Xin-Ran Tang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA modifications and cancer 8
- Cancer-related gene regulation 6
- Epigenetics and DNA Methylation 5
- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 7
- Co-authors
- Jun Ma (20 shared papers)Na Liu (17 shared papers)Xianyue Ren (16 shared papers)Xin Wen (10 shared papers)Yaqin Wang (10 shared papers)Ying Sun (13 shared papers)Ying-Qin Li (10 shared papers)Qing‐Mei He (8 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (3 papers)Oncotarget (2 papers)Cancer Research (2 papers)Clinical Cancer Research (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xin-Ran Tang
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 387
- Oncology 244
- Molecular Biology 550
- Otorhinolaryngology 28
- Pulmonary and Respiratory Medicine 193
Countries citing papers authored by Xin-Ran Tang
This map shows the geographic impact of Xin-Ran 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 Xin-Ran Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin-Ran Tang more than expected).
Fields of papers citing papers by Xin-Ran Tang
This network shows the impact of papers produced by Xin-Ran 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 Xin-Ran Tang. The network helps show where Xin-Ran Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin-Ran 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 239 | |
| 2 | 2017 | 97 | |
| 3 | 2018 | 54 | |
| 4 | 2017 | 52 | |
| 5 | 2016 | 51 | |
| 6 | 2015 | 49 | |
| 7 | 2020 | 46 | |
| 8 | 2015 | 45 | |
| 9 | 2023 | 38 | |
| 10 | 2016 | 37 | |
| 11 | 2018 | 36 | |
| 12 | 2016 | 32 | |
| 13 | 2015 | 30 | |
| 14 | 2018 | 27 | |
| 15 | 2015 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2015 | 26 | |
| 18 | 2017 | 26 | |
| 19 | 2015 | 25 | |
| 20 | 2019 | 21 |
About Xin-Ran Tang
Xin-Ran Tang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer-related gene regulation (6 papers), Epigenetics and DNA Methylation (5 papers), Circular RNAs in diseases (3 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (387 citations), Oncology (244 citations), Molecular Biology (550 citations), Otorhinolaryngology (28 citations) and Pulmonary and Respiratory Medicine (193 citations). Xin-Ran Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jun Ma, Na Liu, Xianyue Ren, Xin Wen, Yaqin Wang, Ying Sun, Ying-Qin Li, Qing‐Mei He, Dehua Wu and Ying‐Qin Li. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Oncotarget, Cancer Research, Clinical Cancer Research 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.