Chuming Chen

33.8k total citations
62 papers, 1.6k citations indexed

About

Chuming Chen is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Chuming Chen has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Chuming Chen's work include Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (11 papers) and Biomedical Text Mining and Ontologies (8 papers). Chuming Chen is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (11 papers) and Biomedical Text Mining and Ontologies (8 papers). Chuming Chen collaborates with scholars based in United States, China and France. Chuming Chen's co-authors include Cathy Wu, Hongzhan Huang, Dong Jia, Dongsheng Cai, Shimin Wu, Huafu Lu, Sari Khaleel, Barış Ethem Süzek, Peter B. McGarvey and Raja Mazumder and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Chuming Chen

56 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuming Chen United States 23 770 377 193 109 108 62 1.6k
Yulin Liu China 16 365 0.5× 193 0.5× 117 0.6× 87 0.8× 106 1.0× 45 1.0k
Hongtao Li China 23 962 1.2× 143 0.4× 81 0.4× 98 0.9× 89 0.8× 100 1.9k
Hiroshi Ishii Japan 22 312 0.4× 250 0.7× 52 0.3× 151 1.4× 58 0.5× 142 1.6k
Kenichi Ishii Japan 26 513 0.7× 259 0.7× 57 0.3× 168 1.5× 108 1.0× 99 2.0k
Ying Feng China 16 854 1.1× 105 0.3× 29 0.2× 90 0.8× 432 4.0× 57 1.5k
Fan Feng China 17 391 0.5× 223 0.6× 175 0.9× 160 1.5× 138 1.3× 64 1.2k
Satoshi Hirano Japan 22 527 0.7× 176 0.5× 17 0.1× 65 0.6× 127 1.2× 85 1.4k
J. C. Gupta India 19 683 0.9× 270 0.7× 22 0.1× 91 0.8× 80 0.7× 102 1.4k
Mihoko Takahashi Japan 20 1.2k 1.6× 117 0.3× 54 0.3× 183 1.7× 570 5.3× 80 2.5k
Yoichi Noda Japan 35 1.8k 2.4× 105 0.3× 85 0.4× 492 4.5× 284 2.6× 141 4.2k

Countries citing papers authored by Chuming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chuming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chuming Chen. A scholar is included among the top collaborators of Chuming 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 Chuming Chen. Chuming 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.
Liu, Zhuo, Jiaojiao Zhu, Qiuyue Zhao, et al.. (2025). Genetic mapping and isolation of Rht28, a locus on wheat chromosome arm 2AL affecting plant height, grain size, and grain weight. Theoretical and Applied Genetics. 138(9). 218–218.
2.
Ross, Karen, et al.. (2024). KSMoFinder—knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites. Bioinformatics Advances. 5(1). vbaf289–vbaf289.
3.
Jiang, Mingming, Yao Zhang, Chuming Chen, Lin He, & Shengchun Li. (2024). Management of Helicoverpa armigera via plant-mediated RNA interference, progresses and challenges. Crop Protection. 190. 107101–107101. 2 indexed citations
4.
5.
Chen, Chuming, Weiming Yao, Ling Peng, et al.. (2024). Successful treatment of severe monkeypox case with advanced HIV infection using plasma from smallpox‐vaccinated healthy population: A case report. SHILAP Revista de lepidopterología. 2(1). 60–66. 1 indexed citations
6.
Ross, Karen, et al.. (2022). A knowledge graph representation learning approach to predict novel kinase–substrate interactions. Molecular Omics. 18(9). 853–864. 4 indexed citations
7.
Ross, Karen, et al.. (2022). iPTMnet RESTful API for Post-translational Modification Network Analysis. Methods in molecular biology. 2499. 187–204.
8.
Wang, Yuqi, Qinghua Wang, Hongzhan Huang, et al.. (2021). A crowdsourcing open platform for literature curation in UniProt. PLoS Biology. 19(12). e3001464–e3001464. 89 indexed citations
9.
Zhang, Peiyan, Zhao Cai, Weibo Wu, et al.. (2020). The novel coronavirus (COVID-19) pneumonia with negative detection of viral ribonucleic acid from nasopharyngeal swabs: a case report. BMC Infectious Diseases. 20(1). 12 indexed citations
10.
Chen, Chuming, Haihui Wang, Zhichao Liang, et al.. (2020). Predicting Illness Severity and Short-Term Outcomes of COVID-19: A Retrospective Cohort Study in China. The Innovation. 1(1). 100007–100007. 22 indexed citations
11.
Chen, Qiong, et al.. (2019). Clinical and molecular genetic characterizations of 7 children with X-linked adrenal hypoplasia congenital. Zhonghua shiyong erke linchuang zazhi. 34(8). 595–598. 2 indexed citations
12.
Li, Jin, Chuming Chen, Jinli Wei, et al.. (2019). Delayed peak of human infections and ongoing reassortment of H7N9 avian influenza virus in the newly affected western Chinese provinces during Wave Five. International Journal of Infectious Diseases. 88. 80–87. 3 indexed citations
13.
Huang, Liang‐Chin, Karen Ross, Timothy R. Baffi, et al.. (2018). Integrative annotation and knowledge discovery of kinase post-translational modifications and cancer-associated mutations through federated protein ontologies and resources. Scientific Reports. 8(1). 23 indexed citations
14.
Zhou, Fuyuan, et al.. (2013). [Association between APOBEC3G polymorphisms and susceptibility to chronic hepatitis B].. PubMed. 33(5). 769–71. 1 indexed citations
15.
Wang, Qi, Cecilia N. Arighi, Benjamin L. King, et al.. (2012). Community annotation and bioinformatics workforce development in concert--Little Skate Genome Annotation Workshops and Jamborees. Database. 2012(0). bar064–bar064. 50 indexed citations
16.
Wu, Cathy & Chuming Chen. (2010). Bioinformatics for Comparative Proteomics. Methods in molecular biology. 20 indexed citations
17.
McGarvey, Peter B., Hongzhan Huang, Raja Mazumder, et al.. (2009). Systems Integration of Biodefense Omics Data for Analysis of Pathogen-Host Interactions and Identification of Potential Targets. PLoS ONE. 4(9). e7162–e7162. 16 indexed citations
18.
Chen, Chuming & Manton M. Matthews. (2008). Metrics for Evaluating the Semantic Implications of Changes in Evolving Ontologies.. 76–82. 1 indexed citations
19.
Chen, Chuming & Manton M. Matthews. (2004). A Web Interface for Nessus Network Security Scanner.. International Conference on Internet Computing. 383–389. 1 indexed citations
20.
Lu, Huafu, et al.. (1998). ON THE KALPIN TRANSPRESSION TECTONICS OF NORTHWEST TARIM. Gaoxiao dizhi xuebao. 4(1). 49. 8 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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