2 indexed citations
20.
Zhang, Ailing, Yuehui Ma, Chen Xiumei, & Hong Chen. (2005). Effect of the different numbers of microsatellite loci on the accuracy of Nei's standard genetic distance estimation. Xumu shouyi xuebao. 36(5). 431–433.

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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