Amol Takalkar

91 total papers · 1.3k total citations
45 papers, 885 citations indexed

About

Amol Takalkar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Amol Takalkar has authored 45 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Amol Takalkar's work include Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cancer Diagnosis and Treatment (6 papers). Amol Takalkar is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cancer Diagnosis and Treatment (6 papers). Amol Takalkar collaborates with scholars based in United States, United Kingdom and Brazil. Amol Takalkar's co-authors include David L. Lilien, Abass Alavi, Hongming Zhuang, Alexander L. Klibanov, Klaus Ley, Joshua J. Rychak, Jonathan R. Lindner, Jian Q. Yu, Alok R. Khandelwal and Yan Xiu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amol Takalkar

40 papers receiving 866 citations

Author Peers

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

Author						Papers	Cites
Amol Takalkar	330	269	228	176	168	45	885
Michalis Mazonakis	364 1.1×	334 1.2×	182 0.8×	147 0.8×	131 0.8×	66	889
Munir Ghesani	343 1.0×	241 0.9×	126 0.6×	265 1.5×	127 0.8×	55	856
Natale Quartuccio	374 1.1×	255 0.9×	167 0.7×	158 0.9×	82 0.5×	74	956
Gerd Schueller	255 0.8×	130 0.5×	322 1.4×	156 0.9×	141 0.8×	43	1.0k
Alice Ferretti	377 1.1×	342 1.3×	232 1.0×	130 0.7×	81 0.5×	63	898
Horst Sack	196 0.6×	219 0.8×	206 0.9×	149 0.8×	62 0.4×	38	735
Sahar Mirpour	282 0.9×	117 0.4×	226 1.0×	105 0.6×	138 0.8×	53	916
Seong Young Kwon	380 1.2×	214 0.8×	111 0.5×	131 0.7×	122 0.7×	86	793
Jorge D. Oldan	386 1.2×	265 1.0×	120 0.5×	144 0.8×	108 0.6×	70	866
David Chee Eng Ng	293 0.9×	215 0.8×	157 0.7×	175 1.0×	71 0.4×	50	785

Countries citing papers authored by Amol Takalkar

Since Specialization

Citations

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

Fields of papers citing papers by Amol Takalkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amol Takalkar

This figure shows the co-authorship network connecting the top 25 collaborators of Amol Takalkar. A scholar is included among the top collaborators of Amol Takalkar 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 Amol Takalkar. Amol Takalkar 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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