G. Chen

1.1k citations
54 papers · 403 · h-index 11

Impact in

    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Lung Cancer Research Studies 12
    • Cancer Immunotherapy and Biomarkers 11
    • Colorectal Cancer Treatments and Studies 10
    • Peptidase Inhibition and Analysis 6
    • Lung Cancer Treatments and Mutations 21
    • Lung Cancer Diagnosis and Treatment 6

G. Chen

49 papers receiving 398 citations

Peers

G. Chen
Comparison fields: 5 of 62
  • Oncology 224
  • Pulmonary and Respiratory Medicine 165
  • Epidemiology 85
  • Surgery 102
  • Cancer Research 28
Replace Nan Hu with:
Nan Hu China
Patrik Palacka Slovakia
Alistair Cook Australia
Shingo Kawano Japan
Yasuyuki Miyauchi Japan
Christina Louise Derleth United States
Xin Fan China
Tao Zheng China
Marco Pezzullo Italy
G. Chen relative to Nan Hu China Nan Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by G. Chen

Since Specialization
Citations

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

Fields of papers citing papers by G. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201944
3 201332
4 201930
5 201728
6 202320
7 202116
8 202315
9 202014
10 202313
11 201713
12 202210
13 202110
14 20219
15 20197
16 20207
17 20196
18 20236
19 20226
20 20225

About G. Chen

G. Chen is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Psychiatry and Mental health, having authored 54 papers that have together received 403 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (21 papers), Lung Cancer Research Studies (12 papers), Cancer Immunotherapy and Biomarkers (11 papers), Colorectal Cancer Treatments and Studies (10 papers), Peptidase Inhibition and Analysis (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Cancer therapeutics and mechanisms (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Oncology (224 citations), Pulmonary and Respiratory Medicine (165 citations), Epidemiology (85 citations), Surgery (102 citations) and Cancer Research (28 citations). G. Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Wu, Q. Wang, Ying Cheng, K. Li, Jianxing He, Haifeng Qin, Jingyun Shi, Shukun Fu, Cheng Li and Jianying Zhou. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, Frontiers in Cell and Developmental Biology, ESMO Open and ANZ Journal of Surgery.

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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