Satish E. Viswanath

1.9k total citations
90 papers, 1.4k citations indexed

About

Satish E. Viswanath is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Satish E. Viswanath has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Pulmonary and Respiratory Medicine and 18 papers in Artificial Intelligence. Recurrent topics in Satish E. Viswanath's work include Radiomics and Machine Learning in Medical Imaging (47 papers), Prostate Cancer Diagnosis and Treatment (17 papers) and AI in cancer detection (17 papers). Satish E. Viswanath is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (47 papers), Prostate Cancer Diagnosis and Treatment (17 papers) and AI in cancer detection (17 papers). Satish E. Viswanath collaborates with scholars based in United States, United Kingdom and Colombia. Satish E. Viswanath's co-authors include Anant Madabhushi, B Bloch, Neil M. Rofsky, Robert E. Lenkinski, Pallavi Tiwari, Jonathan Chappelow, Róbert Tóth, Elizabeth M. Genega, Mark Rosen and Andrei S. Purysko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Satish E. Viswanath

85 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Satish E. Viswanath United States 19 837 519 282 248 170 90 1.4k
Janet E. Bailey United States 18 528 0.6× 349 0.7× 396 1.4× 104 0.4× 253 1.5× 49 1.1k
Bhavika Patel United States 21 945 1.1× 804 1.5× 561 2.0× 200 0.8× 377 2.2× 93 1.8k
Gale A. Sisney United States 14 1.2k 1.4× 350 0.7× 829 2.9× 497 2.0× 311 1.8× 21 2.2k
J. Titano United States 14 746 0.9× 294 0.6× 518 1.8× 176 0.7× 89 0.5× 31 1.7k
Tomoyuki Fujioka Japan 22 874 1.0× 161 0.3× 540 1.9× 198 0.8× 92 0.5× 94 1.5k
Gabriel Chartrand Canada 14 823 1.0× 193 0.4× 379 1.3× 332 1.3× 89 0.5× 19 1.6k
Rosalind Given-Wilson United Kingdom 20 362 0.4× 332 0.6× 447 1.6× 74 0.3× 369 2.2× 64 1.1k
Daniele La Forgia Italy 24 760 0.9× 296 0.6× 597 2.1× 157 0.6× 205 1.2× 70 1.3k
Sebastien Mulé France 20 648 0.8× 240 0.5× 128 0.5× 264 1.1× 233 1.4× 80 1.4k
Valeria Romeo Italy 26 1.1k 1.4× 513 1.0× 247 0.9× 243 1.0× 197 1.2× 103 2.0k

Countries citing papers authored by Satish E. Viswanath

Since Specialization
Citations

This map shows the geographic impact of Satish E. Viswanath'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 Satish E. Viswanath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish E. Viswanath more than expected).

Fields of papers citing papers by Satish E. Viswanath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satish E. Viswanath. 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 Satish E. Viswanath. The network helps show where Satish E. Viswanath may publish in the future.

Co-authorship network of co-authors of Satish E. Viswanath

This figure shows the co-authorship network connecting the top 25 collaborators of Satish E. Viswanath. A scholar is included among the top collaborators of Satish E. Viswanath 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 Satish E. Viswanath. Satish E. Viswanath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Viswanath, Satish E., et al.. (2025). Artificial Intelligence Applications in the Diagnosis and Management of Cirrhosis and Portal Hypertension: A Narrative Review. Techniques in vascular and interventional radiology. 28(4). 101078–101078.
2.
Huang, Katherine, Aravinda Ganapathy, Malak Itani, et al.. (2024). Quantifying 18F-Fluorodeoxyglucose Uptake in Perianal Fistulas on PET/CT: A Retrospective Analysis. Academic Radiology. 31(7). 2775–2783. 3 indexed citations
3.
Kurowski, Jacob A., et al.. (2024). Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn’s Disease on CT Enterography Across Annotation Variations and Acquisition Differences. Journal of Imaging Informatics in Medicine. 38(3). 1594–1605. 1 indexed citations
4.
Ganapathy, Aravinda, Katherine Huang, Malak Itani, et al.. (2024). Evaluating the Change in 18F-Fluorodeoxyglucose Uptake in Perianal Fistulas on PET/CT over Time: A Serial Retrospective Analysis. Academic Radiology. 31(10). 4068–4075. 1 indexed citations
5.
6.
Dave, Maneesh, Atul Dev, Rodrigo A. Somoza, et al.. (2024). MSCs mediate long-term efficacy in a Crohn’s disease model by sustained anti-inflammatory macrophage programming via efferocytosis. npj Regenerative Medicine. 9(1). 6–6. 21 indexed citations
7.
Abushamma, Suha, Radhika Smith, John A. Hickman, et al.. (2023). Su1755 DIFFERENCES IN FISTULA VOLUME PREDICT NEED FOR PERIANAL SURGERY IN PATIENTS WITH PERIANAL FISTULIZING CROHN'S DISEASE. Gastroenterology. 164(6). S–666. 1 indexed citations
8.
Weaver, John, Mandy Rickard, Lauren Erdman, et al.. (2023). Deep learning of renal scans in children with antenatal hydronephrosis. Journal of Pediatric Urology. 19(5). 514.e1–514.e7. 9 indexed citations
9.
Kazerooni, Anahita Fathi, Gregor Körzdörfer, Mathias Nittka, et al.. (2023). Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI. Investigative Radiology. 59(5). 359–371. 8 indexed citations
10.
11.
Viswanath, Satish E., Emre Görgün, İlker Özgür, et al.. (2022). Staging and Restaging of Rectal Cancer with MRI: A Pictorial Review. Seminars in Ultrasound CT and MRI. 43(6). 441–454. 3 indexed citations
12.
Sleiman, Joseph, Namita Gandhi, Mark E. Baker, et al.. (2022). Crohn's disease related strictures in cross‐sectional imaging: More than meets the eye?. United European Gastroenterology Journal. 10(10). 1167–1178. 16 indexed citations
13.
Kim, Joseph J., Neal K. Bennett, Satish E. Viswanath, et al.. (2017). Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells. Scientific Reports. 7(1). 39406–39406. 4 indexed citations
14.
Janowczyk, Andrew, Mirabela Rusu, Natalie Shih, et al.. (2016). AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Scientific Reports. 6(1). 29906–29906. 8 indexed citations
15.
Basavanhally, Ajay, Satish E. Viswanath, & Anant Madabhushi. (2015). Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer. PLoS ONE. 10(5). e0117900–e0117900. 9 indexed citations
16.
Viswanath, Satish E., Róbert Tóth, Mirabela Rusu, et al.. (2014). Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer. Neurocomputing. 144. 13–23. 12 indexed citations
17.
Viswanath, Satish E., et al.. (2014). Multiple jejunal perforations in dengue. International Journal of Advances in Medicine. 1(2). 1–1. 4 indexed citations
18.
Viswanath, Satish E. & Anant Madabhushi. (2012). Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data. BMC Bioinformatics. 13(1). 26–26. 15 indexed citations
19.
Viswanath, Satish E., B Bloch, Jonathan Chappelow, et al.. (2012). Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery. Journal of Magnetic Resonance Imaging. 36(1). 213–224. 107 indexed citations
20.
Tiwari, Pallavi, Satish E. Viswanath, George Lee, & Anant Madabhushi. (2011). Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. PubMed. 2011. 165–168. 16 indexed citations

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.

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