Amit Singnurkar

29 total papers · 559 total citations
17 papers, 363 citations indexed

About

Amit Singnurkar is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Amit Singnurkar has authored 17 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging 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 (4 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 (4 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, Stephen B. Solomon, Heiko Schöder, Mithat Gönen, Steven M. Larson, Clement Hamani, Christopher B. Pople, Raymond M. Reilly, Sten Myrehaug 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 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Amit Singnurkar	148	110	106	86	33	17	363
M Kakehi	67 0.5×	80 0.7×	175 1.7×	31 0.4×	39 1.2×	12	342
Zhuoli Zhang	172 1.2×	97 0.9×	71 0.7×	40 0.5×	11 0.3×	16	342
Xinping Kuai	128 0.9×	53 0.5×	137 1.3×	23 0.3×	26 0.8×	15	360
Yoshiyuki Hiraki	76 0.5×	99 0.9×	108 1.0×	68 0.8×	21 0.6×	27	306
Irene Grazzini	113 0.8×	65 0.6×	22 0.2×	44 0.5×	17 0.5×	17	332
Paola Scalise	107 0.7×	64 0.6×	29 0.3×	70 0.8×	11 0.3×	17	312
Masako Hosono	116 0.8×	136 1.2×	28 0.3×	66 0.8×	40 1.2×	32	321
Yamin Mao	134 0.9×	110 1.0×	222 2.1×	31 0.4×	14 0.4×	21	382
Katherine J. Blair	66 0.4×	55 0.5×	42 0.4×	129 1.5×	16 0.5×	17	386
Ryuta Sato	81 0.5×	55 0.5×	55 0.5×	82 1.0×	20 0.6×	25	384

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

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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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