Na Tong
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 17
- Epigenetics and DNA Methylation 15
- Circular RNAs in diseases 13
- RNA Research and Splicing 7
- DNA Repair Mechanisms 6
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- MicroRNA in disease regulation 26
- Cancer-related molecular mechanisms research 26
- Co-authors
- Meilin Wang (67 shared papers)Haiyan Chu (44 shared papers)Zhengdong Zhang (40 shared papers)Zhengdong Zhang (24 shared papers)Mulong Du (20 shared papers)Bin Xu (14 shared papers)Dongying Gu (15 shared papers)Danni Shi (13 shared papers)
- Journals
- PLoS ONE (9 papers)Bioresource Technology (6 papers)Oncotarget (5 papers)The Prostate (4 papers)Carcinogenesis (4 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Na Tong
105 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 1.7k
- Molecular Biology 2.1k
- Oncology 306
- Pathology and Forensic Medicine 158
- Pollution 91
Countries citing papers authored by Na Tong
This map shows the geographic impact of Na Tong'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 Na Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Tong more than expected).
Fields of papers citing papers by Na Tong
This network shows the impact of papers produced by Na Tong. 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 Na Tong. The network helps show where Na Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Tong, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 168 | |
| 2 | 2011 | 143 | |
| 3 | 2014 | 124 | |
| 4 | 2014 | 123 | |
| 5 | 2015 | 102 | |
| 6 | 2010 | 96 | |
| 7 | 2012 | 73 | |
| 8 | 2015 | 71 | |
| 9 | 2011 | 63 | |
| 10 | 2009 | 59 | |
| 11 | 2015 | 58 | |
| 12 | 2014 | 57 | |
| 13 | 2013 | 56 | |
| 14 | 2011 | 55 | |
| 15 | 2014 | 54 | |
| 16 | 2018 | 53 | |
| 17 | 2016 | 52 | |
| 18 | 2014 | 52 | |
| 19 | 2013 | 46 | |
| 20 | 2013 | 44 |
About Na Tong
Na Tong is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Oncology and Pulmonary and Respiratory Medicine, having authored 106 papers that have together received 3.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (26 papers), Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (17 papers), Epigenetics and DNA Methylation (15 papers), Circular RNAs in diseases (13 papers), Acute Lymphoblastic Leukemia research (13 papers), RNA Research and Splicing (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (2.1k citations), Oncology (306 citations), Pathology and Forensic Medicine (158 citations) and Pollution (91 citations). Na Tong has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Meilin Wang, Haiyan Chu, Zhengdong Zhang, Zhengdong Zhang, Mulong Du, Bin Xu, Dongying Gu, Danni Shi, Lan Ma and Dongyan Zhong. Their work appears in journals such as PLoS ONE, Bioresource Technology, Oncotarget, The Prostate and Carcinogenesis.
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.