Gen Lin

1.5k citations
64 papers · 537 indexed · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Genomics and Diagnostics 12
    • Colorectal Cancer Treatments and Studies 11
    • Lung Cancer Research Studies 10
    • Cancer Immunotherapy and Biomarkers 9
    • Cancer Cells and Metastasis 5

Gen Lin

54 papers receiving 530 citations

Peers

Gen Lin
Comparison fields: 5 of 68
  • Oncology 309
  • Cancer Research 127
  • Pulmonary and Respiratory Medicine 251
  • Immunology 120
  • Molecular Biology 163
Replace Takumi Yamaura with:
Takumi Yamaura Japan
Angel Qin United States
Santiago Ponce Aix Spain
Ivana Sullivan Spain
Luis Paz Ares Spain
Minsig Choi United States
Ruixuan Geng China
Delphine Topart France
Julio A. Peguero United States
J.M. Sánchez-Torres Spain
Gen Lin relative to Takumi Yamaura Japan Takumi Yamaura's profile →
Citations per field
00.5×1.5×2.2×
Takumi Yamaura · 1×
Citations per year

Countries citing papers authored by Gen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Gen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201746
3 202042
4 201340
5 201736
6 201930
7 201628
8 202219
9
Gu, H. et al. Essential role for Gab2 in the allergic response. Nature 412, 186-190
200119
10 201217
11 201717
12 202212
13 201811
14 202011
15 202210
16 202410
17 20209
18 20148
19 20188
20 20237

About Gen Lin

Gen Lin is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Immunology and Neurology, having authored 64 papers that have together received 537 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (34 papers), Cancer Genomics and Diagnostics (12 papers), Colorectal Cancer Treatments and Studies (11 papers), Lung Cancer Research Studies (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Diagnosis and Treatment (7 papers), Cancer Cells and Metastasis (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Oncology (309 citations), Cancer Research (127 citations), Pulmonary and Respiratory Medicine (251 citations), Immunology (120 citations) and Molecular Biology (163 citations). Gen Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qian Miao, Kan Jiang, Haipeng Xu, Cheng Huang, Zhiyong He, Xiandong Lin, Dan Hu, Yunjian Huang, Weifeng Zhu and Yunbin Ye. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Annals of Oncology, Scientific Reports and Annals of Palliative 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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