Michael Yang

2.4k citations
49 papers · 1.6k · h-index 22

Impact in

Papers in

Michael Yang

45 papers receiving 1.6k citations

Peers

Michael Yang
Comparison fields: 5 of 89
  • Oncology 493
  • Radiology, Nuclear Medicine and Imaging 360
  • Pulmonary and Respiratory Medicine 411
  • Health Informatics 17
  • Aging 21
Replace Amanda Khuong with:
Amanda Khuong United States
Ingfrid S. Haldorsen Norway
Michael Allgäuer Germany
Jeanne Shen United States
M.E.P. Philippens Netherlands
Aliasgar Moiyadi India
Lucy Yates United Kingdom
Takako Morita Japan
Vladimir Valera United States
Cindy Franklin Germany
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Citations per field
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Citations per year

Countries citing papers authored by Michael Yang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018248
2 2018175
3 2001145
4 2017116
5 201475
6 201669
7 201261
8 202058
9 201655
10 202254
11 201944
12 201343
13 201439
14 201438
15 201837
16 201737
17 200532
18 201526
19 201824
20 201824

About Michael Yang

Michael Yang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (9 papers), Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Advanced X-ray and CT Imaging (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Vascular Tumors and Angiosarcomas (3 papers). The work is most often cited by research in Oncology (493 citations), Radiology, Nuclear Medicine and Imaging (360 citations), Pulmonary and Respiratory Medicine (411 citations), Health Informatics (17 citations) and Aging (21 citations). Michael Yang has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Pingfu Fu, Afshin Dowlati, Vamsidhar Velcheti, Gary Wildey, Anant Madabhushi, Adam Kresak, Philip A. Linden, Robert Gilkeson, Prabhakar Rajiah and Niha Beig. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, Molecular Cancer Therapeutics, Clinical Cancer Research and Cancer Medicine.

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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