Duo Wang

416 citations
25 papers · 266 · h-index 9

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 3
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
    • Sarcoma Diagnosis and Treatment 1
    • Ferroptosis and cancer prognosis 1
    • Cancer-related molecular mechanisms research 3
    • Cancer Genomics and Diagnostics 2

Duo Wang

20 papers receiving 264 citations

Peers

Duo Wang
Comparison fields: 5 of 47
  • Immunology 84
  • Critical Care and Intensive Care Medicine 10
  • Cancer Research 30
  • Oncology 54
  • Pulmonary and Respiratory Medicine 58
Replace Tingxuan Gu with:
Tingxuan Gu China
Ludovica Arpinati Israel
Divya Nagarajan United Kingdom
Xue Dong China
Aditi Murthy United States
Kaixin Du China
François Audhuy United States
Dairong Li China
Kevin S. Clive United States
Duo Wang relative to Tingxuan Gu China Tingxuan Gu's profile →
Citations per field
00.5×1.5×2.5×
Tingxuan Gu · 1×
Citations per year

Countries citing papers authored by Duo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Duo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202363
2 202142
3 202124
4 202220
5 202018
6 202316
7 202416
8 202211
9 202410
10 20228
11 20228
12 20166
13 20236
14 20195
15 20234
16 20223
17 20232
18 20232
19 20231
20 20241

About Duo Wang

Duo Wang is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Oncology and Physiology, having authored 25 papers that have together received 266 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Immunology (84 citations), Critical Care and Intensive Care Medicine (10 citations), Cancer Research (30 citations), Oncology (54 citations) and Pulmonary and Respiratory Medicine (58 citations). Duo Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zeyu Xiao, Cuiqing Huang, Hong Zhang, Yanyu Huang, Jifeng Chen, Genwen Hu, Bin Liu, Kuan Hu, Liangping Luo and Weimin Fang. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Bioactive Materials, Clinica Chimica Acta and Biotechnology Advances.

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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