Hai Yan

26.7k citations
91 papers · 12.5k indexed · 4 hit papers · h-index 37

Impact in

  • Genetics top 0.05%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

    • Glioma Diagnosis and Treatment 44
    • Cancer, Hypoxia, and Metabolism 16
    • Cancer Genomics and Diagnostics 12
    • MicroRNA in disease regulation 6

Hai Yan

89 papers receiving 12.4k citations

Hit Papers

The implications of IDH mutations for cancer development and therapy 2021 · 226 citations
226200420262011201810002.0k3.0k4.0k

Peers

Hai Yan
Comparison fields: 5 of 142
  • Genetics 5.5k
  • Cancer Research 4.6k
  • Molecular Biology 7.1k
  • Oncology 2.2k
  • Structural Biology 86
Replace D. Williams Parsons with:
D. Williams Parsons United States
David Capper Germany
Howard Colman United States
Daniel P. Cahill United States
Jason T. Huse United States
Peter Hau Germany
Richard J. Gilbertson United States
Ahmed Idbaïh France
Frank B. Furnari United States
Monika E. Hegi Switzerland
Hai Yan relative to D. Williams Parsons United States D. Williams Parsons's profile →
Citations per field
00.5×1.5×
D. Williams Parsons · 1×
Citations per year

Countries citing papers authored by Hai Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Hai Yan Line = papers co-authored together Hai Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20247
4 20233
5 202230
6 202019
7 201917
8 201919
9 201733
10 201731
11 201733
12 201298
13 2011370
14 2011359
15 200926
16 200953
17 200838
18 2008102
19
High Frequency of Mutations of the PIK3CA Gene in Human Cancers
Hit paper breakdown →
20042708
20 2004412

About Hai Yan

Hai Yan is a scholar working on Genetics, Cancer Research, Structural Biology, Molecular Biology and Oncology, having authored 91 papers that have together received 12.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (44 papers), Cancer, Hypoxia, and Metabolism (16 papers), Epigenetics and DNA Methylation (14 papers), Cancer Genomics and Diagnostics (12 papers), Mitochondrial Function and Pathology (6 papers), Microtubule and mitosis dynamics (6 papers), MicroRNA in disease regulation (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Genetics (5.5k citations), Cancer Research (4.6k citations), Molecular Biology (7.1k citations), Oncology (2.2k citations) and Structural Biology (86 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 Batinić‐Haberle. Their work appears in journals such as Cancer Research, Neuro-Oncology, Oncotarget, Molecular Cancer Research and Science.

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.

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