Chen Mao

206 papers receiving 6.4k citations

Chen Mao's Hit Papers

The prevalence of EGFR mutation in patients with non-small cell lung cancer: a systematic review and meta-analysis 2016 · 562 citations
5620+3+6Years since publication100200300400500

Peers

Chen Mao
Comparison fields: 5 of 170
  • Oncology 1.0k
  • Pulmonary and Respiratory Medicine 1.2k
  • Cancer Research 515
  • Geriatrics and Gerontology 94
  • Health, Toxicology and Mutagenesis 303
Replace Mitsuru Mori with:
Mitsuru Mori Japan
Carol A. Pollock Australia
Rino Bellocco Sweden
Niklas Hammar Sweden
Loren Lipworth United States
Tom Wilsgaard Norway
Paolo Chiodini Italy
Francesca Bravi Italy
Maurice P. Zeegers Netherlands
Lihua Liu China
Chen Mao relative to Mitsuru Mori Japan Mitsuru Mori's profile →
Citations per field
00.5×3.8×
Mitsuru Mori · 1×
Citations per year

Countries citing papers authored by Chen Mao

Since Specialization
Citations

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

Fields of papers citing papers by Chen Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The prevalence of EGFR mutation in patients with non-small cell lung cancer: a systematic review and meta-analysis
Hit paper breakdown →
2016562
2 2020260
3 2009258
4 2013248
5 2013199
6 2017165
7 2016137
8 2015125
9 2015115
10 2015114
11 201591
12 201283
13 202083
14 201582
15 202277
16 201373
17 202071
18 201071
19 201071
20 202368

About Chen Mao

Chen Mao is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 218 papers that have together received 6.5k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (10 papers), Meta-analysis and systematic reviews (10 papers), BRCA gene mutations in cancer (8 papers), Lung Cancer Treatments and Mutations (8 papers), Nutritional Studies and Diet (7 papers), Glutathione Transferases and Polymorphisms (6 papers), Air Quality and Health Impacts (6 papers) and Health disparities and outcomes (6 papers). The work is most often cited by research in Oncology (1.0k citations), Pulmonary and Respiratory Medicine (1.2k citations), Cancer Research (515 citations), Geriatrics and Gerontology (94 citations) and Health, Toxicology and Mutagenesis (303 citations). Chen Mao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zu‐Yao Yang, Jin-Qiu Yuan, Qing Chen, Jin-Ling Tang, Jin-Ling Tang, Xiaohong Fu, Li‐Xin Qiu, Zhihao Li, Yuelun Zhang and Diane Threapleton. Their work appears in journals such as Breast Cancer Research and Treatment, Molecular Biology Reports, Journal of the American Medical Directors Association, The Journals of Gerontology Series A and Medicine.

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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