Jun Ma

43.7k total citations · 8 hit papers
704 papers, 25.2k citations indexed

About

Jun Ma is a scholar working on Otorhinolaryngology, Molecular Biology and Surgery. According to data from OpenAlex, Jun Ma has authored 704 papers receiving a total of 25.2k indexed citations (citations by other indexed papers that have themselves been cited), including 268 papers in Otorhinolaryngology, 241 papers in Molecular Biology and 178 papers in Surgery. Recurrent topics in Jun Ma's work include Head and Neck Cancer Studies (265 papers), Head and Neck Surgical Oncology (107 papers) and Cancer-related molecular mechanisms research (106 papers). Jun Ma is often cited by papers focused on Head and Neck Cancer Studies (265 papers), Head and Neck Surgical Oncology (107 papers) and Cancer-related molecular mechanisms research (106 papers). Jun Ma collaborates with scholars based in China, United States and Hong Kong. Jun Ma's co-authors include Ying Sun, Ling‐Long Tang, Yu‐Pei Chen, Yan‐Ping Mao, Lei Chen, Anthony T.�C. Chan, Quynh‐Thu Le, Pierre Blanchard, Yixue Xue and Ai-Hua Lin and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jun Ma

680 papers receiving 25.0k citations

Hit Papers

Nasopharyngeal carcinoma 2010 2026 2015 2020 2019 2010 2012 2018 2018 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nasopharyngeal carcinoma
    2019 2.0k citations Ying Sun, Jun Ma et al. profile →
  2. How Does Intensity-Modulated Radiotherapy Versus Conventional Two-Dimensional Radiotherapy Influence the Treatment Results in Nasopharyngeal Carcinoma Patients?
    2010 530 citations Lei Chen, Ying Sun et al. profile →
  3. A Metagenomic Approach to Characterization of the Vaginal Microbiome Signature in Pregnancy
    2012 500 citations Jun Ma et al. profile →
  4. Nuclear m6A reader YTHDC1 regulates alternative polyadenylation and splicing during mouse oocyte development
    2018 424 citations Jun Ma et al. profile →
  5. Comparative safety of immune checkpoint inhibitors in cancer: systematic review and network meta-analysis
    2018 416 citations Lei Chen, Guan‐Qun Zhou et al. profile →
  6. Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma
    2019 241 citations Hao Peng, Di Dong et al. Clinical Cancer Research profile →
  7. Intensity-modulated radiotherapy prolongs the survival of patients with nasopharyngeal carcinoma compared with conventional two-dimensional radiotherapy: A 10-year experience with a large cohort and long follow-up
    2015 240 citations Ying Sun, Jun Ma et al. profile →
  8. Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
    2019 237 citations Li Lin, Guan‐Qun Zhou et al. profile →

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 10.1k 7.9k 7.3k 6.8k 5.3k 704 25.2k
Quynh‐Thu Le 6.7k 0.7× 7.4k 0.9× 5.2k 0.7× 7.8k 1.1× 5.8k 1.1× 461 25.4k
Jennifer R. Grandis 10.6k 1.1× 4.2k 0.5× 4.1k 0.6× 10.5k 1.6× 3.1k 0.6× 342 23.4k
Wayne M. Koch 7.4k 0.7× 8.8k 1.1× 3.8k 0.5× 7.5k 1.1× 6.0k 1.1× 259 20.9k
Adel K. El‐Naggar 12.0k 1.2× 5.4k 0.7× 5.1k 0.7× 16.8k 2.5× 11.9k 2.2× 679 36.4k
Luiz Paulo Kowalski 3.8k 0.4× 8.1k 1.0× 2.3k 0.3× 6.8k 1.0× 9.0k 1.7× 734 20.5k
Fei‐Fei Liu 6.9k 0.7× 2.4k 0.3× 4.3k 0.6× 3.5k 0.5× 2.4k 0.5× 388 15.4k
Luigi Mariani 6.6k 0.7× 1.4k 0.2× 8.2k 1.1× 10.6k 1.6× 7.5k 1.4× 451 32.0k
Alfred K. Lam 6.1k 0.6× 1.1k 0.1× 3.6k 0.5× 5.1k 0.7× 5.6k 1.1× 556 18.7k
Ka‐Fai To 13.5k 1.3× 1.1k 0.1× 7.6k 1.0× 8.9k 1.3× 6.2k 1.2× 566 34.7k
Heikki Joensuu 8.4k 0.8× 960 0.1× 6.2k 0.8× 12.8k 1.9× 7.1k 1.3× 583 35.5k

