Ming Zeng

5.2k total citations · 1 hit paper
42 papers, 3.1k citations indexed

About

Ming Zeng is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Ming Zeng has authored 42 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Ming Zeng's work include HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (6 papers) and ECG Monitoring and Analysis (4 papers). Ming Zeng is often cited by papers focused on HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (6 papers) and ECG Monitoring and Analysis (4 papers). Ming Zeng collaborates with scholars based in China, United States and United Kingdom. Ming Zeng's co-authors include Glen Tetzloff, Nicholas Murgolo, Harry R. Davis, Andrei Golovko, Lizbeth Hoos, Luquan Wang, Li-Ji Zhu, Sai Prasad N. Iyer, S. Altmann and Maureen Maguire and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ming Zeng

37 papers receiving 3.0k citations

Hit Papers

Niemann-Pick C1 Like 1 Protein Is Critical for Intestinal... 2004 2026 2011 2018 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zeng China 18 1.2k 877 744 677 498 42 3.1k
Jeffrey L. Nordstrom United States 29 594 0.5× 1.9k 2.2× 689 0.9× 489 0.7× 168 0.3× 63 3.6k
Ping Chen China 35 362 0.3× 2.2k 2.6× 828 1.1× 906 1.3× 357 0.7× 189 4.7k
Anh Hoang Australia 25 809 0.7× 791 0.9× 262 0.4× 386 0.6× 89 0.2× 40 2.3k
Moon Kyoo Jang United States 28 402 0.3× 3.1k 3.5× 633 0.9× 617 0.9× 368 0.7× 65 4.5k
Sonia Moretti Italy 33 223 0.2× 1.3k 1.4× 709 1.0× 472 0.7× 404 0.8× 98 3.3k
Chise Tateno Japan 40 862 0.7× 1.3k 1.5× 912 1.2× 367 0.5× 71 0.1× 159 4.6k
Thierry Huby France 29 872 0.7× 905 1.0× 344 0.5× 808 1.2× 57 0.1× 61 3.2k
Yan Li China 31 976 0.8× 1.5k 1.7× 1.5k 2.1× 520 0.8× 80 0.2× 207 4.4k
Sunil K. Joshi United States 26 243 0.2× 805 0.9× 253 0.3× 775 1.1× 295 0.6× 77 2.6k

Countries citing papers authored by Ming Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zeng. A scholar is included among the top collaborators of Ming Zeng 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 Ming Zeng. Ming Zeng 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.
Zeng, Ming, Min Wang, Fuqiang Xie, & Zhiwei Ji. (2025). Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN. BMC Bioinformatics. 26(1). 200–200.
2.
Zeng, Ming, et al.. (2025). A high comprehensive performance ECG noise reduction architecture based on conditional generative adversarial net. Biomedical Signal Processing and Control. 111. 108316–108316.
4.
Zeng, Ming, et al.. (2023). A dynamic transfer network for cross-database atrial fibrillation detection. Biomedical Signal Processing and Control. 90. 105799–105799. 6 indexed citations
5.
Lan, Tian, Ming Zeng, Geng Tian, & Jingjing Xu. (2023). In-vitro quantitative measurement and analysis of the photosensitivity of cells to a weak pulse laser. Biomedical Optics Express. 14(7). 3584–3584.
6.
Zeng, Ming, et al.. (2023). A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networks. Heliyon. 9(7). e17726–e17726. 1 indexed citations
7.
Meng, Qiang, Tian Lan, Junhui Liu, et al.. (2023). A Mandarin Tone Recognition Algorithm Based on Random Forest and Feature Fusion †. Mathematics. 11(8). 1879–1879.
8.
Zeng, Ming, et al.. (2022). Loss Optimization Based Algorithm for Multi-classification of ECG Signal. 537–541. 2 indexed citations
9.
Zeng, Ming, et al.. (2022). An ECG Signal Denoising Method Using Conditional Generative Adversarial Net. IEEE Journal of Biomedical and Health Informatics. 26(7). 2929–2940. 50 indexed citations
10.
Medvedev, Alexander V., Matt Moeser, E. S. Martsen, et al.. (2022). Comprehensive assessment of NR ligand polypharmacology by a multiplex reporter NR assay. Scientific Reports. 12(1). 3115–3115. 8 indexed citations
11.
Xu, Jingjing, Ming Zeng, Xin Xu, et al.. (2021). A Micron-Sized Laser Photothermal Effect Evaluation System and Method. Sensors. 21(15). 5133–5133. 4 indexed citations
12.
Wang, Qianting, Ying Nie, Shengnan Sun, et al.. (2020). Tumor-associated antigen-based personalized dendritic cell vaccine in solid tumor patients. Cancer Immunology Immunotherapy. 69(7). 1375–1387. 111 indexed citations
13.
Medvedev, Alexander V., Matt Moeser, E. S. Martsen, et al.. (2018). Evaluating biological activity of compounds by transcription factor activity profiling. Science Advances. 4(9). eaar4666–eaar4666. 23 indexed citations
14.
Choi, Jin Huk, Kuan-Wen Wang, Duanwu Zhang, et al.. (2017). IgD class switching is initiated by microbiota and limited to mucosa-associated lymphoid tissue in mice. Proceedings of the National Academy of Sciences. 114(7). E1196–E1204. 40 indexed citations
15.
Burdick, Andrew D., Simone Sciabola, Srinivasa R. Mantena, et al.. (2014). Sequence motifs associated with hepatotoxicity of locked nucleic acid—modified antisense oligonucleotides. Nucleic Acids Research. 42(8). 4882–4891. 114 indexed citations
16.
Chen, Zhiwen, et al.. (2012). Total En Bloc Spondylectomy of L3 Vertebra for Histiocytic Sarcoma. Orthopedics. 35(4). e610–4. 4 indexed citations
17.
Zeng, Ming, Anthony J. Smith, Stephen W. Wietgrefe, et al.. (2011). Cumulative mechanisms of lymphoid tissue fibrosis and T cell depletion in HIV-1 and SIV infections. Journal of Clinical Investigation. 121(3). 998–1008. 238 indexed citations
18.
Estes, Jacob D., Shari N. Gordon, Ming Zeng, et al.. (2008). Early Resolution of Acute Immune Activation and Induction of PD-1 in SIV-Infected Sooty Mangabeys Distinguishes Nonpathogenic from Pathogenic Infection in Rhesus Macaques. The Journal of Immunology. 180(10). 6798–6807. 126 indexed citations
19.
Batzloff, Michael R., Wendy A. Hayman, Mark R. Davies, et al.. (2003). Protection against Group A Streptococcus by Immunization with J8–Diphtheria Toxoid: Contribution of J8‐ and Diphtheria Toxoid–Specific Antibodies to Protection. The Journal of Infectious Diseases. 187(10). 1598–1608. 144 indexed citations
20.
Zeng, Ming & Jonathan Knisely. (1999). Post-radiotherapy Myelitis Observed in an AIDS Patient with a Meningioma: Case Report and Review of the Literature. Journal of Neuro-Oncology. 45(2). 167–174. 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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