Faqing Tang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- DNA Repair Mechanisms 3
- RNA Interference and Gene Delivery 3
- Epigenetics and DNA Methylation 3
- Oncology 16
- Cancer-related Molecular Pathways 7
- Co-authors
- Zigang Dong (9 shared papers)Yuejin Li (12 shared papers)Ann M. Bode (4 shared papers)Feng Zhu (4 shared papers)Yong‐Yeon Cho (3 shared papers)Yuan Tan (4 shared papers)Weiya Ma (3 shared papers)Chengrong Lu (3 shared papers)
- Journals
- PLoS ONE (3 papers)Oncotarget (3 papers)Frontiers in Oncology (3 papers)Apmis (2 papers)Molecular Carcinogenesis (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Faqing Tang
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 291
- Applied Microbiology and Biotechnology 25
- Molecular Biology 838
- Oncology 281
- Pathology and Forensic Medicine 121
Countries citing papers authored by Faqing Tang
This map shows the geographic impact of Faqing Tang'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 Faqing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faqing Tang more than expected).
Fields of papers citing papers by Faqing Tang
This network shows the impact of papers produced by Faqing Tang. 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 Faqing Tang. The network helps show where Faqing Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Faqing Tang, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 300 | |
| 2 | 2020 | 103 | |
| 3 | 2007 | 95 | |
| 4 | 2006 | 74 | |
| 5 | 2013 | 64 | |
| 6 | 2020 | 64 | |
| 7 | 2017 | 63 | |
| 8 | 2008 | 54 | |
| 9 | 2019 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2014 | 35 | |
| 12 | 2016 | 32 | |
| 13 | 2016 | 29 | |
| 14 | 2021 | 26 | |
| 15 | 2012 | 26 | |
| 16 | 2023 | 25 | |
| 17 | 2011 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2019 | 21 |
About Faqing Tang
Faqing Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), DNA Repair Mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Epigenetics and DNA Methylation (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Cancer Research (291 citations), Applied Microbiology and Biotechnology (25 citations), Molecular Biology (838 citations), Oncology (281 citations) and Pathology and Forensic Medicine (121 citations). Faqing Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zigang Dong, Yuejin Li, Ann M. Bode, Feng Zhu, Yong‐Yeon Cho, Yuan Tan, Weiya Ma, Chengrong Lu, Tatyana A. Zykova and Xiaowei Tang. Their work appears in journals such as PLoS ONE, Oncotarget, Frontiers in Oncology, Apmis and Molecular 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.