Yan Qiu

944 citations
39 papers · 639 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Yan Qiu

38 papers receiving 629 citations

Peers

Yan Qiu
Comparison fields: 5 of 71
  • Cancer Research 282
  • Oncology 227
  • Molecular Biology 315
  • Rheumatology 50
  • Biotechnology 28
Replace Shih‐Hsin Lu with:
Shih‐Hsin Lu China
Wanjiang Xue China
Chih–Jen Huang Taiwan
Preeti Shah United States
Liang Hao China
Hongle Li China
Ryan L. Shuck United States
Naoyuki Hanari Japan
Leland W. K. Chung United States
Honggang Yu China
Yan Qiu relative to Shih‐Hsin Lu China Shih‐Hsin Lu's profile →
Citations per field
00.5×3.6×
Shih‐Hsin Lu · 1×
Citations per year

Countries citing papers authored by Yan Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201750
3 201540
4 202138
5 202127
6 201826
7 202126
8 201726
9 201925
10 201724
11 200424
12 201823
13 201522
14 201520
15 201420
16 201819
17 202018
18 202415
19
Long term prognosis of ductal carcinoma in situ with microinvasion: a retrospective cohort study.
201814
20
[Inhibitory effect of ginsenoside-Rg3 on lung metastasis of mouse melanoma transfected with ribonuclease inhibitor].
200413

About Yan Qiu

Yan Qiu is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Rheumatology, having authored 39 papers that have together received 639 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Sarcoma Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (5 papers), HER2/EGFR in Cancer Research (4 papers), Immunotherapy and Immune Responses (4 papers), Soft tissue tumor case studies (4 papers), Breast Cancer Treatment Studies (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (282 citations), Oncology (227 citations), Molecular Biology (315 citations), Rheumatology (50 citations) and Biotechnology (28 citations). Yan Qiu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Hong Bu, Tianjie Pu, Xiaorong Zhong, Feng Ye, Xiaobo Luo, Libo Yang, Hong Zheng, Hongying Zhang, Yu L. Lei and Qianming Chen. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Frontiers in Oncology, Stem Cells, Scientific Reports and Oncogene.

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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