Maryam Etesami
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Donna PlechaPrateek PrasannaNathaniel BramanAnant MadabhushiYe QiaoHannah GilmoreBruce A. WassermanPrabhakar Rajiah
- Topics
- Cerebrovascular and Carotid Artery Diseases (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Imaging Techniques and Applications (5 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Maryam Etesami
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 647
- Biomedical Engineering 300
- Epidemiology 269
- Cardiology and Cardiovascular Medicine 247
Countries citing papers authored by Maryam Etesami
This map shows the geographic impact of Maryam Etesami'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 Maryam Etesami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Etesami more than expected).
Fields of papers citing papers by Maryam Etesami
This network shows the impact of papers produced by Maryam Etesami. 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 Maryam Etesami. The network helps show where Maryam Etesami may publish in the future.
Co-authorship network of co-authors of Maryam Etesami
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Etesami. A scholar is included among the top collaborators of Maryam Etesami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maryam Etesami. Maryam Etesami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. | 2 |
| 6 | Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancerbreakdown → | 235 |
| 7 | 6 | |
| 8 | 62 | |
| 9 | Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRIbreakdown → | 479 |
| 10 | 199 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 42 | |
| 14 | 45 | |
| 15 | 8 | |
| 16 | 232 | |
| 17 | 60 | |
| 18 | 111 | |
| 19 | 2 |
About Maryam Etesami
Maryam Etesami is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Pulmonary and Respiratory Medicine (647 citations) and Neurology (187 citations). Maryam Etesami has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Donna Plecha, Prateek Prasanna, Nathaniel Braman, Anant Madabhushi, Ye Qiao, Hannah Gilmore, Bruce A. Wasserman, Prabhakar Rajiah, Brad C. Astor and Pallavi Tiwari. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Radiology.
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.