Neha Bhooshan
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Oncology
- Surgery
- Co-authors
- Maryellen L. GigerHui LiGillian M. NewsteadYading YuanSanaz A. JansenLan LiMartin J. EdelmanJosephine Feliciano
- Topics
- Radiomics and Machine Learning in Medical Imaging (14 papers)MRI in cancer diagnosis (12 papers)Lung Cancer Diagnosis and Treatment (6 papers)
- Journals
- RadiologyInternational Journal of Radiation Oncology*Biology*PhysicsMagnetic Resonance in Medicine
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Neha Bhooshan
28 papers receiving 763 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 355
- Pulmonary and Respiratory Medicine 227
- Artificial Intelligence 222
- Oncology 163
- Surgery 107
Countries citing papers authored by Neha Bhooshan
This map shows the geographic impact of Neha Bhooshan'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 Neha Bhooshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Bhooshan more than expected).
Fields of papers citing papers by Neha Bhooshan
This network shows the impact of papers produced by Neha Bhooshan. 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 Neha Bhooshan. The network helps show where Neha Bhooshan may publish in the future.
Co-authorship network of co-authors of Neha Bhooshan
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Bhooshan. A scholar is included among the top collaborators of Neha Bhooshan 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 Neha Bhooshan. Neha Bhooshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 69 | |
| 5 | 6 | |
| 6 | 30 | |
| 7 | 17 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 64 | |
| 11 | 17 | |
| 12 | Correlative Analysis of FFDM and DCE-MRI for Improved Breast CADx | 8 |
| 13 | 34 | |
| 14 | 30 | |
| 15 | 33 | |
| 16 | 159 | |
| 17 | 40 | |
| 18 | 2 | |
| 19 | 110 | |
| 20 | 5 |
About Neha Bhooshan
Neha Bhooshan is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 773 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (12 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (355 citations), Health Informatics (14 citations) and Artificial Intelligence (222 citations). Neha Bhooshan has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Maryellen L. Giger, Hui Li, Gillian M. Newstead, Yading Yuan, Sanaz A. Jansen, Lan Li, Martin J. Edelman, Josephine Feliciano, Pranshu Mohindra and Karen Drukker. Their work appears in journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.
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.