Jun Ma
Impact in
- Otorhinolaryngology top 0.01%
- Head and Neck Cancer Studies
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Head and Neck Cancer Studies 276
- Cancer Research 115
- Cancer-related molecular mechanisms research 75
- MicroRNA in disease regulation 47
- Co-authors
- Ying Hao Sun (234 shared papers)Yu‐Pei Chen (64 shared papers)Ling‐Long Tang (159 shared papers)Yan‐Ping Mao (142 shared papers)Lei Chen (121 shared papers)Quynh‐Thu Le (5 shared papers)Anthony Tak Cheung Chan (9 shared papers)Pierre Blanchard (4 shared papers)
- Journals
- Radiotherapy and Oncology (25 papers)Oral Oncology (23 papers)Oncotarget (22 papers)International Journal of Radiation Oncology*Biology*Physics (21 papers)BMC Cancer (20 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Ma
736 papers receiving 33.0k citations
Jun Ma's Hit Papers
Peers
Comparison fields: 5 of 188
- Otorhinolaryngology 11.1k
- Cancer Research 6.8k
- Oncology 5.8k
- Molecular Biology 10.0k
- Pulmonary and Respiratory Medicine 3.5k
Countries citing papers authored by Jun Ma
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
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-authors
The 25 scholars most cited alongside Jun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 770 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nasopharyngeal carcinoma Hit paper breakdown → | 2019 | 2305 |
| 2 | Induction chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma: a phase 3, multicentre, randomised controlled trial Hit paper breakdown → | 2016 | 762 |
| 3 | Gemcitabine and Cisplatin Induction Chemotherapy in Nasopharyngeal Carcinoma Hit paper breakdown → | 2019 | 686 |
| 4 | Chemotherapy and radiotherapy in nasopharyngeal carcinoma: an update of the MAC-NPC meta-analysis Hit paper breakdown → | 2015 | 612 |
| 5 | How Does Intensity-Modulated Radiotherapy Versus Conventional Two-Dimensional Radiotherapy Influence the Treatment Results in Nasopharyngeal Carcinoma Patients? Hit paper breakdown → | 2010 | 567 |
| 6 | A Metagenomic Approach to Characterization of the Vaginal Microbiome Signature in Pregnancy Hit paper breakdown → | 2012 | 559 |
| 7 | Concurrent chemoradiotherapy plus adjuvant chemotherapy versus concurrent chemoradiotherapy alone in patients with locoregionally advanced nasopharyngeal carcinoma: a phase 3 multicentre randomised controlled trial Hit paper breakdown → | 2011 | 466 |
| 8 | Comparative safety of immune checkpoint inhibitors in cancer: systematic review and network meta-analysis Hit paper breakdown → | 2018 | 455 |
| 9 | Nuclear m6A reader YTHDC1 regulates alternative polyadenylation and splicing during mouse oocyte development Hit paper breakdown → | 2018 | 452 |
| 10 | 2020 | 322 | |
| 11 | 2001 | 320 | |
| 12 | 2016 | 311 | |
| 13 | 2015 | 311 | |
| 14 | 2019 | 293 | |
| 15 | 2017 | 276 | |
| 16 | The Chinese Society of Clinical Oncology (CSCO) clinical guidelines for the diagnosis and treatment of nasopharyngeal carcinoma Hit paper breakdown → | 2021 | 273 |
| 17 | Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma Hit paper breakdown → | 2019 | 269 |
| 18 | 2012 | 262 | |
| 19 | Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma Hit paper breakdown → | 2019 | 259 |
| 20 | 2015 | 256 |
About Jun Ma
Jun Ma is a scholar working on Otorhinolaryngology, Cancer Research, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 770 papers that have together received 33.3k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (276 papers), Cancer-related molecular mechanisms research (75 papers), RNA modifications and cancer (55 papers), MicroRNA in disease regulation (47 papers), Circular RNAs in diseases (40 papers), Head and Neck Surgical Oncology (37 papers), Lung Cancer Research Studies (26 papers) and Cancer-related gene regulation (25 papers). The work is most often cited by research in Otorhinolaryngology (11.1k citations), Cancer Research (6.8k citations), Oncology (5.8k citations), Molecular Biology (10.0k citations) and Pulmonary and Respiratory Medicine (3.5k citations). Jun Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying Hao Sun, Yu‐Pei Chen, Ling‐Long Tang, Yan‐Ping Mao, Lei Chen, Quynh‐Thu Le, Anthony Tak Cheung Chan, Pierre Blanchard, Guan‐Qun Zhou and Ai-Hua Lin. Their work appears in journals such as Radiotherapy and Oncology, Oral Oncology, Oncotarget, International Journal of Radiation Oncology*Biology*Physics and BMC Cancer.
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.