Sandeep Arora

83 total papers · 1.5k total citations
41 papers, 637 citations indexed

About

Sandeep Arora is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Sandeep Arora has authored 41 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in Sandeep Arora's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Sandeep Arora is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Sandeep Arora collaborates with scholars based in United States, Germany and Canada. Sandeep Arora's co-authors include Max Wintermark, Benison Lau, Jeffrey D. Chien, Elizabeth Tong, David Saloner, Karthik M. Sundaram, Antonio C. Westphalen, Richard S. Breiman, Benjamin M. Yeh and Emily M. Webb and has published in prestigious journals such as Clinical Infectious Diseases, Stroke and Annals of Neurology.

In The Last Decade

Sandeep Arora

37 papers receiving 621 citations

Author Peers

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

Author						Papers	Cites
Sandeep Arora	268	226	203	124	121	41	637
Klaus Ranniger	332 1.2×	166 0.7×	110 0.5×	203 1.6×	330 2.7×	51	763
Boris Kreuzberg	208 0.8×	69 0.3×	214 1.1×	45 0.4×	166 1.4×	40	615
Sjoerd F.M. Jenniskens	309 1.2×	193 0.9×	119 0.6×	18 0.1×	155 1.3×	39	635
Neil Patel	129 0.5×	170 0.8×	121 0.6×	135 1.1×	276 2.3×	46	632
Stefan Heinze	356 1.3×	88 0.4×	189 0.9×	19 0.2×	225 1.9×	31	764
Vera Artiko	248 0.9×	125 0.6×	144 0.7×	34 0.3×	227 1.9×	79	635
Yiu‐Wah Li	243 0.9×	209 0.9×	88 0.4×	73 0.6×	363 3.0×	50	685
Bernd Klaeser	201 0.8×	80 0.4×	330 1.6×	67 0.5×	181 1.5×	46	667
Lauren F. Alexander	240 0.9×	63 0.3×	258 1.3×	19 0.2×	230 1.9×	60	759
Pier Luigi Di Paolo	516 1.9×	92 0.4×	306 1.5×	80 0.6×	156 1.3×	41	758

Countries citing papers authored by Sandeep Arora

Since Specialization

Citations

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

Fields of papers citing papers by Sandeep Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Arora

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