Qianyi Lu

459 citations
45 papers · 288 · h-index 11

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer-related Molecular Pathways

Papers in

    • HER2/EGFR in Cancer Research 14
    • Cancer Immunotherapy and Biomarkers 10
    • Cancer Treatment and Pharmacology 6
    • Breast Cancer Treatment Studies 12
    • Cancer Genomics and Diagnostics 5

Qianyi Lu

36 papers receiving 286 citations

Peers

Qianyi Lu
Comparison fields: 5 of 63
  • Cancer Research 98
  • Oncology 153
  • Pulmonary and Respiratory Medicine 94
  • Pathology and Forensic Medicine 36
  • Genetics 20
Replace Susanna Lauttia with:
Susanna Lauttia Finland
Lynn M. Opdenaker United States
Hubert Pakula United States
Paul DePietro United States
Nobuhiro Imanaka Japan
Marion Gilormini France
Fanny Grillet France
Rachel Joyce Australia
Suzana Gomes United States
Shaoqiang Cheng China
Qianyi Lu relative to Susanna Lauttia Finland Susanna Lauttia's profile →
Citations per field
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Susanna Lauttia · 1×
Citations per year

Countries citing papers authored by Qianyi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qianyi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201935
2 201832
3 202123
4 201922
5 202117
6 202016
7 202015
8 202015
9 202113
10 202010
11 202110
12 20189
13 20238
14 20228
15 20237
16 20245
17 20214
18 20204
19 20173
20 20203

About Qianyi Lu

Qianyi Lu is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 45 papers that have together received 288 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (14 papers), Breast Cancer Treatment Studies (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Advanced Breast Cancer Therapies (9 papers), Cancer Treatment and Pharmacology (6 papers), Breast Lesions and Carcinomas (6 papers), Cancer Genomics and Diagnostics (5 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Cancer Research (98 citations), Oncology (153 citations), Pulmonary and Respiratory Medicine (94 citations), Pathology and Forensic Medicine (36 citations) and Genetics (20 citations). Qianyi Lu has collaborated with scholars based in China and Ethiopia. Frequent co-authors include Ruoxi Hong, Fei Xu, Shusen Wang, Qiufan Zheng, Wen Xia, Kuikui Jiang, Zhongyu Yuan, Yanxia Shi, Ge Qin and Liye Wang. Their work appears in journals such as The Oncologist, Frontiers in Oncology, Cancer Communications, Annals of Medicine and Journal of Affective Disorders.

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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