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.
Ding, Cong, et al.. (2024). Structural insights into non-hotspot KRAS mutations and their potential as targets for effective cancer therapies. Journal of Biomolecular Structure and Dynamics. 43(15). 8308–8318. 1 indexed citations
2.
Li, Qingjie, Xueliang Fang, Yingqin Li, et al.. (2024). DCAF7 Acts as A Scaffold to Recruit USP10 for G3BP1 Deubiquitylation and Facilitates Chemoresistance and Metastasis in Nasopharyngeal Carcinoma. Advanced Science. 11(36). e2403262–e2403262. 10 indexed citations
3.
4.
Liu, Bo, et al.. (2024). First boron isotopes in the southern Jilin TTG series uncover a Neoarchean oceanic arc in the eastern North China Craton. Gondwana Research. 139. 243–259. 1 indexed citations
5.
6.
Shi, Qianqian, Liying Song, Yu Wang, et al.. (2024). Unravelling the function of prdm16 in human tumours: A comparative analysis of haematologic and solid tumours. Biomedicine & Pharmacotherapy. 178. 117281–117281. 3 indexed citations
7.
Deng, Yajun, Xingang Wang, Zhi Li, et al.. (2023). Comprehensive analysis of senescence-related genes and immune infiltration in intervertebral disc degeneration: a meta-data approach utilizing bulk and single-cell RNA sequencing data. Frontiers in Molecular Biosciences. 10. 1296782–1296782. 2 indexed citations
8.
9.
Zhang, Zheng, Yichen Meng, Tao Lin, et al.. (2023). Association between gut microbiota and bone metabolism: Insights from bibliometric analysis. Frontiers in Physiology. 14. 1156279–1156279. 6 indexed citations
10.
Kou, Jia, Lin Li, Guan‐Qun Zhou, et al.. (2021). Individualized elective irradiation of the clinically node‐negative neck in definitive radiotherapy for head and neck squamous cell carcinoma. Cancer Communications. 41(4). 303–315. 4 indexed citations
11.
Zheng, Zi‐Qi, Zhi‐Xuan Li, Xu Liu, et al.. (2020). Long Noncoding RNA TINCR-Mediated Regulation of Acetyl-CoA Metabolism Promotes Nasopharyngeal Carcinoma Progression and Chemoresistance. Cancer Research. 80(23). 5174–5188. 86 indexed citations
12.
Zheng, Zi‐Qi, Zhi‐Xuan Li, Guan‐Qun Zhou, et al.. (2019). Long Noncoding RNA FAM225A Promotes Nasopharyngeal Carcinoma Tumorigenesis and Metastasis by Acting as ceRNA to Sponge miR-590-3p/miR-1275 and Upregulate ITGB3. Cancer Research. 79(18). 4612–4626. 279 indexed citations
13.
Peng, Hao, Di Dong, Lu Li, et al.. (2019). Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma. Clinical Cancer Research. 25(14). 4271–4279. 241 indexed citations breakdown →
14.
Peng, Bo, Gao Wang, Jun Ma, et al.. (2018). SoS Notebook: an interactive multi-language data analysis environment. Bioinformatics. 34(21). 3768–3770. 7 indexed citations
15.
Li, Ying-Qin, Xiao-Jing Yang, Xiaojing Du, et al.. (2018). RAB37 Hypermethylation Regulates Metastasis and Resistance to Docetaxel-Based Induction Chemotherapy in Nasopharyngeal Carcinoma. Clinical Cancer Research. 24(24). 6495–6508. 24 indexed citations
16.
Zhang, Jiän, Ying-Qin Li, Rui Guo, et al.. (2018). Hypermethylation of SHISA3 Promotes Nasopharyngeal Carcinoma Metastasis by Reducing SGSM1 Stability. Cancer Research. 79(4). 747–759. 35 indexed citations
17.
Gay, Carl M., Pan Tong, Robert J. Cardnell, et al.. (2018). Differential Sensitivity Analysis for Resistant Malignancies (DISARM) Identifies Common Candidate Therapies across Platinum-Resistant Cancers. Clinical Cancer Research. 25(1). 346–357. 12 indexed citations
18.
Ren, Xianyue, Guan‐Qun Zhou, Wei Jiang, et al.. (2015). Low SFRP1 Expression Correlates with Poor Prognosis and Promotes Cell Invasion by Activating the Wnt/β-Catenin Signaling Pathway in NPC. Cancer Prevention Research. 8(10). 968–977. 30 indexed citations
19.
Jiang, Ning, Dongsheng Wang, Zhongliang Hu, et al.. (2014). Combination of Anti-HER3 Antibody MM-121/SAR256212 and Cetuximab Inhibits Tumor Growth in Preclinical Models of Head and Neck Squamous Cell Carcinoma. Molecular Cancer Therapeutics. 13(7). 1826–1836. 50 indexed citations
20.
Liu, Na, Ning Jiang, Rui Guo, et al.. (2013). MiR-451 inhibits cell growth and invasion by targeting MIF and is associated with survival in nasopharyngeal carcinoma. Molecular Cancer. 12(1). 123–123. 103 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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