Jun Ma

11.8k total citations · 2 hit papers
198 papers, 7.5k citations indexed

About

Jun Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jun Ma has authored 198 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Molecular Biology, 49 papers in Cancer Research and 21 papers in Oncology. Recurrent topics in Jun Ma's work include Cancer-related molecular mechanisms research (25 papers), RNA modifications and cancer (17 papers) and MicroRNA in disease regulation (17 papers). Jun Ma is often cited by papers focused on Cancer-related molecular mechanisms research (25 papers), RNA modifications and cancer (17 papers) and MicroRNA in disease regulation (17 papers). Jun Ma collaborates with scholars based in China, United States and Japan. Jun Ma's co-authors include Kjersti M. Aagaard, Kathleen M. Antony, Radhika Ganu, James Versalovic, Joseph F. Petrosino, Amanda Prince, Derrick Chu, Maxim D. Seferovic, Richard M. Schultz and R. Alan Harris and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jun Ma

189 papers receiving 7.4k citations

Hit Papers

The Placenta Harbors a Un... 2014 2026 2018 2022 2014 2017 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Ma 4.5k 1.0k 877 707 695 198 7.5k
Wei Li 5.0k 1.1× 664 0.7× 1.4k 1.6× 1.1k 1.6× 637 0.9× 325 9.2k
Na Li 4.5k 1.0× 1.4k 1.4× 693 0.8× 927 1.3× 1.4k 1.9× 471 9.6k
Ivan Damjanov 5.2k 1.2× 718 0.7× 686 0.8× 869 1.2× 1.2k 1.7× 347 10.3k
Alexander S. Whitehead 3.3k 0.7× 413 0.4× 690 0.8× 810 1.1× 2.1k 3.1× 172 9.5k
Paweł P. Jagodzińśki 2.8k 0.6× 800 0.8× 534 0.6× 483 0.7× 1.2k 1.7× 370 6.4k
Julia M. Potter 3.4k 0.8× 1.3k 1.3× 897 1.0× 549 0.8× 2.6k 3.7× 152 9.3k
Thomas A. Drake 3.8k 0.8× 505 0.5× 1.1k 1.2× 535 0.8× 924 1.3× 84 8.9k
Shanthi V. Sitaraman 4.1k 0.9× 946 0.9× 1.3k 1.4× 254 0.4× 1.8k 2.6× 140 9.5k
Paola Matarrese 3.7k 0.8× 751 0.8× 1.1k 1.2× 245 0.3× 1.7k 2.5× 175 7.5k
Henry V. Baker 3.3k 0.7× 827 0.8× 1.6k 1.8× 607 0.9× 1.6k 2.4× 135 7.6k

