Pragya Khanna

14 total papers · 532 total citations
8 papers, 354 citations indexed

About

Pragya Khanna is a scholar working on Water Science and Technology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems. According to data from OpenAlex, Pragya Khanna has authored 8 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Water Science and Technology, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Pragya Khanna's work include Water Quality and Pollution Assessment (2 papers), Regulation of Appetite and Obesity (1 paper) and Groundwater and Watershed Analysis (1 paper). Pragya Khanna is often cited by papers focused on Water Quality and Pollution Assessment (2 papers), Regulation of Appetite and Obesity (1 paper) and Groundwater and Watershed Analysis (1 paper). Pragya Khanna collaborates with scholars based in India and United States. Pragya Khanna's co-authors include Deepesh Khanna, Siya Khanna, B. M. Patel, Payal Kahar, H. Fölster and Mayur Parmar and has published in prestigious journals such as Proceedings of the National Academy of Sciences India Section B Biological Sciences, International Journal of Innovative Science and Research Technology (IJISRT) and Cureus.

In The Last Decade

Pragya Khanna

6 papers receiving 336 citations

Hit Papers

Obesity: A Chronic Low-Gr... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Pragya Khanna 122 99 48 41 31 8 354
Sarah McCann Haworth 121 1.0× 34 0.3× 62 1.3× 28 0.7× 23 0.7× 11 307
Siya Khanna 128 1.0× 100 1.0× 49 1.0× 41 1.0× 33 1.1× 6 353
In Seok Lee 137 1.1× 88 0.9× 68 1.4× 29 0.7× 53 1.7× 8 304
C Cohn 116 1.0× 18 0.2× 60 1.3× 32 0.8× 27 0.9× 13 373
Shima Taherkhani 135 1.1× 108 1.1× 53 1.1× 26 0.6× 17 0.5× 6 345
L. K. Forsythe 170 1.4× 131 1.3× 32 0.7× 31 0.8× 56 1.8× 5 375
Roel A. van der Heijden 168 1.4× 132 1.3× 112 2.3× 46 1.1× 21 0.7× 7 395
Javier Maravall 107 0.9× 121 1.2× 25 0.5× 49 1.2× 50 1.6× 11 323
Carolina Stryjecki 108 0.9× 80 0.8× 98 2.0× 25 0.6× 53 1.7× 9 334
David A. Brockman 156 1.3× 117 1.2× 102 2.1× 63 1.5× 19 0.6× 7 380

Countries citing papers authored by Pragya Khanna

Since Specialization
Citations

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

Fields of papers citing papers by Pragya Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragya Khanna

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