Melissa Chen
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
- Co-authors
- Gregory N. Nicola (4 shared papers)Jason M. Johnson (10 shared papers)Stephen Chen (5 shared papers)Frederick F. Lang (5 shared papers)Peter Kan (4 shared papers)Maria Gule-Monroe (9 shared papers)Max Wintermark (9 shared papers)Tina M. Briere (3 shared papers)
- Journals
- American Journal of Neuroradiology (6 papers)Journal of Clinical Oncology (5 papers)Journal of the American College of Radiology (3 papers)Blood (3 papers)Journal of NeuroInterventional Surgery (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Melissa Chen
74 papers receiving 994 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 50
- Genetics 128
- Radiology, Nuclear Medicine and Imaging 143
- Pulmonary and Respiratory Medicine 140
- Neurology 36
Countries citing papers authored by Melissa Chen
This map shows the geographic impact of Melissa Chen'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 Melissa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Chen more than expected).
Fields of papers citing papers by Melissa Chen
This network shows the impact of papers produced by Melissa Chen. 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 Melissa Chen. The network helps show where Melissa Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa Chen, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2011 | 83 | |
| 3 | 2020 | 77 | |
| 4 | 2014 | 62 | |
| 5 | 2018 | 62 | |
| 6 | 2021 | 49 | |
| 7 | 2021 | 47 | |
| 8 | 2020 | 30 | |
| 9 | 2020 | 23 | |
| 10 | 2017 | 23 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2023 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2020 | 16 |
About Melissa Chen
Melissa Chen is a scholar working on Genetics, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Brain Metastases and Treatment (5 papers), Head and Neck Surgical Oncology (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Radiation Dose and Imaging (4 papers), Meningioma and schwannoma management (4 papers), Sinusitis and nasal conditions (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (50 citations), Genetics (128 citations), Radiology, Nuclear Medicine and Imaging (143 citations), Pulmonary and Respiratory Medicine (140 citations) and Neurology (36 citations). Melissa Chen has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Gregory N. Nicola, Jason M. Johnson, Stephen Chen, Frederick F. Lang, Peter Kan, Maria Gule-Monroe, Max Wintermark, Tina M. Briere, Aram Parsegian and Mark D. Pagel. Their work appears in journals such as American Journal of Neuroradiology, Journal of Clinical Oncology, Journal of the American College of Radiology, Blood and Journal of NeuroInterventional Surgery.
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.