Yu Ma

5.4k total citations
171 papers, 3.1k citations indexed

About

Yu Ma is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Yu Ma has authored 171 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 26 papers in Epidemiology and 22 papers in Infectious Diseases. Recurrent topics in Yu Ma's work include Wound Healing and Treatments (13 papers), Diabetic Foot Ulcer Assessment and Management (13 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). Yu Ma is often cited by papers focused on Wound Healing and Treatments (13 papers), Diabetic Foot Ulcer Assessment and Management (13 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). Yu Ma collaborates with scholars based in China, United States and Singapore. Yu Ma's co-authors include Timothy C. Hall, David G. Armstrong, John W. Pyne, F. A. Bliss, S. M. Sun, David H. Gutmann, Lei Luo, Leslie M. Hoffman, Richard F. Barker and Siyuan Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Yu Ma

161 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ma China 34 814 557 358 332 313 171 3.1k
Pantelis G. Bagos Greece 38 2.0k 2.4× 425 0.8× 171 0.5× 79 0.2× 382 1.2× 160 4.8k
Xu Wang China 29 961 1.2× 825 1.5× 126 0.4× 133 0.4× 221 0.7× 136 3.8k
Fang Li China 30 940 1.2× 1.6k 3.0× 124 0.3× 182 0.5× 686 2.2× 176 4.5k
Tae Hyong Kim South Korea 37 1.2k 1.5× 894 1.6× 262 0.7× 182 0.5× 1.2k 3.9× 343 5.6k
Fuzhong Xue China 34 811 1.0× 565 1.0× 89 0.2× 117 0.4× 889 2.8× 244 4.3k
Yingxia Liu China 33 1.0k 1.3× 2.3k 4.1× 269 0.8× 363 1.1× 1.4k 4.5× 188 5.7k
Andrew Roddam United Kingdom 33 554 0.7× 218 0.4× 105 0.3× 644 1.9× 415 1.3× 55 4.2k
Gary An United States 35 1.5k 1.8× 220 0.4× 80 0.2× 358 1.1× 606 1.9× 176 4.2k

Countries citing papers authored by Yu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ma. A scholar is included among the top collaborators of Yu Ma 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 Yu Ma. Yu Ma 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.
Wei, Meng, Min Ye, Chuanwei Zhang, et al.. (2025). Physics-informed attention networks for state-of-charge estimation in electric heavy-duty vehicles on steep slopes. Journal of Power Sources. 656. 238114–238114.
2.
Ma, Yu, et al.. (2024). The advancing role of fluorogens with AIE characteristics in drug screening. TrAC Trends in Analytical Chemistry. 180. 117886–117886. 6 indexed citations
3.
Rui, Shunli, Min He, Fan Xu, et al.. (2024). Exosomal miRNA-26b-5p from PRP suppresses NETs by targeting MMP-8 to promote diabetic wound healing. Journal of Controlled Release. 372. 221–233. 42 indexed citations
4.
Rui, Shunli, Yu Ma, Wei Hao, et al.. (2024). Accelerating diabetic wound healing with Ramulus Mori (Sangzhi) alkaloids via NRF2/HO-1/eNOS pathway. Phytomedicine. 134. 155990–155990. 15 indexed citations
5.
Wang, Yuning, Minghong Yao, Jiali Liu, et al.. (2024). Adaptive designs were primarily used but inadequately reported in early phase drug trials. BMC Medical Research Methodology. 24(1). 130–130. 1 indexed citations
6.
Zhang, Jiaqi, Zhaohui Zhang, Chenxi Zhu, et al.. (2024). Protective efficacy of a recombinant adenovirus expressing novel dual F and HN proteins of bovine parainfluenza virus type 3. Veterinary Research. 55(1). 144–144. 1 indexed citations
7.
Ma, Yu, et al.. (2024). Mitochondrial energy metabolism-related gene signature as a prognostic indicator for pancreatic adenocarcinoma. Frontiers in Pharmacology. 15. 1 indexed citations
8.
Yu, Ning, Haijun Liu, Zhijie Zhang, et al.. (2023). Dual roles derived from lattice incorporation of Cl- in ultrathin LiCoO2-xClx for water elelctrolysis. Fuel. 357. 129786–129786. 7 indexed citations
9.
Wang, Chao, Yujuan Wang, Yunfei Dai, & Yu Ma. (2023). Event‐triggered adaptive control of strict‐feedback nonlinear systems under output constraints and unknown control direction. International Journal of Robust and Nonlinear Control. 33(11). 5871–5891. 5 indexed citations
10.
Yang, Yongtao, et al.. (2021). Correlation between Intestinal Flora and Serum Inflammatory Factors in Post-stroke Depression in Ischemic Stroke. Journal of College of Physicians And Surgeons Pakistan. 31(10). 1224–1227. 27 indexed citations
11.
Tao, Shasha, Youjing Yang, Jianzhong Li, Hongyan Wang, & Yu Ma. (2021). Bixin Attenuates High‐Fat Diet‐Caused Liver Steatosis and Inflammatory Injury through Nrf2/PPARα Signals. Oxidative Medicine and Cellular Longevity. 2021(1). 6610124–6610124. 17 indexed citations
12.
Li, Xiaoxue, Mingyue Hu, Yu Ma, et al.. (2020). CircRHOT1 mediated cell proliferation, apoptosis and invasion of pancreatic cancer cells by sponging miR‐125a‐3p. Journal of Cellular and Molecular Medicine. 24(17). 9881–9889. 19 indexed citations
13.
Jiang, Xian, Li N, Cheng Yang, et al.. (2020). Limb Salvage and Prevention of Ulcer Recurrence in a Chronic Refractory Diabetic Foot Osteomyelitis. SHILAP Revista de lepidopterología.
14.
Hu, Peipei, Mengmeng Ma, Qinlong Jing, et al.. (2020). Retrospective study identifies infection related risk factors in close contacts during COVID-19 epidemic. International Journal of Infectious Diseases. 103. 395–401. 23 indexed citations
15.
Wang, Huaiyu, et al.. (2020). [Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].. PubMed. 54(12). 1465–1468. 1 indexed citations
16.
Ma, Yu, et al.. (2020). Risk factors of 2019 novel coronavirus infection among close contacts in Guangzhou city. 36(4). 507–511. 1 indexed citations
17.
Ma, Yu, Min Wang, Tao Wang, et al.. (2019). <p>Platelet-rich plasma plays an antibacterial, anti-inflammatory and cell proliferation-promoting role in an in vitro model for diabetic infected wounds</p>. Infection and Drug Resistance. Volume 12. 297–309. 51 indexed citations
18.
Fu, Shuang, Xiaodong Xu, Yu Ma, Shubiao Zhang, & Shufen Zhang. (2018). RGD peptide-based non-viral gene delivery vectors targeting integrin α v β 3 for cancer therapy. Journal of drug targeting. 27(1). 1–11. 101 indexed citations
19.
Chen, Huiying, Yu Ma, Yinan Zhao, et al.. (2018). Dual stimuli-responsive saccharide core based nanocarrier for efficient Birc5-shRNA delivery. Journal of Materials Chemistry B. 6(45). 7530–7542. 7 indexed citations
20.
Li, Sha, Chuanhe Liu, Shuo Li, et al.. (2015). [The prevalence of asthma in children: a comparison between the year of 2010 and 2000 in urban China].. PubMed. 38(9). 664–8. 15 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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