Gen Lin

1.5k citations
64 papers · 475 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics

Papers in

    • Lung Cancer Treatments and Mutations 29
    • Lung Cancer Diagnosis and Treatment 6
    • Colorectal Cancer Treatments and Studies 10
    • Cancer Immunotherapy and Biomarkers 6
    • Lung Cancer Research Studies 6

Gen Lin

52 papers receiving 469 citations

Peers

Gen Lin
Comparison fields: 5 of 61
  • Oncology 210
  • Cancer Research 82
  • Pulmonary and Respiratory Medicine 145
  • Immunology 91
  • Molecular Biology 114
Replace Julio A. Peguero with:
Julio A. Peguero United States
Iván Victoria Spain
Jianling Zou China
Takumi Yamaura Japan
María González Cao Spain
Takehisa Suzuki Japan
Elisa Giommoni Italy
Priscilla Cascetta Italy
Ruixuan Geng China
Luis Paz Ares Spain
Gen Lin relative to Julio A. Peguero United States Julio A. Peguero's profile →
Citations per field
00.5×1.5×1.8×
Julio A. Peguero · 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 201749
3 202042
4 201340
5 201628
6 202223
7
Gu, H. et al. Essential role for Gab2 in the allergic response. Nature 412, 186-190
200119
8 201718
9 201217
10 202214
11 202011
12 202410
13 202210
14 20209
15 20148
16 20188
17 20237
18 20227
19 20177
20 20237

About Gen Lin

Gen Lin is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 475 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (29 papers), Colorectal Cancer Treatments and Studies (10 papers), Cancer Genomics and Diagnostics (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Lung Cancer Research Studies (6 papers), RNA modifications and cancer (5 papers) and Myasthenia Gravis and Thymoma (4 papers). The work is most often cited by research in Oncology (210 citations), Cancer Research (82 citations), Pulmonary and Respiratory Medicine (145 citations), Immunology (91 citations) and Molecular Biology (114 citations). Gen Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiyong He, Kan Jiang, Qian Miao, Haipeng Xu, Xiandong Lin, Yunjian Huang, Cheng Huang, Yunbin Ye, Weifeng Zhu and Dan Hu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Annals of Oncology, Cancer Research and Cancer 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.

Explore authors with similar magnitude of impact