Prateek Prasanna
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 5%
- Genetics top 2%
- Co-authors
- Anant MadabhushiPallavi TiwariNiha BeigVamsidhar VelchetiNathaniel BramanRajat ThawaniKaustav BeraDonna Plecha
- Topics
- Radiomics and Machine Learning in Medical Imaging (67 papers)AI in cancer detection (23 papers)Glioma Diagnosis and Treatment (20 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesIndiaChina
In The Last Decade
Prateek Prasanna
97 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 2.8k
- Pulmonary and Respiratory Medicine 1.0k
- Artificial Intelligence 681
- Biomedical Engineering 577
- Genetics 548
Countries citing papers authored by Prateek Prasanna
This map shows the geographic impact of Prateek Prasanna'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 Prateek Prasanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateek Prasanna more than expected).
Fields of papers citing papers by Prateek Prasanna
This network shows the impact of papers produced by Prateek Prasanna. 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 Prateek Prasanna. The network helps show where Prateek Prasanna may publish in the future.
Co-authorship network of co-authors of Prateek Prasanna
This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Prasanna. A scholar is included among the top collaborators of Prateek Prasanna 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 Prateek Prasanna. Prateek Prasanna 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network | 2 |
| 11 | 92 | |
| 12 | 200 | |
| 13 | Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancerbreakdown → | 235 |
| 14 | Predicting Tolerance to Extended Interval Dosing in Diabetic Macular Edema and Retinal Vein Occlusion via Subvisual Feature Assessment of Ultra-widefield Angiography: Preliminary Findings in the PERMEATE study | 1 |
| 15 | 238 | |
| 16 | 74 | |
| 17 | Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRIbreakdown → | 479 |
| 18 | Radiomics and radiogenomics in lung cancer: A review for the clinicianbreakdown → | 349 |
| 19 | 84 | |
| 20 | 66 |
About Prateek Prasanna
Prateek Prasanna is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Genetics, having authored 111 papers that have together received 3.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (67 papers), AI in cancer detection (23 papers) and Glioma Diagnosis and Treatment (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Health Informatics (109 citations) and Genetics (548 citations). Prateek Prasanna has collaborated with scholars based in United States, India and China. Frequent co-authors include Anant Madabhushi, Pallavi Tiwari, Niha Beig, Vamsidhar Velcheti, Nathaniel Braman, Rajat Thawani, Kaustav Bera, Donna Plecha, Maryam Etesami and Hannah Gilmore. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.