Pierre P. Massion
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 13
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Diagnosis and Treatment 73
- Lung Cancer Treatments and Mutations 45
- Oncology top 0.5%
- Lung Cancer Research Studies 30
- Molecular Biology top 1%
- RNA modifications and cancer 24
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 13
-
- Radiomics and Machine Learning in Medical Imaging 39
- Medical Imaging Techniques and Applications 16
- Co-authors
- David P. CarboneRichard M. CaprioliYu ShyrMegan D. HoeksemaAdriana L. GonzalezEric L. GroganPierre ChaurandRosana Eisenberg
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)JAMA (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Pierre P. Massion
221 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 2.1k
- Pulmonary and Respiratory Medicine 3.8k
- Oncology 3.1k
- Molecular Biology 5.1k
- Spectroscopy 921
Countries citing papers authored by Pierre P. Massion
This map shows the geographic impact of Pierre P. Massion'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 Pierre P. Massion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre P. Massion more than expected).
Fields of papers citing papers by Pierre P. Massion
This network shows the impact of papers produced by Pierre P. Massion. 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 Pierre P. Massion. The network helps show where Pierre P. Massion may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierre P. Massion, 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 | 2022 | 18 | |
| 2 | 2021 | 11 | |
| 3 | 2020 | 22 | |
| 4 | 2019 | 37 | |
| 5 | 2018 | 29 | |
| 6 | 2016 | 59 | |
| 7 | 2016 | 44 | |
| 8 | 2014 | 43 | |
| 9 | 2013 | 45 | |
| 10 | 2013 | 53 | |
| 11 | 2012 | 45 | |
| 12 | 2012 | 77 | |
| 13 | 2012 | 168 | |
| 14 | 2012 | 283 | |
| 15 | 2011 | 72 | |
| 16 | 2011 | 59 | |
| 17 | 2011 | 115 | |
| 18 | 2011 | 32 | |
| 19 | 2006 | 34 | |
| 20 | 2004 | 110 |
About Pierre P. Massion
Pierre P. Massion is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 225 papers that have together received 10.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (73 papers), Lung Cancer Treatments and Mutations (45 papers), Radiomics and Machine Learning in Medical Imaging (39 papers), Lung Cancer Research Studies (30 papers), RNA modifications and cancer (24 papers), Medical Imaging Techniques and Applications (16 papers), Cancer Genomics and Diagnostics (13 papers) and Advanced Proteomics Techniques and Applications (13 papers). The work is most often cited by research in Cancer Research (2.1k citations), Pulmonary and Respiratory Medicine (3.8k citations) and Oncology (3.1k citations). Pierre P. Massion has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include David P. Carbone, Richard M. Caprioli, Yu Shyr, Megan D. Hoeksema, Adriana L. Gonzalez, Eric L. Grogan, Pierre Chaurand, Rosana Eisenberg, Mohamed Hassanein and Heidi Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.
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.