Ya Tian
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer, Hypoxia, and Metabolism 7
- Genetics 5
- High Altitude and Hypoxia 4
- Co-authors
- Peter J. Ratcliffe (7 shared papers)Helen Turley (2 shared papers)Christopher W. Pugh (5 shared papers)S. J. H. Ashcroft (1 shared paper)Virginia Urquidi (1 shared paper)Jonathan Gleadle (2 shared papers)Charles C. Wykoff (2 shared papers)Ineke Stolze (1 shared paper)
- Journals
- Biomaterials Science (2 papers)ACS Biomaterials Science & Engineering (1 paper)Materials Science and Engineering C (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Histopathology (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Ya Tian
15 papers receiving 518 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 324
- Biochemistry 36
- Molecular Biology 320
- Genetics 106
- Physiology 60
Countries citing papers authored by Ya Tian
This map shows the geographic impact of Ya 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 Ya Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Tian more than expected).
Fields of papers citing papers by Ya Tian
This network shows the impact of papers produced by Ya 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 Ya Tian. The network helps show where Ya Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 134 | |
| 2 | 2006 | 90 | |
| 3 | 2005 | 75 | |
| 4 | 1996 | 67 | |
| 5 | Mutation analysis of hypoxia-inducible factors HIF1A and HIF2A in renal cell carcinoma. | 2009 | 49 |
| 6 | 2011 | 41 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 12 | |
| 10 | Regulation of gene expression by oxygen levels in mammalian cells. | 1999 | 10 |
| 11 | 2024 | 6 | |
| 12 | 1993 | 3 | |
| 13 | 2000 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 1994 | 1 | |
| 16 | 2025 | 0 |
About Ya Tian
Ya Tian is a scholar working on Cancer Research, Genetics, Molecular Biology, Biomedical Engineering and Biomaterials, having authored 16 papers that have together received 532 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Nanoplatforms for cancer theranostics (4 papers), High Altitude and Hypoxia (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Luminescence and Fluorescent Materials (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), RNA modifications and cancer (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cancer Research (324 citations), Biochemistry (36 citations), Molecular Biology (320 citations), Genetics (106 citations) and Physiology (60 citations). Ya Tian has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Peter J. Ratcliffe, Helen Turley, Christopher W. Pugh, S. J. H. Ashcroft, Virginia Urquidi, Jonathan Gleadle, Charles C. Wykoff, Ineke Stolze, Elizabeth J. Soilleux and Michael S. Wiesener. Their work appears in journals such as Biomaterials Science, ACS Biomaterials Science & Engineering, Materials Science and Engineering C, Journal of Molecular and Cellular Cardiology and Histopathology.
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.