Michael Yang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Oncology top 5%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
Papers in
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- Lung Cancer Diagnosis and Treatment 9
- Lung Cancer Treatments and Mutations 6
- Oncology 18
- Lung Cancer Research Studies 9
- Co-authors
- Pingfu Fu (12 shared papers)Afshin Dowlati (15 shared papers)Vamsidhar Velcheti (10 shared papers)Gary Wildey (11 shared papers)Adam Kresak (10 shared papers)Anant Madabhushi (10 shared papers)Philip A. Linden (8 shared papers)Niha Beig (5 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Annals of Oncology (2 papers)Oncotarget (2 papers)Molecular Cancer Therapeutics (2 papers)Cancer Medicine (2 papers)
- Partner nations
- United StatesAustraliaGreece
In The Last Decade
Michael Yang
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 503
- Oncology 592
- Pulmonary and Respiratory Medicine 578
- Health Informatics 19
- Aging 21
Countries citing papers authored by Michael Yang
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
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.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 238 | |
| 2 | 2018 | 162 | |
| 3 | 2001 | 143 | |
| 4 | 2017 | 111 | |
| 5 | 2014 | 75 | |
| 6 | 2016 | 69 | |
| 7 | 2012 | 58 | |
| 8 | 2016 | 53 | |
| 9 | 2020 | 51 | |
| 10 | 2022 | 48 | |
| 11 | 2019 | 43 | |
| 12 | 2013 | 42 | |
| 13 | 2014 | 38 | |
| 14 | 2014 | 36 | |
| 15 | 2017 | 35 | |
| 16 | 2018 | 34 | |
| 17 | 2005 | 32 | |
| 18 | 2015 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2018 | 22 |
About Michael Yang
Michael Yang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Research Studies (9 papers), Lung Cancer Diagnosis and Treatment (9 papers), Neuroendocrine Tumor Research Advances (7 papers), Lung Cancer Treatments and Mutations (6 papers), Advanced X-ray and CT Imaging (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (503 citations), Oncology (592 citations), Pulmonary and Respiratory Medicine (578 citations), Health Informatics (19 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, Adam Kresak, Anant Madabhushi, Philip A. Linden, Niha Beig, Prabhakar Rajiah and Robert Gilkeson. Their work appears in journals such as Clinical Cancer Research, Annals of Oncology, Oncotarget, Molecular Cancer Therapeutics 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.