Gaurav Shukla

79 total papers · 1.3k total citations
35 papers, 432 citations indexed

About

Gaurav Shukla is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gaurav Shukla has authored 35 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Genetics and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gaurav Shukla's work include Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Surgical Simulation and Training (4 papers). Gaurav Shukla is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Surgical Simulation and Training (4 papers). Gaurav Shukla collaborates with scholars based in United States, India and China. Gaurav Shukla's co-authors include Spyridon Bakas, Joshua D. Palmer, Wenyin Shi, Kiran Talekar, Gregory S. Alexander, Hamed Akbari, Christos Davatzikos, Saima Rathore, Michel Bilello and Martin Rozycki and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Gaurav Shukla

32 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Gaurav Shukla	206	171	84	48	47	35	432
Alexandre Carré	336 1.6×	59 0.3×	113 1.3×	84 1.8×	32 0.7×	18	488
Adip G. Bhargav	28 0.1×	107 0.6×	90 1.1×	32 0.7×	15 0.3×	28	476
Xiang Xiao	67 0.3×	96 0.6×	66 0.8×	35 0.7×	7 0.1×	34	461
Ho Kang	60 0.3×	92 0.5×	66 0.8×	54 1.1×	11 0.2×	49	379
John H. Schneider	24 0.1×	118 0.7×	42 0.5×	94 2.0×	36 0.8×	26	485
Bo Cai	81 0.4×	44 0.3×	82 1.0×	30 0.6×	10 0.2×	33	435
Niamh Bermingham	27 0.1×	112 0.7×	15 0.2×	46 1.0×	34 0.7×	25	419
Soo Hyun Park	233 1.1×	50 0.3×	43 0.5×	43 0.9×	3 0.1×	23	483
Jasmine Chan	142 0.7×	28 0.2×	23 0.3×	113 2.4×	23 0.5×	35	410
Sanjay Dhawan	52 0.3×	151 0.9×	43 0.5×	66 1.4×	12 0.3×	37	375

Countries citing papers authored by Gaurav Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Shukla

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