Ya‐Min Tian
- Cancer Research top 0.05%
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Physiology top 1%
- Oncology top 5%
- Co-authors
- Peter J. RatcliffeChristopher W. PughChristopher J. SchofieldDavid R. MoleMichael WilsonPatrick H. MaxwellPanu JaakkolaMridul Mukherji
- Topics
- Cancer, Hypoxia, and Metabolism (24 papers)Adipose Tissue and Metabolism (7 papers)High Altitude and Hypoxia (7 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Ya‐Min Tian
32 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 8.1k
- Molecular Biology 7.1k
- Genetics 2.0k
- Physiology 1.5k
- Oncology 846
Countries citing papers authored by Ya‐Min Tian
This map shows the geographic impact of Ya‐Min 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‐Min 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‐Min Tian more than expected).
Fields of papers citing papers by Ya‐Min Tian
This network shows the impact of papers produced by Ya‐Min 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‐Min Tian. The network helps show where Ya‐Min Tian may publish in the future.
Co-authorship network of co-authors of Ya‐Min Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Min Tian. A scholar is included among the top collaborators of Ya‐Min Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya‐Min Tian. Ya‐Min Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 26 | |
| 3 | 75 | |
| 4 | 107 | |
| 5 | 39 | |
| 6 | 127 | |
| 7 | 19 | |
| 8 | 78 | |
| 9 | 27 | |
| 10 | 149 | |
| 11 | The oncometabolite 2‐hydroxyglutarate inhibits histone lysine demethylasesbreakdown → | 762 |
| 12 | 23 | |
| 13 | 5 | |
| 14 | Differential Function of the Prolyl Hydroxylases PHD1, PHD2, and PHD3 in the Regulation of Hypoxia-inducible Factorbreakdown → | 884 |
| 15 | 44 | |
| 16 | 91 | |
| 17 | 53 | |
| 18 | Hypoxia-inducible Factor (HIF) Asparagine Hydroxylase Is Identical to Factor Inhibiting HIF (FIH) and Is Related to the Cupin Structural Familybreakdown → | 602 |
| 19 | Targeting of HIF-α to the von Hippel-Lindau Ubiquitylation Complex by O 2 -Regulated Prolyl Hydroxylationbreakdown → | 4523 |
| 20 | C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylationbreakdown → | 2746 |
About Ya‐Min Tian
Ya‐Min Tian is a scholar working on Cancer Research, Biochemistry and Physiology, having authored 32 papers that have together received 11.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (24 papers), Adipose Tissue and Metabolism (7 papers) and High Altitude and Hypoxia (7 papers). The work is most often cited by research in Cancer Research (8.1k citations), Biochemistry (811 citations) and Molecular Biology (7.1k citations). Ya‐Min Tian has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Peter J. Ratcliffe, Christopher W. Pugh, Christopher J. Schofield, David R. Mole, Michael Wilson, Patrick H. Maxwell, Panu Jaakkola, Mridul Mukherji, Alex von Kriegsheim and Adriana Gielbert. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.