Prerna Shukla

63 total papers · 443 total citations
44 papers, 352 citations indexed

About

Prerna Shukla is a scholar working on Organic Chemistry, Polymers and Plastics and Physical and Theoretical Chemistry. According to data from OpenAlex, Prerna Shukla has authored 44 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Organic Chemistry, 7 papers in Polymers and Plastics and 6 papers in Physical and Theoretical Chemistry. Recurrent topics in Prerna Shukla's work include Advanced Polymer Synthesis and Characterization (17 papers), Photopolymerization techniques and applications (7 papers) and Computational Drug Discovery Methods (5 papers). Prerna Shukla is often cited by papers focused on Advanced Polymer Synthesis and Characterization (17 papers), Photopolymerization techniques and applications (7 papers) and Computational Drug Discovery Methods (5 papers). Prerna Shukla collaborates with scholars based in India and United Kingdom. Prerna Shukla's co-authors include A. K. Srivastava, A. K. Srivastava, R.C. Trivedi, Sanjay Jain, Akshay Srivastava, Ambrish Kumar Srivastava, Govind Pandey, Anil K. Srivastava, Deepak Kumar Jain and K. Ilango and has published in prestigious journals such as The Science of The Total Environment, Macromolecules and Chemical Engineering Journal.

In The Last Decade

Prerna Shukla

42 papers receiving 315 citations

Author Peers

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

Author						Papers	Cites
Prerna Shukla	215	57	54	39	32	44	352
Ifzan Arshad	147 0.7×	23 0.4×	158 2.9×	39 1.0×	13 0.4×	37	384
Imene Bayach	132 0.6×	5 0.1×	97 1.8×	65 1.7×	26 0.8×	27	319
Adam Buczkowski	136 0.6×	167 2.9×	49 0.9×	160 4.1×	49 1.5×	38	384
Yusif Abdullayev	253 1.2×	16 0.3×	34 0.6×	75 1.9×	13 0.4×	26	341
Umme Farwa	110 0.5×	20 0.4×	93 1.7×	39 1.0×	12 0.4×	29	341
Alexandra A. Kolodina	214 1.0×	34 0.6×	60 1.1×	58 1.5×	8 0.3×	52	363
Marieta Mureșan-Pop	51 0.2×	33 0.6×	156 2.9×	32 0.8×	72 2.3×	50	361
Vesna Vitnik	256 1.2×	19 0.3×	82 1.5×	42 1.1×	69 2.2×	37	402
Tatsushi Nakayama	155 0.7×	22 0.4×	16 0.3×	86 2.2×	45 1.4×	25	315
Sangeeta Yadav	173 0.8×	42 0.7×	75 1.4×	29 0.7×	19 0.6×	50	360

Countries citing papers authored by Prerna Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Prerna Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prerna Shukla

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