Countries citing papers authored by Jun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ma. A scholar is included among the top collaborators of Jun 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 Jun Ma. Jun 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, Jun, Mao Wang, Yong Zhang, et al.. (2026). Mosquito–capsid interactions contribute to flavivirus vector specificity. Nature. 651(8107). 1039–1050.
2.
Guo, Dandan, Qingchao Yang, Chenlu Yang, et al.. (2025). Relationship between Body Roundness Index and cognitive impairment in middle-aged and older adults: a population-based cross-sectional study. Frontiers in Aging Neuroscience. 17. 1522989–1522989. 1 indexed citations
3.
Sun, Weiping, Xiyue Zhang, Ngoc Hieu Tran, et al.. (2023). Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics. Nature Communications. 14(1). 4046–4046. 25 indexed citations
5.
Ma, Jun, Tristan Knight, Yongwei Su, et al.. (2021). The combination of CUDC-907 and gilteritinib shows promising in vitro and in vivo antileukemic activity against FLT3-ITD AML. Blood Cancer Journal. 11(6). 111–111. 27 indexed citations
6.
Cooper, Tyler T., Stephen E. Sherman, Gillian I. Bell, et al.. (2021). Ultrafiltration and Injection of Islet Regenerative Stimuli Secreted by Pancreatic Mesenchymal Stromal Cells. Stem Cells and Development. 30(5). 247–264. 9 indexed citations
7.
Liu, Feng, Jun Ma, Zhaoyu Shi, et al.. (2020). Clerodane Diterpenoids Isolated from the Leaves of Casearia graveolens. Journal of Natural Products. 83(1). 36–44. 13 indexed citations
8.
Liu, Fangbing, Hasini A. Kalpage, Holly Edwards, et al.. (2020). Cotargeting of Mitochondrial Complex I and Bcl-2 Shows Antileukemic Activity against Acute Myeloid Leukemia Cells Reliant on Oxidative Phosphorylation. Cancers. 12(9). 2400–2400. 29 indexed citations
9.
Ma, Jun, et al.. (2020). SHP‐1 suppresses endotoxin‐induced uveitis by inhibiting the TAK1/JNK pathway. Journal of Cellular and Molecular Medicine. 25(1). 147–160. 10 indexed citations
10.
Ma, Jun, Tristan Knight, Holly Edwards, et al.. (2019). Inhibition of Bcl-2 Synergistically Enhances the Antileukemic Activity of Midostaurin and Gilteritinib in Preclinical Models of FLT3-Mutated Acute Myeloid Leukemia. Clinical Cancer Research. 25(22). 6815–6826. 117 indexed citations
11.
Shen, Jian, Jun Ma, Jun Ma, et al.. (2019). A long non‐coding RNA LNBC3 facilitates non‐small cell lung cancer progression by stabilizing BCL6. Journal of Clinical Laboratory Analysis. 34(4). e23122–e23122. 4 indexed citations
12.
Wu, Kaiming, Ning Zhang, Jun Ma, et al.. (2018). Long noncoding RNA FAL1 promotes proliferation and inhibits apoptosis of human colon cancer cells. IUBMB Life. 70(11). 1093–1100. 21 indexed citations
13.
Li, Ruixue, et al.. (2017). Screening of reference genes in Ananas comosus var. bracteatus for qRT-PCR.. Redai yaredai zhiwu xuebao. 25(3). 250–256. 1 indexed citations
14.
Niu, Xiaojia, Jianyun Zhao, Jun Ma, et al.. (2016). Binding of Released Bim to Mcl-1 is a Mechanism of Intrinsic Resistance to ABT-199 which can be Overcome by Combination with Daunorubicin or Cytarabine in AML Cells. Clinical Cancer Research. 22(17). 4440–4451. 181 indexed citations
15.
Wang, Yan, Jichun Han, Xiaoyu Chen, et al.. (2016). Effects of Licochalcone A on Cell-cycle Distribution and Glycolysis in Human Bladder Cancer T24 Cells. Journal of food and nutrition research. 4(8). 549–557. 1 indexed citations
16.
Li, Nan, Jianping Wang, Jun Ma, et al.. (2015). Neuroprotective Effects of Cistanches Herba Therapy on Patients with Moderate Alzheimer’s Disease. Evidence-based Complementary and Alternative Medicine. 2015. 1–12. 24 indexed citations
17.
Ma, Jun, et al.. (2013). The top cited articles on glioma stem cells in Web of Science.. PubMed Central. 13 indexed citations
18.
Liu, Kai‐Yan, Yu Wang, Mingzhe Han, et al.. (2010). Valganciclovir for pre-emptive therapy of cytomegalovirus viraemia after hematopoietic stem cell transplantation: a prospective multi-center trial.. PubMed. 123(16). 2199–205. 7 indexed citations
19.
Ma, Jun. (2008). Antituberculosis drug-induced hepatotoxicity.
20.
Chen, Xiangyu, et al.. (2006). Potential role of novel hepatocellular carcinoma-associated gene IDD01 in promoting tumorigenesis of HepG2 cell line. Chinese Medical Journal. 119(20). 1709–1714. 2 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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