Amit Singnurkar

567 total citations
18 papers, 369 citations indexed

About

Amit Singnurkar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Amit Singnurkar has authored 18 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Amit Singnurkar's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Amit Singnurkar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Amit Singnurkar collaborates with scholars based in Canada, United States and Switzerland. Amit Singnurkar's co-authors include Ur Metser, Heiko Schöder, Stephen B. Solomon, Mithat Gönen, Steven M. Larson, Maheleth Llinas, Arjun Sahgal, Yuexi Huang, James Perry and Maureen Trudeau and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Science Translational Medicine.

In The Last Decade

Amit Singnurkar

16 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Singnurkar Canada 10 151 112 110 87 35 18 369
Gregory T. Kennedy United States 15 133 0.9× 310 2.8× 281 2.6× 141 1.6× 17 0.5× 50 658
Sirish Kishore United States 14 75 0.5× 144 1.3× 76 0.7× 83 1.0× 21 0.6× 38 585
Thomas Feyerabend Germany 12 111 0.7× 127 1.1× 116 1.1× 85 1.0× 17 0.5× 41 433
Johannes HAM Kaanders Netherlands 7 148 1.0× 89 0.8× 56 0.5× 63 0.7× 17 0.5× 7 376
R. Gutmann Germany 9 90 0.6× 128 1.1× 178 1.6× 72 0.8× 13 0.4× 12 458
Jianye Liang China 16 312 2.1× 107 1.0× 62 0.6× 27 0.3× 34 1.0× 30 488
Michael Rasper Germany 11 174 1.2× 68 0.6× 150 1.4× 116 1.3× 88 2.5× 23 517
Masako Hosono Japan 10 116 0.8× 133 1.2× 28 0.3× 65 0.7× 40 1.1× 31 319
Sergiu Scobioala Germany 11 83 0.5× 151 1.3× 22 0.2× 66 0.8× 24 0.7× 37 361
Lennart Well Germany 13 144 1.0× 84 0.8× 29 0.3× 38 0.4× 59 1.7× 37 426

Countries citing papers authored by Amit Singnurkar

Since Specialization
Citations

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

Fields of papers citing papers by Amit Singnurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Singnurkar

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

All Works

18 of 18 papers shown
1.
Chan, Rachel W., Amit Singnurkar, Jay Detsky, et al.. (2025). Applications of Advanced Imaging for Radiotherapy Planning and Response Assessment in the Central Nervous System. Tomography. 11(6). 68–68.
2.
Metser, Ur, Aruz Mesci, Rosanna Chan, et al.. (2025). [18F]-FDG PET/CT in the Initial Staging of Squamous Cell Cancer of the Anal Canal: Results of a Prospective Multicenter Registry. Journal of Nuclear Medicine. 66(4). 537–542.
3.
Bigford, Gregory E., Krista L. Lanctôt, Peter Giacobbe, et al.. (2024). Engaging Mood Brain Circuits with Psilocybin (EMBRACE): a study protocol for a randomized, placebo-controlled and delayed-start, neuroimaging trial in depression. Trials. 25(1). 441–441. 1 indexed citations
4.
Singnurkar, Amit, et al.. (2024). Head-to-Head Comparison of the Diagnostic Performance of FDG PET/CT and FDG PET/MRI in Patients With Cancer: A Systematic Review and Meta-Analysis. American Journal of Roentgenology. 223(3). e2431519–e2431519. 3 indexed citations
5.
Metser, Ur, Shereen Ezzat, Simron Singh, et al.. (2023). 68Ga-DOTATATE PET/CT in the Initial Diagnosis of Patients With Clinical, Imaging, and/or Biochemical Suspicion of a Neuroendocrine Tumor. Clinical Nuclear Medicine. 48(11). 933–936. 2 indexed citations
6.
Singnurkar, Amit, et al.. (2022). 18F-FET-PET imaging in high-grade gliomas and brain metastases: a systematic review and meta-analysis. Journal of Neuro-Oncology. 161(1). 1–12. 17 indexed citations
7.
Meng, Ying, Raymond M. Reilly, Rossanna C. Pezo, et al.. (2021). MR-guided focused ultrasound enhances delivery of trastuzumab to Her2-positive brain metastases. Science Translational Medicine. 13(615). eabj4011–eabj4011. 139 indexed citations
8.
Singnurkar, Amit, et al.. (2021). P52.03 Concordance of PET Scan and EBUS-TBNA for Mediastinal Staging of Stage 3 Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 16(3). S520–S520. 1 indexed citations
9.
Singnurkar, Amit, Anand Swaminath, Ur Metser, et al.. (2020). The impact of synchronous malignancies on survival in patients with early stage curable non-small-cell lung cancer. Cancer Treatment and Research Communications. 25. 100246–100246. 1 indexed citations
10.
Metser, Ur, Anca Prica, David Hodgson, et al.. (2018). Effect of PET/CT on the Management and Outcomes of Participants with Hodgkin and Aggressive Non-Hodgkin Lymphoma: A Multicenter Registry. Radiology. 290(2). 488–495. 20 indexed citations
11.
Singnurkar, Amit, et al.. (2017). Comparison of 18F-FDG-PET/CT and 18F-FDG-PET/MR imaging in oncology: a systematic review. Annals of Nuclear Medicine. 31(5). 366–378. 32 indexed citations
12.
Juergens, Rosalyn A., Katherine Zukotynski, Amit Singnurkar, et al.. (2016). Imaging Biomarkers in Immunotherapy. SHILAP Revista de lepidopterología. 8s2(Suppl 2). BIC.S31805–BIC.S31805. 35 indexed citations
13.
Singnurkar, Amit, Jonathan Wang, Anthony M. Joshua, Deanna L. Langer, & Ur Metser. (2015). 18F-FDG-PET/CT in the Staging and Management of Melanoma. Clinical Nuclear Medicine. 41(3). 189–193. 17 indexed citations
14.
Armbruster, Marco, Christoph J. Zech, Steven Sourbron, et al.. (2013). Diagnostic accuracy of dynamic gadoxetic‐acid–enhanced MRI and PET/CT compared in patients with liver metastases from neuroendocrine neoplasms. Journal of Magnetic Resonance Imaging. 40(2). 457–466. 22 indexed citations
15.
Singnurkar, Amit, Stephen B. Solomon, Mithat Gönen, Steven M. Larson, & Heiko Schöder. (2010). 18F-FDG PET/CT for the Prediction and Detection of Local Recurrence After Radiofrequency Ablation of Malignant Lung Lesions. Journal of Nuclear Medicine. 51(12). 1833–1840. 46 indexed citations
16.
Singnurkar, Amit, et al.. (2008). Intensity of FDG Uptake Is Not Everything. Clinical Nuclear Medicine. 33(7). 455–458. 12 indexed citations
17.
Singnurkar, Amit, et al.. (2007). The appearance of Mazabraud’s syndrome on 18F-FDG PET/CT. Skeletal Radiology. 36(11). 1085–1089. 15 indexed citations
18.
Singnurkar, Amit, et al.. (2006). The “Pirate Sign” in Fibrous Dysplasia. Clinical Nuclear Medicine. 31(11). 727–728. 6 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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