Young-Pil Wang

443 citations
17 papers · 343 · h-index 9

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Pleural and Pulmonary Diseases
    • Medical Imaging and Pathology Studies
    • Tracheal and airway disorders
    • Lung Cancer Treatments and Mutations
    • Pharmacogenetics and Drug Metabolism

Papers in

Young-Pil Wang

16 papers receiving 326 citations

Peers

Young-Pil Wang
Comparison fields: 5 of 58
  • Pulmonary and Respiratory Medicine 211
  • Pharmacology 29
  • Radiology, Nuclear Medicine and Imaging 61
  • Radiation 22
  • Surgery 98
Replace C.S. Boon with:
C.S. Boon United Kingdom
Toshihiro Takaba Japan
Rajesh Balakrishnan India
Coralie Shaw United States
Kunihiko Tsutsui Japan
William Lea United States
Anuradha Thiagarajan Singapore
Y Totani Japan
Young-Pil Wang relative to C.S. Boon United Kingdom C.S. Boon's profile →
Citations per field
00.5×10×20×30×
C.S. Boon · 1×
Citations per year

Countries citing papers authored by Young-Pil Wang

Since Specialization
Citations

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

Fields of papers citing papers by Young-Pil Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199982
2 200055
3 200452
4 200941
5 201129
6 201427
7 201217
8 20049
9 20118
10 20117
11 20084
12 20024
13 20063
14 20113
15 20111
16
Prognostic value of SUVmax and metabolic tumor volume on F-18 FDG PET/CT scan in early stage NSCLC patients without LN metastasis
20111
17 20100

About Young-Pil Wang

Young-Pil Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 343 indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Medical Imaging Techniques and Applications (2 papers), Pleural and Pulmonary Diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (211 citations), Pharmacology (29 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Radiation (22 citations) and Surgery (98 citations). Young-Pil Wang has collaborated with scholars based in South Korea. Frequent co-authors include Sewha Kim, Jin‐Hyoung Kang, Byung Hyune Choi, Young Jin Ko, Joo‐Yong Lee, Young‐Min Lim, Young-Hoon Kim, Pil‐Woo Huh, Hyoung Kyun Rha and Kweon-Haeng Lee. Their work appears in journals such as The Annals of Thoracic Surgery, Molecules and Cells, Surgery Today, Journal of Korean Medical Science and Journal of Biological Chemistry.

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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