Min Ma

2.8k total citations
40 papers, 2.2k citations indexed

About

Min Ma is a scholar working on Pharmacology, Biological Psychiatry and Behavioral Neuroscience. According to data from OpenAlex, Min Ma has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 19 papers in Biological Psychiatry and 16 papers in Behavioral Neuroscience. Recurrent topics in Min Ma's work include Tryptophan and brain disorders (19 papers), Treatment of Major Depression (17 papers) and Stress Responses and Cortisol (16 papers). Min Ma is often cited by papers focused on Tryptophan and brain disorders (19 papers), Treatment of Major Depression (17 papers) and Stress Responses and Cortisol (16 papers). Min Ma collaborates with scholars based in Japan, China and United States. Min Ma's co-authors include Kenji Hashimoto, Chun Yang, Chao Dong, Wei Yao, Ji‐chun Zhang, Qian Ren, Qian Ren, Youge Qu, Yukihiko Shirayama and Jichun Zhang and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Scientific Reports.

In The Last Decade

Min Ma

38 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Ma Japan 26 1.4k 1.1k 778 575 525 40 2.2k
Lace M. Riggs United States 13 718 0.5× 784 0.7× 560 0.7× 435 0.8× 176 0.3× 19 1.7k
Neta Rimmerman United States 22 623 0.4× 1.5k 1.3× 608 0.8× 353 0.6× 561 1.1× 28 2.8k
Zhiqiang Zhou China 22 638 0.4× 593 0.5× 602 0.8× 273 0.5× 296 0.6× 53 1.9k
Satoshi Deyama Japan 19 510 0.4× 427 0.4× 621 0.8× 339 0.6× 253 0.5× 57 1.4k
Takashi Futamura Japan 19 565 0.4× 458 0.4× 517 0.7× 301 0.5× 407 0.8× 29 1.6k
Daniela Eser Germany 30 543 0.4× 357 0.3× 561 0.7× 836 1.5× 401 0.8× 73 2.3k
Beata Legutko Poland 25 376 0.3× 298 0.3× 742 1.0× 230 0.4× 356 0.7× 41 1.8k
Carl Björkholm Sweden 12 421 0.3× 331 0.3× 446 0.6× 208 0.4× 193 0.4× 14 1.1k
Johann Meunier France 24 318 0.2× 383 0.3× 541 0.7× 227 0.4× 866 1.6× 39 1.9k
Sean C. Piantadosi United States 14 394 0.3× 187 0.2× 522 0.7× 329 0.6× 360 0.7× 20 1.5k

Countries citing papers authored by Min Ma

Since Specialization
Citations

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

Fields of papers citing papers by Min Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Min Ma. A scholar is included among the top collaborators of Min 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 Min Ma. Min 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, Min, Jun Qu, Joshua Muia, et al.. (2025). Arginine Methylation by PRMT1 Affects ADAMTS13 Secretion and Enzymatic Activity. Arteriosclerosis Thrombosis and Vascular Biology. 45(4). 506–522.
2.
3.
Yuan, Wei, Yun Cheng, Min Ma, & Xuefeng Wang. (2023). Study on acoustic emission characteristics during shear deformation of rock structural planes based on particle flow code. Computational Particle Mechanics. 11(1). 105–118. 18 indexed citations
4.
Shen, Shichen, Xue Wang, Xiaoyu Zhu, et al.. (2022). High-quality and robust protein quantification in large clinical/pharmaceutical cohorts with IonStar proteomics investigation. Nature Protocols. 18(3). 700–731. 13 indexed citations
5.
Wang, Yulu, Shichao Gao, Victor Zheng, et al.. (2020). A Novel PDE4D Inhibitor BPN14770 Reverses Scopolamine-Induced Cognitive Deficits via cAMP/SIRT1/Akt/Bcl-2 Pathway. Frontiers in Cell and Developmental Biology. 8. 599389–599389. 32 indexed citations
6.
Zhou, Zhongyin, et al.. (2019). Effect of fecal microbiota transplantation on experimental colitis in mice. Experimental and Therapeutic Medicine. 17(4). 2581–2586. 25 indexed citations
7.
8.
Zhang, Kai, Hidetoh Toki, Yūkō Fujita, et al.. (2018). Lack of deuterium isotope effects in the antidepressant effects of (R)-ketamine in a chronic social defeat stress model. Psychopharmacology. 235(11). 3177–3185. 27 indexed citations
9.
Qu, Youge, Chun Yang, Qian Ren, et al.. (2017). Comparison of (R)-ketamine and lanicemine on depression-like phenotype and abnormal composition of gut microbiota in a social defeat stress model. Scientific Reports. 7(1). 15725–15725. 108 indexed citations
10.
Ma, Min, Qian Ren, Yūkō Fujita, et al.. (2017). Alterations in amino acid levels in mouse brain regions after adjunctive treatment of brexpiprazole with fluoxetine: comparison with (R)-ketamine. Psychopharmacology. 234(21). 3165–3173. 7 indexed citations
11.
Yang, Chun, Youge Qu, Yūkō Fujita, et al.. (2017). Possible role of the gut microbiota–brain axis in the antidepressant effects of (R)-ketamine in a social defeat stress model. Translational Psychiatry. 7(12). 1294–1294. 183 indexed citations
12.
Qu, Youge, Chun Yang, Qian Ren, et al.. (2017). Regional differences in dendritic spine density confer resilience to chronic social defeat stress. Acta Neuropsychiatrica. 30(2). 117–122. 50 indexed citations
13.
Zhang, Jichun, Wei Yao, Youge Qu, et al.. (2017). Increased EphA4-ephexin1 signaling in the medial prefrontal cortex plays a role in depression-like phenotype. Scientific Reports. 7(1). 7133–7133. 27 indexed citations
14.
Ma, Min, Qian Ren, Chun Yang, et al.. (2016). Antidepressant effects of combination of brexpiprazole and fluoxetine on depression-like behavior and dendritic changes in mice after inflammation. Psychopharmacology. 234(4). 525–533. 60 indexed citations
15.
16.
Ma, Min, Qian Ren, Chun Yang, et al.. (2016). Adjunctive treatment of brexpiprazole with fluoxetine shows a rapid antidepressant effect in social defeat stress model: Role of BDNF-TrkB signaling. Scientific Reports. 6(1). 39209–39209. 51 indexed citations
17.
Zhang, Ji‐chun, Wei Yao, Chao Dong, et al.. (2015). Comparison of ketamine, 7,8-dihydroxyflavone, and ANA-12 antidepressant effects in the social defeat stress model of depression. Psychopharmacology. 232(23). 4325–4335. 152 indexed citations
18.
Yang, Chun, Yukihiko Shirayama, Ji‐chun Zhang, et al.. (2015). R-ketamine: a rapid-onset and sustained antidepressant without psychotomimetic side effects. Translational Psychiatry. 5(9). e632–e632. 469 indexed citations
19.
Ren, Qian, Ji‐chun Zhang, Min Ma, et al.. (2013). 7,8-Dihydroxyflavone, a TrkB agonist, attenuates behavioral abnormalities and neurotoxicity in mice after administration of methamphetamine. Psychopharmacology. 231(1). 159–166. 37 indexed citations
20.
Ma, Min. (2006). In vivo MR tracking of magnetically labeled mesenchymal stem cells in rat liver after intrasplenic transplantation. Zhonghua fangshexian yixue zazhi. 1 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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