Jun Dai

755 citations
21 papers · 575 · h-index 10

Impact in

Papers in

    • Nasal Surgery and Airway Studies 2
    • Bladder and Urothelial Cancer Treatments 2
    • Adrenal and Paraganglionic Tumors 2
    • Renal cell carcinoma treatment 3
    • Ferroptosis and cancer prognosis 2

Jun Dai

21 papers receiving 559 citations

Peers

Jun Dai
Comparison fields: 5 of 77
  • Hepatology 150
  • Immunology and Allergy 51
  • Cell Biology 89
  • Biochemistry 39
  • Hematology 42
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Citations per field
00.5×1.6×
James Surapisitchat · 1×
Citations per year

Countries citing papers authored by Jun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997175
2 2005130
3 200252
4
Effects of cigarette smoke on nitric oxide synthase expression in the rat lung.
199944
5 199742
6 202025
7 199516
8 199616
9 202216
10 201914
11 19997
12 20236
13 20236
14 20246
15
Multi-targeted tyrosine kinase inhibitor sunitinib: a novel strategy for sporadic malignant pheochromocytoma.
20125
16 19924
17 20224
18 20224
19 20231
20
Combination of CO2 laser-assisted uvulopalatopharyngoplasty and nasal cavity expansion enhances treatment of obstructive sleep apnea-hypopnea syndrome.
20151

About Jun Dai

Jun Dai is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Physiology, Cancer Research and Molecular Biology, having authored 21 papers that have together received 575 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Nasal Surgery and Airway Studies (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA modifications and cancer (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Hepatology (150 citations), Immunology and Allergy (51 citations), Cell Biology (89 citations), Biochemistry (39 citations) and Hematology (42 citations). Jun Dai has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include David D. Ku, B Luo, Zhiyong Hou, Aimee M. Powelka, Bryan A. Ballif, Steven P. Gygi, Jian Li, Victor W. Hsu, Gary A. Abrams and Michael B. Fallon. Their work appears in journals such as Mini-Reviews in Medicinal Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Endocrine Connections and Frontiers in Immunology.

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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