Naresh Aggarwal

52 total papers · 2.6k total citations
27 papers, 856 citations indexed

About

Naresh Aggarwal is a scholar working on Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Naresh Aggarwal has authored 27 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 8 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Naresh Aggarwal's work include Respiratory viral infections research (6 papers), Diabetes Treatment and Management (5 papers) and Diabetes Management and Research (5 papers). Naresh Aggarwal is often cited by papers focused on Respiratory viral infections research (6 papers), Diabetes Treatment and Management (5 papers) and Diabetes Management and Research (5 papers). Naresh Aggarwal collaborates with scholars based in United States, Canada and Belgium. Naresh Aggarwal's co-authors include George Capuano, Yue Zhao, William Canovatchel, David Polidori, Keith Usiskin, Julio Rosenstock, Michael Zlowodzki, Joanne M. Langley, Scott A. Halperin and Shelly McNeil and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and The Journal of Infectious Diseases.

In The Last Decade

Naresh Aggarwal

25 papers receiving 830 citations

Hit Papers

Dose-Ranging Effects of C... 2012 2026 2016 2021 2012 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Naresh Aggarwal 483 340 329 246 87 27 856
Constance Keyserling 223 0.5× 315 0.9× 238 0.7× 88 0.4× 123 1.4× 29 775
Martin Kankam 198 0.4× 118 0.3× 159 0.5× 173 0.7× 146 1.7× 33 760
Martha Hernandez‐Illas 154 0.3× 228 0.7× 85 0.3× 266 1.1× 119 1.4× 20 798
S. R. Munn 157 0.3× 466 1.4× 117 0.4× 137 0.6× 26 0.3× 46 859
Sun‐Mi Kim 100 0.2× 203 0.6× 226 0.7× 82 0.3× 53 0.6× 38 704
Kenneth J. Wilkins 125 0.3× 235 0.7× 237 0.7× 240 1.0× 17 0.2× 46 1.0k
Howayda M. Hassoba 236 0.5× 138 0.4× 200 0.6× 134 0.5× 23 0.3× 28 758
Tamás Szamosi 162 0.3× 331 1.0× 295 0.9× 93 0.4× 26 0.3× 29 866
Fred A. Simmons 119 0.2× 297 0.9× 299 0.9× 55 0.2× 22 0.3× 24 770
Nicholas J. Thomas 461 1.0× 338 1.0× 104 0.3× 92 0.4× 10 0.1× 34 843

Countries citing papers authored by Naresh Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naresh Aggarwal

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