Pan Ma

1.2k total citations
33 papers, 906 citations indexed

About

Pan Ma is a scholar working on Molecular Biology, Analytical Chemistry and Oncology. According to data from OpenAlex, Pan Ma has authored 33 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Analytical Chemistry and 4 papers in Oncology. Recurrent topics in Pan Ma's work include Metabolomics and Mass Spectrometry Studies (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and Analytical Chemistry and Chromatography (4 papers). Pan Ma is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and Analytical Chemistry and Chromatography (4 papers). Pan Ma collaborates with scholars based in China, United States and Norway. Pan Ma's co-authors include Yi‐Zeng Liang, Xiaofen Zheng, Jérry Y. Niederkorn, Michael E. Stern, Stephen C. Pflugfelder, Biao Fang, William J. Farley, Suksri Chotikavanich, Karyn F. Siemasko and John D. Pitcher and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Chromatography A.

In The Last Decade

Pan Ma

30 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Ma China 14 306 202 182 140 105 33 906
Emily G. Armitage Spain 20 103 0.3× 1.0k 5.2× 63 0.3× 36 0.3× 177 1.7× 33 1.5k
Na Chen China 25 97 0.3× 621 3.1× 43 0.2× 44 0.3× 74 0.7× 73 2.3k
Mingxin Li China 22 46 0.2× 426 2.1× 25 0.1× 47 0.3× 92 0.9× 98 1.4k
Xiaojin Shi China 26 80 0.3× 716 3.5× 94 0.5× 41 0.3× 36 0.3× 91 2.2k
Wenjie Wang China 19 44 0.1× 493 2.4× 20 0.1× 45 0.3× 45 0.4× 58 1.5k
Di Chen China 21 162 0.5× 416 2.1× 7 0.0× 342 2.4× 78 0.7× 96 1.4k
Jian Qin United States 28 119 0.4× 628 3.1× 10 0.1× 524 3.7× 110 1.0× 79 2.7k
Stephanie L. Barnes United States 22 88 0.3× 284 1.4× 16 0.1× 424 3.0× 79 0.8× 42 2.0k
Pei Zhang China 19 69 0.2× 389 1.9× 13 0.1× 260 1.9× 83 0.8× 112 1.4k
Juan Shen China 23 37 0.1× 658 3.3× 57 0.3× 186 1.3× 173 1.6× 98 1.7k

Countries citing papers authored by Pan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Pan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Ma. A scholar is included among the top collaborators of Pan 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 Pan Ma. Pan 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.
Ma, Pan, et al.. (2025). Optimization method for determining vertices in lattice radiotherapy. Frontiers in Oncology. 15. 1582402–1582402.
2.
Liu, Ruixiang, Pan Ma, Dongxin Chen, et al.. (2025). A Real-Time Plasma Concentration Prediction Model for Voriconazole in Elderly Patients via Machine Learning Combined with Population Pharmacokinetics. Drug Design Development and Therapy. Volume 19. 4021–4037. 2 indexed citations
3.
Lan, Li, David K. Chang, Yu Wu, et al.. (2025). Dumbbell probe-bridged CRISPR/Cas13a and nicking-mediated DNA cascade reaction for highly sensitive detection of colorectal cancer-related microRNAs. Biosensors and Bioelectronics. 273. 117190–117190. 7 indexed citations
4.
Jiménez, Jesús, Junedh Amrute, Pan Ma, et al.. (2025). The immune checkpoint regulator CD40 potentiates myocardial inflammation. Nature Cardiovascular Research. 4(4). 458–472. 2 indexed citations
5.
Sun, Jing, et al.. (2024). Flow Characterization in Fractured Shale Oil Matrices Using Advanced Nuclear Magnetic Resonance Techniques. Processes. 12(5). 879–879. 1 indexed citations
6.
Zhang, Junqing, Pan Ma, Lei Wu, et al.. (2024). Identification of a recessive gene RgM4G52 conferring red glume, stem, and rachis in a Triticum boeoticum mutant. Frontiers in Plant Science. 15. 1459505–1459505.
7.
Ma, Pan, Huan Ma, Ruixiang Liu, et al.. (2024). Prediction of vancomycin plasma concentration in elderly patients based on multi-algorithm mining combined with population pharmacokinetics. Scientific Reports. 14(1). 27165–27165. 1 indexed citations
8.
Ma, Pan, Shenglan Shang, Yifan Huang, et al.. (2024). Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients. European Journal of Pharmaceutical Sciences. 201. 106876–106876. 3 indexed citations
9.
Xiao, Qiuping, Zhiwei Zhang, Xiaobo Shen, et al.. (2023). Combustion characteristics and reactions of stacked wet pulverized magnesium. Energy. 268. 126742–126742. 7 indexed citations
10.
Ma, Pan, Shenglan Shang, Wei Feng, et al.. (2023). Pharmacokinetic/pharmacodynamic comparison between generic and brand-name levofloxacin based on Monte Carlo simulation. Journal of Global Antimicrobial Resistance. 33. 120–129. 1 indexed citations
11.
Ma, Pan, et al.. (2022). Ocular adverse events associated with anti-VEGF therapy: A pharmacovigilance study of the FDA adverse event reporting system (FAERS). Frontiers in Pharmacology. 13. 1017889–1017889. 31 indexed citations
12.
Ma, Pan, Ruixiang Liu, Yu Gan, et al.. (2022). Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning. Frontiers in Medicine. 9. 808969–808969. 26 indexed citations
13.
Dmytrenko, Oleksandr, Adam L. Bailey, Pan Ma, et al.. (2022). Human Cardiac Pericytes Are Susceptible to SARS-CoV-2 Infection. JACC Basic to Translational Science. 8(2). 109–120. 22 indexed citations
14.
15.
Fan, Xiaqiong, et al.. (2020). Deep-Learning-Assisted multivariate curve resolution. Journal of Chromatography A. 1635. 461713–461713. 18 indexed citations
16.
Ma, Pan, et al.. (2019). Characterizing semen abnormality male infertility using non-targeted blood plasma metabolomics. PLoS ONE. 14(7). e0219179–e0219179. 24 indexed citations
17.
Li, Ying, Pan Ma, Jin Fu, Jingjing Wu, & Xue Wu. (2019). Combining an in silico approach with an animal experiment to investigate the protective effect of troxerutin for treating acute lung injury. BMC Complementary and Alternative Medicine. 19(1). 124–124. 11 indexed citations
18.
Ma, Kun, et al.. (2017). Fentanyl Suppresses the Survival of CD4+ T Cells Isolated from Human Umbilical Cord Blood through Inhibition of IKKs‐mediated NF‐κB Activation. Scandinavian Journal of Immunology. 85(5). 343–349. 11 indexed citations
19.
20.
Paiva, Cintia S. de, Suksri Chotikavanich, S. B. Pangelinan, et al.. (2009). IL-17 disrupts corneal barrier following desiccating stress. Mucosal Immunology. 2(3). 243–253. 343 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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