Michael Yang
Impact in
- Oncology top 5%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 13
- Lung Cancer Research Studies 9
- Cancer Immunotherapy and Biomarkers 2
-
- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Pingfu Fu (12 shared papers)Afshin Dowlati (13 shared papers)Vamsidhar Velcheti (10 shared papers)Gary M. Wildey (10 shared papers)Anant Madabhushi (10 shared papers)Adam M. Kresak (9 shared papers)Philip Aaron Linden (8 shared papers)Cheng Youn Lu (4 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Cancer Medicine (2 papers)Clinical Cancer Research (2 papers)Annals of Oncology (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Michael Yang
44 papers receiving 1.9k citations
Michael Yang's Hit Papers
Peers
Comparison fields: 5 of 85
- Oncology 452
- Radiology, Nuclear Medicine and Imaging 411
- Health Informatics 30
- Genetics 100
- Pulmonary and Respiratory Medicine 313
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas Hit paper breakdown → | 2018 | 266 |
| 2 | 2001 | 229 | |
| 3 | 2018 | 203 | |
| 4 | 2001 | 142 | |
| 5 | 2017 | 134 | |
| 6 | 2014 | 81 | |
| 7 | 2016 | 77 | |
| 8 | 2022 | 68 | |
| 9 | 2020 | 65 | |
| 10 | 2012 | 64 | |
| 11 | 2016 | 56 | |
| 12 | 2019 | 47 | |
| 13 | 2014 | 45 | |
| 14 | 2013 | 44 | |
| 15 | 2014 | 39 | |
| 16 | 2017 | 39 | |
| 17 | 2018 | 39 | |
| 18 | 2005 | 32 | |
| 19 | 2015 | 27 | |
| 20 | 2017 | 25 |
About Michael Yang
Michael Yang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Endocrine and Autonomic Systems, having authored 48 papers that have together received 2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Research Studies (9 papers), Tissue Engineering and Regenerative Medicine (5 papers), Lung Cancer Treatments and Mutations (4 papers), AI in cancer detection (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Oncology (452 citations), Radiology, Nuclear Medicine and Imaging (411 citations), Health Informatics (30 citations), Genetics (100 citations) and Pulmonary and Respiratory Medicine (313 citations). Michael Yang has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Pingfu Fu, Afshin Dowlati, Vamsidhar Velcheti, Gary M. Wildey, Anant Madabhushi, Adam M. Kresak, Philip Aaron Linden, Cheng Youn Lu, Xiangxue Wang and Niha G. Beig. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Medicine, Clinical Cancer Research, Annals of Oncology and Oncotarget.
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.