Hai Yan
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 4
- Kruppel-like factors research 1
- Advanced biosensing and bioanalysis techniques 1
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 1
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Zachary J. Reitman (1 shared paper)Devin Dressman (1 shared paper)Bert Vogelstein (1 shared paper)Giovanni Traverso (1 shared paper)Kenneth W. Kinzler (1 shared paper)Michael D. Taylor (3 shared papers)Paul A. Northcott (2 shared papers)Darell D. Bigner (2 shared papers)
- Journals
- Neoplasia (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)International Journal of Nanomedicine (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Hai Yan
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 499
- Genetics 211
- Molecular Biology 734
- Oncology 184
- Hematology 71
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
| # | Work | ||
|---|---|---|---|
| 1 | Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variations Hit paper breakdown → | 2003 | 591 |
| 2 | 2010 | 412 | |
| 3 | 2009 | 80 | |
| 4 | 2010 | 68 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 9 |
About Hai Yan
Hai Yan is a scholar working on Molecular Biology, Cancer Research, Ecology, Materials Chemistry and Organic Chemistry, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), MicroRNA in disease regulation (2 papers), Nanoparticles: synthesis and applications (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (1 paper), Kruppel-like factors research (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (499 citations), Genetics (211 citations), Molecular Biology (734 citations), Oncology (184 citations) and Hematology (71 citations). Hai Yan has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Zachary J. Reitman, Devin Dressman, Bert Vogelstein, Giovanni Traverso, Kenneth W. Kinzler, Michael D. Taylor, Paul A. Northcott, Darell D. Bigner, Roger E. McLendon and Qun Shi. Their work appears in journals such as Neoplasia, JNCI Journal of the National Cancer Institute, Frontiers in Bioengineering and Biotechnology, International Journal of Nanomedicine and Journal of Clinical Investigation.
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.