Jun Mao
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
-
- Epigenetics and DNA Methylation 6
- Wnt/β-catenin signaling in development and cancer 4
- Circular RNAs in diseases 4
- Hedgehog Signaling Pathway Studies 4
- Mechanisms of cancer metastasis 3
- Oncology 17
- Cancer Cells and Metastasis 10
- Co-authors
- Ying Lü (14 shared papers)Bo Song (11 shared papers)Tao Qin (5 shared papers)Xiaotang Yu (9 shared papers)Lianhong Li (15 shared papers)Lianhong Li (8 shared papers)Shujun Fan (6 shared papers)Qun Zhang (2 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (8 papers)Chemico-Biological Interactions (4 papers)Cell Death and Disease (4 papers)Cancer Gene Therapy (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Mao
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 636
- Oncology 494
- Molecular Biology 1.2k
- Geriatrics and Gerontology 34
- Pathology and Forensic Medicine 110
Countries citing papers authored by Jun Mao
This map shows the geographic impact of Jun Mao'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 Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mao more than expected).
Fields of papers citing papers by Jun Mao
This network shows the impact of papers produced by Jun Mao. 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 Mao. The network helps show where Jun Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mao, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 218 | |
| 2 | 2017 | 141 | |
| 3 | 2019 | 115 | |
| 4 | 2013 | 115 | |
| 5 | 2017 | 103 | |
| 6 | 2018 | 100 | |
| 7 | 2020 | 94 | |
| 8 | 2018 | 84 | |
| 9 | 2016 | 78 | |
| 10 | 2015 | 71 | |
| 11 | 2012 | 65 | |
| 12 | 2018 | 63 | |
| 13 | 2021 | 61 | |
| 14 | 2014 | 50 | |
| 15 | 2021 | 40 | |
| 16 | 2018 | 38 | |
| 17 | 2013 | 33 | |
| 18 | 2019 | 31 | |
| 19 | 2021 | 29 | |
| 20 | 2018 | 28 |
About Jun Mao
Jun Mao is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Epigenetics and DNA Methylation (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Circular RNAs in diseases (4 papers), Hedgehog Signaling Pathway Studies (4 papers) and Mechanisms of cancer metastasis (3 papers). The work is most often cited by research in Cancer Research (636 citations), Oncology (494 citations), Molecular Biology (1.2k citations), Geriatrics and Gerontology (34 citations) and Pathology and Forensic Medicine (110 citations). Jun Mao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ying Lü, Bo Song, Tao Qin, Xiaotang Yu, Lianhong Li, Lianhong Li, Shujun Fan, Qun Zhang, L Wang and Qingqing Zhang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Chemico-Biological Interactions, Cell Death and Disease, Cancer Gene Therapy and International Journal of Molecular Sciences.
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.