Lu Yang

80 papers receiving 578 citations

Peers

Lu Yang
Comparison fields: 5 of 103
  • Applied Microbiology and Biotechnology 15
  • Endocrinology, Diabetes and Metabolism 75
  • Geriatrics and Gerontology 12
  • Pulmonary and Respiratory Medicine 101
  • Oncology 76
Replace Terri Levien with:
Terri Levien United States
Qianzhou Lv China
Maddalena Leongito Italy
Tommaso Castelli Italy
Satoru Muto Japan
Kensuke Mitsunari Japan
Zhimin Du China
Weihong Sha China
Sebastiaan C. Goulooze Netherlands
Abdulrahman Alwhaibi Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Lu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202240
3 201533
4 202227
5 201927
6 202317
7 201916
8 202515
9 202314
10 202414
11 202214
12 201914
13 202213
14 202113
15 202012
16 202211
17 202211
18 202410
19
[Correlation between the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors and EGFR mutations in advanced squamous cell lung cancer].
201210
20 202310

About Lu Yang

Lu Yang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Epidemiology, having authored 85 papers that have together received 591 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (6 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Traditional Chinese Medicine Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (15 citations), Endocrinology, Diabetes and Metabolism (75 citations), Geriatrics and Gerontology (12 citations), Pulmonary and Respiratory Medicine (101 citations) and Oncology (76 citations). Lu Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ling‐Yun He, Juan Cheng, Xin Gao, Qiang Wei, Aidong Wen, Xin Li, Jingwen Wang, Qiang Su, Jing Dong and Donglei Zhang. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Pharmacology, Biomedicine & Pharmacotherapy, The Journal of Urology and Frontiers in Neurology.

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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