Xin Ma
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Renal cell carcinoma treatment
Papers in
-
- Renal cell carcinoma treatment 71
- Surgery 66
- Bladder and Urothelial Cancer Treatments 17
- Adrenal and Paraganglionic Tumors 13
- Co-authors
- Hongzhao Li (94 shared papers)Xu Zhang (73 shared papers)Yu Gao (52 shared papers)Liangyou Gu (55 shared papers)Xintao Li (32 shared papers)Xu Zhang (54 shared papers)Qingbo Huang (43 shared papers)Baojun Wang (45 shared papers)
- Journals
- Journal of Endourology (15 papers)Urology (9 papers)The Journal of Urology (9 papers)Scientific Reports (9 papers)PLoS ONE (8 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Xin Ma
236 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 973
- Pulmonary and Respiratory Medicine 1.2k
- Surgery 1.1k
- Molecular Biology 1.4k
- Endocrinology, Diabetes and Metabolism 292
Countries citing papers authored by Xin Ma
This map shows the geographic impact of Xin 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 Xin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ma more than expected).
Fields of papers citing papers by Xin Ma
This network shows the impact of papers produced by Xin 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 Xin Ma. The network helps show where Xin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 253 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 124 | |
| 2 | Long non-coding RNA HOTAIR enhances angiogenesis by induction of VEGFA expression in glioma cells and transmission to endothelial cells via glioma cell derived-extracellular vesicles. | 2017 | 100 |
| 3 | 2015 | 91 | |
| 4 | 2015 | 91 | |
| 5 | 2008 | 82 | |
| 6 | 2010 | 79 | |
| 7 | 2007 | 71 | |
| 8 | 2017 | 68 | |
| 9 | 2015 | 66 | |
| 10 | 2016 | 65 | |
| 11 | 2016 | 64 | |
| 12 | 2013 | 63 | |
| 13 | 2010 | 63 | |
| 14 | 2011 | 59 | |
| 15 | 2006 | 59 | |
| 16 | 2014 | 56 | |
| 17 | 2013 | 52 | |
| 18 | 2015 | 52 | |
| 19 | 2017 | 51 | |
| 20 | 2015 | 51 |
About Xin Ma
Xin Ma is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Cancer Research and Oncology, having authored 253 papers that have together received 4.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (71 papers), Renal and related cancers (18 papers), Bladder and Urothelial Cancer Treatments (17 papers), Adrenal and Paraganglionic Tumors (13 papers), Cancer-related molecular mechanisms research (13 papers), Hormonal Regulation and Hypertension (11 papers), Circular RNAs in diseases (10 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Cancer Research (973 citations), Pulmonary and Respiratory Medicine (1.2k citations), Surgery (1.1k citations), Molecular Biology (1.4k citations) and Endocrinology, Diabetes and Metabolism (292 citations). Xin Ma has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Hongzhao Li, Xu Zhang, Yu Gao, Liangyou Gu, Xintao Li, Xu Zhang, Qingbo Huang, Baojun Wang, Taoping Shi and Yongpeng Xie. Their work appears in journals such as Journal of Endourology, Urology, The Journal of Urology, Scientific Reports and PLoS ONE.
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.