Qiu‐Yan He

954 citations
19 papers · 675 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis
    • Viral-associated cancers and disorders

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Cancer-related gene regulation 3
    • Epigenetics and DNA Methylation 2
    • Viral-associated cancers and disorders 2

Qiu‐Yan He

18 papers receiving 672 citations

Peers

Qiu‐Yan He
Comparison fields: 5 of 72
  • Cancer Research 275
  • Oncology 203
  • Otorhinolaryngology 32
  • Molecular Biology 484
  • Cell Biology 59
Replace Jia‐Quan Qu with:
Jia‐Quan Qu China
Shilpi Arora United States
Xun‐Xun Wan China
Ailan Cheng China
Chikashi Kihara Japan
Alexander Jorge Cortez Poland
Yi‐Hung Carol Tan United States
Alison M. Urvalek United States
Katherine R. Singleton United States
Caiwen Du China
Qiu‐Yan He relative to Jia‐Quan Qu China Jia‐Quan Qu's profile →
Citations per field
00.5×1.7×
Jia‐Quan Qu · 1×
Citations per year

Countries citing papers authored by Qiu‐Yan He

Since Specialization
Citations

This map shows the geographic impact of Qiu‐Yan He'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 Qiu‐Yan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiu‐Yan He more than expected).

Fields of papers citing papers by Qiu‐Yan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiu‐Yan He. 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 Qiu‐Yan He. The network helps show where Qiu‐Yan He may publish in the future.

Co-authors

The 25 scholars most cited alongside Qiu‐Yan He, 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 Qiu‐Yan He Line = papers co-authored together Qiu‐Yan He links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2011214
2 201574
3 201559
4 201256
5 201439
6 201231
7 201129
8 201527
9 201227
10 201526
11 202022
12 202015
13 201114
14 202013
15 201712
16 20249
17 20126
18
Detection of immunoglobulin and T-cell receptor gene rearrangements in angioimmunoblastic T-cell lymphoma.
20182
19 20250

About Qiu‐Yan He

Qiu‐Yan He is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 675 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Cancer-related gene regulation (3 papers), Viral-associated cancers and disorders (2 papers), Epigenetics and DNA Methylation (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (275 citations), Oncology (203 citations), Otorhinolaryngology (32 citations), Molecular Biology (484 citations) and Cell Biology (59 citations). Qiu‐Yan He has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Zhi‐Qiang Xiao, Hong Yi, Jia‐Quan Qu, Xun‐Xun Wan, Jianhuang Li, Maoyu Li, Xia Li, Gu‐Qing Zeng, Yu Chen and Jianhong Zuo. Their work appears in journals such as Oncotarget, Journal of Cancer Research and Clinical Oncology, Molecular Cancer Therapeutics, Journal of Cellular Biochemistry and Oncology Reports.

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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