Genevieve Maquilan
- Radiation top 5%
- Advanced Radiotherapy Techniques 4
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 3
- Advances in Oncology and Radiotherapy 2
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- Radiation Therapy and Dosimetry 4
- Lung Cancer Diagnosis and Treatment 3
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- Endometrial and Cervical Cancer Treatments 3
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- Management of metastatic bone disease 3
- Co-authors
- Laura F. LandweberMariusz NowackiThomas G. DoakBrian P. HigginsEstienne C. SwartKevin AlbuquerqueMichael R. FolkertBo Zhao
- Journals
- Science (1 paper)Journal of Clinical Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (3 papers)
- Partner nations
- United StatesGermanySerbia
In The Last Decade
Genevieve Maquilan
16 papers receiving 369 citations
Peers
Comparison fields: 5 of 66
- Radiation 99
- Radiology, Nuclear Medicine and Imaging 154
- Pulmonary and Respiratory Medicine 145
- Obstetrics and Gynecology 26
- Health Informatics 4
Countries citing papers authored by Genevieve Maquilan
This map shows the geographic impact of Genevieve Maquilan'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 Genevieve Maquilan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genevieve Maquilan more than expected).
Fields of papers citing papers by Genevieve Maquilan
This network shows the impact of papers produced by Genevieve Maquilan. 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 Genevieve Maquilan. The network helps show where Genevieve Maquilan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Genevieve Maquilan, 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 | 2020 | 57 | |
| 2 | 2020 | 9 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 34 | |
| 5 | 2019 | 24 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 47 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 44 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 11 | |
| 13 | 2015 | 1 | |
| 14 | 2013 | 14 | |
| 15 | 2012 | 1 | |
| 16 | 2009 | 93 |
About Genevieve Maquilan
Genevieve Maquilan is a scholar working on Radiation, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 371 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Radiation Therapy and Dosimetry (4 papers), Advanced Radiotherapy Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Management of metastatic bone disease (3 papers) and Advances in Oncology and Radiotherapy (2 papers). The work is most often cited by research in Radiation (99 citations), Radiology, Nuclear Medicine and Imaging (154 citations) and Pulmonary and Respiratory Medicine (145 citations). Genevieve Maquilan has collaborated with scholars based in United States, Germany and Serbia. Frequent co-authors include Laura F. Landweber, Mariusz Nowacki, Thomas G. Doak, Brian P. Higgins, Estienne C. Swart, Kevin Albuquerque, Michael R. Folkert, Bo Zhao, Jing Wang and Steve Jiang. Their work appears in journals such as Science, Journal of Clinical Oncology and International Journal of Radiation Oncology*Biology*Physics.
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.