Xin Tian
Impact in
-
- MicroRNA in disease regulation
-
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Circular RNAs in diseases
Papers in
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- RNA Interference and Gene Delivery 4
- Extracellular vesicles in disease 4
- Retinoids in leukemia and cellular processes 2
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Guangjun Nie (3 shared papers)Motao Zhu (3 shared papers)Yanhua Tian (2 shared papers)Yuliang Zhao (2 shared papers)Hao Xue (1 shared paper)Scott Rozelle (1 shared paper)Sean Sylvia (1 shared paper)Yaojiang Shi (1 shared paper)
- Journals
- European Journal of Pharmacology (2 papers)Medicinal Chemistry Research (1 paper)The FASEB Journal (1 paper)Gene (1 paper)Materials & Design (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xin Tian
46 papers receiving 847 citations
Peers
Comparison fields: 5 of 109
- Cancer Research 97
- Molecular Biology 340
- Immunology 94
- Finance 44
- Cardiology and Cardiovascular Medicine 81
Countries citing papers authored by Xin Tian
This map shows the geographic impact of Xin Tian'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 Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Tian more than expected).
Fields of papers citing papers by Xin Tian
This network shows the impact of papers produced by Xin Tian. 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 Tian. The network helps show where Xin Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Tian, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 122 | |
| 2 | 2009 | 84 | |
| 3 | 2012 | 78 | |
| 4 | 2022 | 49 | |
| 5 | 2012 | 40 | |
| 6 | 2017 | 35 | |
| 7 | 2018 | 34 | |
| 8 | 2019 | 31 | |
| 9 | 2022 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2011 | 23 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2012 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2018 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2000 | 15 | |
| 20 | 1999 | 14 |
About Xin Tian
Xin Tian is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 856 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Extracellular vesicles in disease (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Cancer-related Molecular Pathways (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), MicroRNA in disease regulation (3 papers), Endometriosis Research and Treatment (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (97 citations), Molecular Biology (340 citations), Immunology (94 citations), Finance (44 citations) and Cardiology and Cardiovascular Medicine (81 citations). Xin Tian has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guangjun Nie, Motao Zhu, Yanhua Tian, Yuliang Zhao, Hao Xue, Scott Rozelle, Sean Sylvia, Yaojiang Shi, Qingmei Liu and Alexis Medina. Their work appears in journals such as European Journal of Pharmacology, Medicinal Chemistry Research, The FASEB Journal, Gene and Materials & Design.
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.