Ling Dai

517 citations
27 papers · 385 · h-index 10

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Lung Cancer Research Studies 4
    • Colorectal Cancer Surgical Treatments 2
    • Lung Cancer Treatments and Mutations 8
    • Lung Cancer Diagnosis and Treatment 3

Ling Dai

26 papers receiving 380 citations

Peers

Ling Dai
Comparison fields: 5 of 37
  • Oncology 207
  • Cancer Research 53
  • Pulmonary and Respiratory Medicine 82
  • Immunology 35
  • Molecular Biology 82
Replace Weiheng Hu with:
Weiheng Hu China
Joshua Kapere Ochieng United States
Dmitri Grebennik United States
Kailong Lin China
László Agócs Hungary
Martin Svatoň Czechia
Maciej Bryl Poland
Carina Forsare Sweden
Niara Oliveira Australia
Patricia Iranzo Spain
Ling Dai relative to Weiheng Hu China Weiheng Hu's profile →
Citations per field
00.5×1.5×2.0×
Weiheng Hu · 1×
Citations per year

Countries citing papers authored by Ling Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015115
2 201838
3 202031
4 202129
5 201926
6 201724
7 201820
8 201612
9 201410
10 201910
11 201710
12 20248
13 20167
14 20187
15 20255
16 20235
17 20145
18 20214
19 20214
20 20234

About Ling Dai

Ling Dai is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Neurology and Hepatology, having authored 27 papers that have together received 385 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Research Studies (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Myasthenia Gravis and Thymoma (2 papers), Cancer Genomics and Diagnostics (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Oncology (207 citations), Cancer Research (53 citations), Pulmonary and Respiratory Medicine (82 citations), Immunology (35 citations) and Molecular Biology (82 citations). Ling Dai has collaborated with scholars based in China and Ethiopia. Frequent co-authors include Weiheng Hu, Jun Nie, Guangming Tian, Xiangjuan Ma, Jindi Han, Di Wu, Xiaoling Chen, Sen Han, Jian Hong Fang and Jie Zhang. Their work appears in journals such as Frontiers in Oncology, Cancer Management and Research, Future Oncology, Cancer Medicine and Cancer Chemotherapy and Pharmacology.

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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