Ananya Singh

592 total citations
29 papers, 180 citations indexed

About

Ananya Singh is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Ananya Singh has authored 29 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Ananya Singh's work include Cardiac Imaging and Diagnostics (8 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Ananya Singh is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Ananya Singh collaborates with scholars based in United States, India and Canada. Ananya Singh's co-authors include Piotr J. Slomka, Yuka Otaki, Daniel S. Berman, Damini Dey, Heidi Gransar, Robert J.H. Miller, Serge D. Van Kriekinge, Konrad Pieszko, Jacek Kwieciński and Aditya Killekar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Analytica Chimica Acta.

In The Last Decade

Ananya Singh

23 papers receiving 178 citations

Peers

Ananya Singh

RNMI

CCM

Aditya Killekar United States

Aakash Shanbhag United States

Iulia A. Popescu United Kingdom

Gabriel Maliakal United States

Nishith Khandwala United States

Stefano Scafuri Italy

Lien-Hsin Hu Taiwan

Sekeun Kim United States

Carlo Biffi United Kingdom

Danielle M. Dargis United States

Aditya Killekar United States

Ananya Singh

156 ×1.1

RNMI

77 ×1.3

64 ×1.7

CCM

21 ×1.2

10 ×0.6

Citations per year, relative to Ananya Singh Ananya Singh (= 1×) peers Aditya Killekar

Countries citing papers authored by Ananya Singh

Since Specialization

Citations

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

Fields of papers citing papers by Ananya Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ananya Singh. 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 Ananya Singh. The network helps show where Ananya Singh may publish in the future.

Co-authorship network of co-authors of Ananya Singh

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

All Works

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20 of 20 papers shown

Singh, Ananya, et al.. (2025). Multilayer Ag–Au–BP–TIBr–FASnI3 Kretschmann surface plasmon resonance biosensor for high sensitivity refractive index analysis: A computational and machine learning approach. Analytica Chimica Acta. 1384. 344991–344991.

Singh, Ananya, et al.. (2025). Analysis of Machine Learning Techniques for Prediction of Cardiac Diseases. Procedia Computer Science. 259. 1937–1946.

Kuronuma, Keiichiro, Robert J.H. Miller, Ananya Singh, et al.. (2024). Downward myocardial creep during stress PET imaging is inversely associated with mortality. European Journal of Nuclear Medicine and Molecular Imaging. 51(6). 1622–1631. 1 indexed citations

Singh, Ananya, et al.. (2024). Operational priorities for engaging with India’s private healthcare sector for the control of tuberculosis: a modelling study. BMJ Open. 14(3). e069304–e069304. 1 indexed citations

Chauhan, Amit, Rohit Kunnath Menon, Ananya Singh, & Kathiravan Srinivasan. (2024). The Role of Blockchain in Enhancing Digital Forensics: A Review of Challenges, Methodologies and Advantages. 447–454.

Singh, Ananya. (2024). EMPOWERING PATIENTS WITH AI-DRIVEN PERSONALIZED MEDICINE: A PARADIGM SHIFT IN CHRONIC DISEASE MANAGEMENT. International Journal of Advanced Research. 12(8). 1031–1038. 1 indexed citations

Kuronuma, Keiichiro, Robert J.H. Miller, Serge D. Van Kriekinge, et al.. (2023). Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables. European Journal of Nuclear Medicine and Molecular Imaging. 50(12). 3619–3629. 1 indexed citations

Singh, Ananya, et al.. (2023). Artificial Intelligence for Computer-Aided Drug Discovery. Drug Research. 73(7). 369–377. 3 indexed citations

Singh, Ananya, et al.. (2023). Highly sensitive surface plasmon-based refractive index sensor in the optical communication band using ZnS-PVP layers. 144–147.

10.

Pieszko, Konrad, Aakash Shanbhag, Aditya Killekar, et al.. (2022). Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events. JACC. Cardiovascular imaging. 16(5). 675–687. 42 indexed citations

11.

Singh, Ananya, Jacek Kwieciński, Robert J.H. Miller, et al.. (2022). Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography Images. Circulation Cardiovascular Imaging. 15(9). e014526–e014526. 25 indexed citations

12.

Singh, Ananya, Konrad Pieszko, Aakash Shanbhag, et al.. (2022). IMPROVED MORTALITY RISK ASSESSMENT FROM MYOCARDIAL PET FLOW, PERFUSION AND CALCIUM SCORES USING ARTIFICIAL INTELLIGENCE. Journal of the American College of Cardiology. 79(9). 1182–1182. 1 indexed citations

13.

Singh, Ananya, Jacek Kwieciński, Sebastien Cadet, et al.. (2022). Automated nonlinear registration of coronary PET to CT angiography using pseudo-CT generated from PET with generative adversarial networks. Journal of Nuclear Cardiology. 30(2). 604–615. 18 indexed citations

14.

Otaki, Yuka, Serge D. Van Kriekinge, Paul Kavanagh, et al.. (2021). Improved myocardial blood flow estimation with residual activity correction and motion correction in 18F-flurpiridaz PET myocardial perfusion imaging. European Journal of Nuclear Medicine and Molecular Imaging. 49(6). 1881–1893. 21 indexed citations

15.

Miller, Robert J.H., Ananya Singh, Damini Dey, & Piotr J. Slomka. (2021). Artificial Intelligence and Cardiac PET/Computed Tomography Imaging. PET Clinics. 17(1). 85–94. 5 indexed citations

16.

Otaki, Yuka, Balaji Tamarappoo, Ananya Singh, et al.. (2020). Diagnostic Accuracy of Deep Learning for Myocardial Perfusion Imaging in Men and Women with a High-Efficiency Parallel-Hole-Collimated Cadmium-Zinc-Telluride Camera: multicenter study. 61. 92–92. 8 indexed citations

17.

Dennis, Emily L., Ananya Singh, Conor K. Corbin, et al.. (2019). Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity. 126–130. 7 indexed citations

18.

Singh, Ananya, et al.. (2017). A Survey on Green Computing. IARJSET. 4(4). 72–75. 1 indexed citations

19.

Singh, Ananya, et al.. (2016). JOURNAL OF PEDIATRIC CRITICAL CARE. SHILAP Revista de lepidopterología. 3(2). 50–50. 1 indexed citations

20.

Singh, Ananya, Aman Gupta, Money Gupta, et al.. (2014). Current Status of Anti-Tuberculosis Therapy: A Patent Analysis. Recent Patents on Anti-Infective Drug Discovery. 9(1). 25–40. 4 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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