Dagui Lin

644 citations
18 papers · 428 · h-index 8

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 5
    • Ferroptosis and cancer prognosis 5
    • Advanced Breast Cancer Therapies 3
    • Cancer Immunotherapy and Biomarkers 7
    • Cancer Treatment and Pharmacology 3
    • Lung Cancer Research Studies 3
    • Peptidase Inhibition and Analysis 2

Dagui Lin

15 papers receiving 427 citations

Peers

Dagui Lin
Comparison fields: 5 of 56
  • Oncology 252
  • Cancer Research 126
  • Pulmonary and Respiratory Medicine 203
  • Immunology 112
  • Molecular Biology 130
Replace Yuqiu Xu with:
Yuqiu Xu China
Xiliang Cong China
Yunfu Deng China
Jun Osugi Japan
Meghan B. Davis United States
Yueyun Chen China
Yunjian Huang China
Maria Saigí Spain
De Sen Wan China
Dagui Lin relative to Yuqiu Xu China Yuqiu Xu's profile →
Citations per field
00.5×2.5×
Yuqiu Xu · 1×
Citations per year

Countries citing papers authored by Dagui Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dagui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019200
2 202167
3 202142
4 202132
5 202423
6 202018
7 202017
8 202013
9 20207
10 20243
11 20202
12 20181
13 20181
14 20181
15 20181
16 20250
17 20230
18 20220

About Dagui Lin

Dagui Lin is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Immunology and Surgery, having authored 18 papers that have together received 428 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Lung Cancer Treatments and Mutations (5 papers), Ferroptosis and cancer prognosis (5 papers), Cancer Treatment and Pharmacology (3 papers), Advanced Breast Cancer Therapies (3 papers), Lung Cancer Research Studies (3 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (252 citations), Cancer Research (126 citations), Pulmonary and Respiratory Medicine (203 citations), Immunology (112 citations) and Molecular Biology (130 citations). Dagui Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yunfang Yu, Yongjian Chen, Qiyun Ou, Anlin Li, Herui Yao, Shengbo Liu, Haiyu Zhou, Dongqiang Zeng, Wangjun Liao and Wenhao Zhou. Their work appears in journals such as Journal of Clinical Oncology, JAMA Network Open, Cancer Research and Treatment, Journal of Translational Medicine and Nature Communications.

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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