Mitchell Cheung
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- Occupational and environmental lung diseases 14
- Medical Imaging and Pathology Studies 8
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
- Cancer Research top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 4
- Vascular Tumors and Angiosarcomas 2
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 7
- DNA Repair Mechanisms 3
- Biotechnology top 5%
- Cancer Research and Treatments 3
- Co-authors
- Joseph R. TestaGavin P. RobertsonArati SharmaJianming PeiEleonora SementinoYinfei TanMark KesterJin Q. Cheng
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Mitchell Cheung
28 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Pulmonary and Respiratory Medicine 987
- Cancer Research 404
- Oncology 720
- Molecular Biology 1.5k
- Biotechnology 170
Countries citing papers authored by Mitchell Cheung
This map shows the geographic impact of Mitchell Cheung'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 Mitchell Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Cheung more than expected).
Fields of papers citing papers by Mitchell Cheung
This network shows the impact of papers produced by Mitchell Cheung. 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 Mitchell Cheung. The network helps show where Mitchell Cheung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitchell Cheung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 38 | |
| 5 | 2019 | 41 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 48 | |
| 8 | 2016 | 59 | |
| 9 | 2016 | 79 | |
| 10 | 2016 | 64 | |
| 11 | 2015 | 33 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 21 | |
| 14 | 2014 | 107 | |
| 15 | 2013 | 19 | |
| 16 | 2013 | 59 | |
| 17 | 2013 | 153 | |
| 18 | Germline BAP1 mutations predispose to malignant mesotheliomabreakdown → | 2011 | 719 |
| 19 | 2010 | 51 | |
| 20 | 2009 | 48 |
About Mitchell Cheung
Mitchell Cheung is a scholar working on Pulmonary and Respiratory Medicine, Biotechnology and Molecular Biology, having authored 28 papers that have together received 2.7k indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (14 papers), Medical Imaging and Pathology Studies (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (3 papers), DNA Repair Mechanisms (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (987 citations), Cancer Research (404 citations) and Oncology (720 citations). Mitchell Cheung has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Joseph R. Testa, Gavin P. Robertson, Arati Sharma, Jianming Pei, Eleonora Sementino, Yinfei Tan, Mark Kester, Jin Q. Cheng, Lakshman Sandirasegarane and Marcus Bosenberg. Their work appears in journals such as Cancer Research, Clinical Cancer Research, BMC Cancer, Molecular Cancer Therapeutics and Nature Genetics.
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.