Hai Yan
Impact in
- Genetics top 0.05%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Genetics 46
- Glioma Diagnosis and Treatment 44
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- Epigenetics and DNA Methylation 13
- Mitochondrial Function and Pathology 5
- Genomics and Chromatin Dynamics 5
- Co-authors
- Victor E. Velculescu (10 shared papers)Darell D. Bigner (35 shared papers)Bert Vogelstein (8 shared papers)Kenneth W. Kinzler (7 shared papers)Gregory J. Riggins (5 shared papers)Roger E. McLendon (18 shared papers)Genglin Jin (9 shared papers)D. Williams Parsons (3 shared papers)
- Journals
- Cancer Research (12 papers)Oncotarget (6 papers)Neuro-Oncology (6 papers)PLoS ONE (3 papers)Molecular Cancer Research (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hai Yan
89 papers receiving 12.5k citations
Hai Yan's Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 5.1k
- Cancer Research 4.0k
- Molecular Biology 6.5k
- Oncology 1.8k
- Structural Biology 74
Countries citing papers authored by Hai Yan
This map shows the geographic impact of Hai Yan'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 Hai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Yan more than expected).
Fields of papers citing papers by Hai Yan
This network shows the impact of papers produced by Hai Yan. 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 Hai Yan. The network helps show where Hai Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Yan, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IDH1andIDH2Mutations in Gliomas Hit paper breakdown → | 2009 | 4289 |
| 2 | High Frequency of Mutations of the PIK3CA Gene in Human Cancers Hit paper breakdown → | 2004 | 2730 |
| 3 | Transformation by the (R)-enantiomer of 2-hydroxyglutarate linked to EGLN activation Hit paper breakdown → | 2012 | 574 |
| 4 | 2004 | 412 | |
| 5 | 2011 | 371 | |
| 6 | 2011 | 361 | |
| 7 | 2004 | 253 | |
| 8 | The implications of IDH mutations for cancer development and therapy Hit paper breakdown → | 2021 | 243 |
| 9 | 2018 | 231 | |
| 10 | 2015 | 216 | |
| 11 | 2012 | 139 | |
| 12 | 2009 | 137 | |
| 13 | 2018 | 121 | |
| 14 | 2009 | 115 | |
| 15 | 2009 | 114 | |
| 16 | 2005 | 114 | |
| 17 | 2013 | 109 | |
| 18 | 2008 | 105 | |
| 19 | 2008 | 102 | |
| 20 | 2012 | 98 |
About Hai Yan
Hai Yan is a scholar working on Genetics, Molecular Biology, Cancer Research, Oncology and Cell Biology, having authored 91 papers that have together received 12.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (44 papers), Cancer, Hypoxia, and Metabolism (14 papers), Epigenetics and DNA Methylation (13 papers), Cancer Genomics and Diagnostics (9 papers), Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (5 papers), Mitochondrial Function and Pathology (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Genetics (5.1k citations), Cancer Research (4.0k citations), Molecular Biology (6.5k citations), Oncology (1.8k citations) and Structural Biology (74 citations). Hai Yan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Victor E. Velculescu, Darell D. Bigner, Bert Vogelstein, Kenneth W. Kinzler, Gregory J. Riggins, Roger E. McLendon, Genglin Jin, D. Williams Parsons, B. Ahmed Rasheed and Ines Batinic̈‐Haberle. Their work appears in journals such as Cancer Research, Oncotarget, Neuro-Oncology, PLoS ONE and Molecular Cancer Research.
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.