Ravindra Shukla

96 total papers · 1.1k total citations
47 papers, 760 citations indexed

About

Ravindra Shukla is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Ravindra Shukla has authored 47 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Epidemiology and 9 papers in Physiology. Recurrent topics in Ravindra Shukla's work include Essential Oils and Antimicrobial Activity (6 papers), Diabetes and associated disorders (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Ravindra Shukla is often cited by papers focused on Essential Oils and Antimicrobial Activity (6 papers), Diabetes and associated disorders (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Ravindra Shukla collaborates with scholars based in India, United Kingdom and Saudi Arabia. Ravindra Shukla's co-authors include Ashok Kumar, Nawal Kishore Dubey, Shubhra Singh, Bhanu Prakash, Priyanka Singh, Priyanka Singh, Prashant Mishra, Chandra Shekhar Prasad, Praveen Sharma and Bhawana Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the Rheumatic Diseases.

In The Last Decade

Ravindra Shukla

40 papers receiving 716 citations

Author Peers

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

Author						Papers	Cites
Ravindra Shukla	418	378	131	121	80	47	760
Xuedong Chang	274 0.7×	228 0.6×	209 1.6×	211 1.7×	42 0.5×	43	876
Valeria D’Angelo	246 0.6×	365 1.0×	226 1.7×	188 1.6×	36 0.5×	36	854
O-Jun Kwon	273 0.7×	211 0.6×	273 2.1×	203 1.7×	31 0.4×	73	892
Roberta Tardugno	322 0.8×	214 0.6×	126 1.0×	94 0.8×	21 0.3×	42	687
Iriny M. Ayoub	283 0.7×	296 0.8×	321 2.5×	222 1.8×	43 0.5×	53	899
Jorge M. Alves-Silva	386 0.9×	302 0.8×	163 1.2×	111 0.9×	26 0.3×	30	729
Expedito Leite Silva	411 1.0×	306 0.8×	178 1.4×	103 0.9×	44 0.6×	21	817
Alam Khan	178 0.4×	297 0.8×	251 1.9×	67 0.6×	56 0.7×	65	795
Jovana Kojić	251 0.6×	207 0.5×	117 0.9×	86 0.7×	25 0.3×	53	712
Jerzy Zawistowski	274 0.7×	291 0.8×	181 1.4×	280 2.3×	19 0.2×	35	889

Countries citing papers authored by Ravindra Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Ravindra Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindra Shukla

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