Chen Li

5.1k total citations
192 papers, 3.6k citations indexed

About

Chen Li is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Chen Li has authored 192 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 27 papers in Immunology and 21 papers in Genetics. Recurrent topics in Chen Li's work include Machine Learning in Bioinformatics (23 papers), Genomics and Phylogenetic Studies (23 papers) and RNA and protein synthesis mechanisms (15 papers). Chen Li is often cited by papers focused on Machine Learning in Bioinformatics (23 papers), Genomics and Phylogenetic Studies (23 papers) and RNA and protein synthesis mechanisms (15 papers). Chen Li collaborates with scholars based in China, Australia and United States. Chen Li's co-authors include Jiangning Song, Fuyi Li, Geoffrey I. Webb, Tatsuya Akutsu, Anthony W. Purcell, Trevor Lithgow, David M. Lubman, André Leier, Tatiana T. Marquez‐Lago and Kuo‐Chen Chou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Chen Li

182 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Li China 33 2.2k 393 350 290 257 192 3.6k
Tiziano Gallo Cassarino United Kingdom 9 2.5k 1.1× 306 0.8× 496 1.4× 398 1.4× 224 0.9× 11 4.0k
Christopher T. Workman Denmark 37 4.4k 2.0× 402 1.0× 614 1.8× 781 2.7× 173 0.7× 96 6.0k
Tzong-Yi Lee Taiwan 40 3.7k 1.7× 367 0.9× 860 2.5× 191 0.7× 359 1.4× 119 4.9k
Francisco Melo Chile 26 4.0k 1.8× 260 0.7× 470 1.3× 396 1.4× 271 1.1× 70 5.5k
Feng Gao China 36 3.2k 1.4× 436 1.1× 724 2.1× 631 2.2× 183 0.7× 232 5.3k
Hao Luo China 28 3.6k 1.6× 190 0.5× 257 0.7× 423 1.5× 467 1.8× 66 4.5k
Hyun Lee United States 32 1.7k 0.8× 514 1.3× 246 0.7× 191 0.7× 406 1.6× 133 3.8k
Chien‐Yu Chen Taiwan 34 2.3k 1.0× 1.1k 2.7× 403 1.2× 241 0.8× 290 1.1× 198 5.2k
Jason A. Papin United States 47 5.9k 2.7× 190 0.5× 201 0.6× 581 2.0× 246 1.0× 141 7.2k
Leszek Rychlewski Poland 43 5.3k 2.4× 381 1.0× 409 1.2× 692 2.4× 304 1.2× 126 6.8k

Countries citing papers authored by Chen Li

Since Specialization
Citations

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

Fields of papers citing papers by Chen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Li. A scholar is included among the top collaborators of Chen Li 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 Chen Li. Chen Li 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.
Yang, Wei, Xichao Ou, Bing Zhao, et al.. (2025). High-Level Primary Pretomanid-Resistant with ddn In-Frame Deletion of Mycobacterium tuberculosis and Its Association with Lineage 4.5 in China. ACS Omega. 10(25). 26551–26559. 1 indexed citations
2.
Li, Chen, Markus Rottmar, Bettina Sobottka, et al.. (2025). Delineation of signaling routes that underlie differences in macrophage phenotypic states. PubMed. 2(2). ugaf013–ugaf013.
3.
Croft, Nathan P., et al.. (2025). Immunolyser 2.0: An advanced computational pipeline for comprehensive analysis of immunopeptidomic data. Computational and Structural Biotechnology Journal. 29. 296–304.
4.
Wang, Wei, Kai Lü, Qianqian Du, et al.. (2024). Association between depressive duration and cognitive decline in middle-aged and older adults: Evidence from the Health and Retirement Study 2010–2018. Journal of Affective Disorders. 364. 286–294. 2 indexed citations
5.
Guo, Xudong, Heyun Sun, Yue Bi, et al.. (2024). MERITS: a web-based integrated Mycobacterial PE/PPE protein database. Bioinformatics Advances. 4(1). vbae035–vbae035. 1 indexed citations
6.
7.
Chen, Ruyi, Fuyi Li, Xudong Guo, et al.. (2023). ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species. Briefings in Bioinformatics. 24(3). 18 indexed citations
8.
Zhang, Yumeng, Chen Li, Zhikang Wang, et al.. (2023). DeepSecE: A Deep-Learning-Based Framework for Multiclass Prediction of Secreted Proteins in Gram-Negative Bacteria. Research. 6. 258–258. 7 indexed citations
9.
Revote, Jerico, Sri H. Ramarathinam, Pouya Faridi, et al.. (2023). Immunolyser: A web-based computational pipeline for analysing and mining immunopeptidomic data. Computational and Structural Biotechnology Journal. 21. 1678–1687. 6 indexed citations
10.
Xu, Jing, Chen Li, Jian Li, et al.. (2023). Multi-modality data-driven analysis of diagnosis and treatment of psoriatic arthritis. npj Digital Medicine. 6(1). 13–13. 7 indexed citations
11.
Li, Chen, Yue Bi, Zhikang Wang, et al.. (2023). PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. Bioinformatics. 39(3). 27 indexed citations
12.
Li, Chen, Yiwen Zhang, Zhikang Wang, et al.. (2023). MULGA, a unified multi-view graph autoencoder-based approach for identifying drug–protein interaction and drug repositioning. Bioinformatics. 39(9). 1 indexed citations
13.
Ge, Fang, Chen Li, Shahid Iqbal, et al.. (2022). VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants. Briefings in Bioinformatics. 24(1). 18 indexed citations
14.
Sharma, Varun, Andrea Fossati, Rodolfo Ciuffa, et al.. (2022). PCfun: a hybrid computational framework for systematic characterization of protein complex function. Briefings in Bioinformatics. 23(4). 1 indexed citations
15.
Fossati, Andrea, Chen Li, Federico Uliana, et al.. (2021). PCprophet: a framework for protein complex prediction and differential analysis using proteomic data. Nature Methods. 18(5). 520–527. 43 indexed citations
16.
Li, Chen, Jerico Revote, Sri H. Ramarathinam, et al.. (2021). Resourcing, annotating, and analysing synthetic peptides of SARS‐CoV‐2 for immunopeptidomics and other immunological studies. PROTEOMICS. 21(17-18). e2100036–e2100036. 5 indexed citations
17.
Faridi, Pouya, Katherine Woods, Simone Ostrouska, et al.. (2020). Spliced Peptides and Cytokine-Driven Changes in the Immunopeptidome of Melanoma. Cancer Immunology Research. 8(10). 1322–1334. 41 indexed citations
18.
Li, Chen, Jason M. Pogue, Varun Sharma, et al.. (2020). Correction: ColistinDose, a Mobile App for Determining Intravenous Dosage Regimens of Colistimethate in Critically Ill Adult Patients: Clinician-Centered Design and Development Study. JMIR mhealth and uhealth. 8(12). e26593–e26593. 1 indexed citations
19.
Li, Mengyao, Maizbha Uddin Ahmed, Mei‐Ling Han, et al.. (2020). Pan-transcriptomic analysis identified common differentially expressed genes of Acinetobacter baumannii in response to polymyxin treatments. Molecular Omics. 16(4). 327–338. 8 indexed citations
20.
Li, Chen, Xiaofeng Wang, Zhen Chen, Ziding Zhang, & Jiangning Song. (2014). Computational characterization of parallel dimeric and trimeric coiled-coils using effective amino acid indices. Molecular BioSystems. 11(2). 354–360. 16 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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