Soumya Ghose
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Anant MadabhushiRajat ThawaniNiha BeigPrateek PrasannaVamsidhar VelchetiMichael J. McLaneJhimli MitraXavier Lladó
- Topics
- Medical Image Segmentation Techniques (19 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)Prostate Cancer Diagnosis and Treatment (13 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Soumya Ghose
51 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 909
- Pulmonary and Respiratory Medicine 566
- Biomedical Engineering 360
- Computer Vision and Pattern Recognition 336
- Artificial Intelligence 213
Countries citing papers authored by Soumya Ghose
This map shows the geographic impact of Soumya Ghose'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 Soumya Ghose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumya Ghose more than expected).
Fields of papers citing papers by Soumya Ghose
This network shows the impact of papers produced by Soumya Ghose. 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 Soumya Ghose. The network helps show where Soumya Ghose may publish in the future.
Co-authorship network of co-authors of Soumya Ghose
This figure shows the co-authorship network connecting the top 25 collaborators of Soumya Ghose. A scholar is included among the top collaborators of Soumya Ghose 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 Soumya Ghose. Soumya Ghose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 19 | |
| 6 | Radiomics and radiogenomics in lung cancer: A review for the clinicianbreakdown → | 349 |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 35 | |
| 12 | 49 | |
| 13 | 47 | |
| 14 | 139 | |
| 15 | 114 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 10 | |
| 20 | 8 |
About Soumya Ghose
Soumya Ghose is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (909 citations), Health Informatics (34 citations) and Radiation (192 citations). Soumya Ghose has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Anant Madabhushi, Rajat Thawani, Niha Beig, Prateek Prasanna, Vamsidhar Velcheti, Michael J. McLane, Jhimli Mitra, Xavier Lladó, Robert Martí and Arnau Oliver. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and NeuroImage.
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.