Jin Ma

541 total citations
13 papers, 155 citations indexed

About

Jin Ma is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Jin Ma has authored 13 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Plant Science. Recurrent topics in Jin Ma's work include Plant biochemistry and biosynthesis (3 papers), Ubiquitin and proteasome pathways (2 papers) and Heat shock proteins research (2 papers). Jin Ma is often cited by papers focused on Plant biochemistry and biosynthesis (3 papers), Ubiquitin and proteasome pathways (2 papers) and Heat shock proteins research (2 papers). Jin Ma collaborates with scholars based in China, United Kingdom and Australia. Jin Ma's co-authors include Cuihua Gu, Lin Wang, Chunhua Ma, Yu Zhao, Mayinuer Niyazi, Qingqing Ma, Yuanfang Ma, Yijun Qi, Ruimin Liu and Shegan Gao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Jin Ma

12 papers receiving 152 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Ma China 7 117 42 17 16 14 13 155
Won Dong Lee United States 11 190 1.6× 69 1.6× 17 1.0× 16 1.0× 7 0.5× 20 277
Sarah Crawford United States 5 110 0.9× 42 1.0× 19 1.1× 11 0.7× 11 0.8× 11 204
Ezgi Kaya-Aksoy Türkiye 6 99 0.8× 25 0.6× 20 1.2× 9 0.6× 5 0.4× 8 159
Tingyu Qin China 10 175 1.5× 79 1.9× 28 1.6× 12 0.8× 53 3.8× 20 296
R. R. Rios Germany 7 105 0.9× 26 0.6× 8 0.5× 7 0.4× 12 0.9× 18 163
Alibek Abdrakhmanov Russia 7 99 0.8× 43 1.0× 7 0.4× 12 0.8× 13 0.9× 8 179
Christina Seebode Germany 9 154 1.3× 22 0.5× 14 0.8× 14 0.9× 9 0.6× 17 299
Yanjiang Zheng China 8 173 1.5× 26 0.6× 29 1.7× 7 0.4× 13 0.9× 15 243

Countries citing papers authored by Jin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ma. A scholar is included among the top collaborators of Jin 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 Jin Ma. Jin Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Izsvák, Zsuzsanna, Jin Ma, Manvendra Singh, & Laurence D. Hurst. (2025). Co-option of an endogenous retrovirus (LTR7-HERVH) in early human embryogenesis: becoming useful and going unnoticed. Mobile DNA. 16(1). 27–27. 1 indexed citations
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Wang, Jie, Qun Wang, Yu Zhao, et al.. (2022). Decoding the formation of diverse petal colors of Lagerstroemia indica by integrating the data from transcriptome and metabolome. Frontiers in Plant Science. 13. 970023–970023. 22 indexed citations
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Ye, Mei, Xin Chen, Lin Duo, et al.. (2021). Identification of two novel HIV-1 circulating recombinant forms of CRF111_01C and CRF116_0108 in southwestern Yunnan, China. Virulence. 13(1). 19–29. 4 indexed citations
7.
Ma, Chunhua, et al.. (2017). MicroRNA-505 predicts prognosis and acts as tumor inhibitor in cervical carcinoma with inverse association with FZD4. Biomedicine & Pharmacotherapy. 92. 586–594. 41 indexed citations
8.
Liu, Ruimin, Danni Sun, Pan Wang, et al.. (2017). Macrophage migration inhibitory factor promotes tumor aggressiveness of esophageal squamous cell carcinoma via activation of Akt and inactivation of GSK3β. Cancer Letters. 412. 289–296. 24 indexed citations
9.
Qi, Yijun, Ming Wang, Ruimin Liu, et al.. (2014). Downregulation of 14-3-3σ Correlates with Multistage Carcinogenesis and Poor Prognosis of Esophageal Squamous Cell Carcinoma. PLoS ONE. 9(4). e95386–e95386. 18 indexed citations
10.
Sun, Guangming, et al.. (2013). Novel Class 1 Integrons in Multi-drug Resistant Isolates from Eastern China. Indian Journal of Microbiology. 54(2). 227–231. 9 indexed citations
11.
Qi, Yijun, Douglas G. Ward, Chun Pang, et al.. (2013). Proteomic profiling of N ‐linked glycoproteins identifies C on A ‐binding procathepsin D as a novel serum biomarker for hepatocellular carcinoma. PROTEOMICS. 14(2-3). 186–195. 15 indexed citations
12.
Ma, Jin, Qiang Liu, & Yi-Xin Zeng. (2004). Inhibition of Phosphatidylinositol 3-Kinase Causes Apoptosis in Retinoic Acid-Differentiated HL-60 Leukemia Cells. Cell Cycle. 3(1). 66–69. 3 indexed citations
13.
Fu, Zhaojun, et al.. (2003). [Changes of potassium channel activity of hindlimb arterial smooth muscle cells in tail-suspended rats].. PubMed. 16(4). 253–6. 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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