Priya Velu

77 total papers · 2.1k total citations
30 papers, 1.0k citations indexed

About

Priya Velu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Priya Velu has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Priya Velu's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and SARS-CoV-2 detection and testing (6 papers). Priya Velu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and SARS-CoV-2 detection and testing (6 papers). Priya Velu collaborates with scholars based in United States, Switzerland and Israel. Priya Velu's co-authors include Daniel G. Isom, Bertrand García‐Moreno E., Carlos A. Castañeda, Brian R. Cannon, Vamsidhar Velcheti, Anant Madabhushi, Kaustav Bera, Pingfu Fu, Prateek Prasanna and Michael D. Feldman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Priya Velu

30 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Priya Velu	428	292	249	245	139	30	1.0k
Yuxin Shi	516 1.2×	241 0.8×	137 0.6×	67 0.3×	124 0.9×	55	1.0k
Cheng Jin	574 1.3×	159 0.5×	84 0.3×	167 0.7×	70 0.5×	33	885
Yucheng Zhang	362 0.8×	251 0.9×	523 2.1×	243 1.0×	88 0.6×	59	1.2k
Huadong Zeng	184 0.4×	123 0.4×	561 2.3×	58 0.2×	54 0.4×	42	1.2k
C. W. Smith	261 0.6×	274 0.9×	113 0.5×	173 0.7×	13 0.1×	59	1.2k
Lingyun Huang	314 0.7×	184 0.6×	458 1.8×	97 0.4×	23 0.2×	80	1.2k
Lu Jiang	179 0.4×	55 0.2×	543 2.2×	126 0.5×	38 0.3×	36	1.2k
Ruoxi Yu	217 0.5×	326 1.1×	261 1.0×	510 2.1×	26 0.2×	42	1.2k
Lin Liu	116 0.3×	128 0.4×	349 1.4×	273 1.1×	31 0.2×	35	1.1k
Konstantinos Sidiropoulos	74 0.2×	114 0.4×	638 2.6×	134 0.5×	55 0.4×	23	1.2k

Countries citing papers authored by Priya Velu

Since Specialization

Citations

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

Fields of papers citing papers by Priya Velu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Velu

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