Jayprakash Yadav

17 total papers · 1.4k total citations
9 papers, 1.1k citations indexed

About

Jayprakash Yadav is a scholar working on Molecular Biology, Biomaterials and Pollution. According to data from OpenAlex, Jayprakash Yadav has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Pollution. Recurrent topics in Jayprakash Yadav's work include Enzyme Catalysis and Immobilization (4 papers), biodegradable polymer synthesis and properties (3 papers) and Essential Oils and Antimicrobial Activity (1 paper). Jayprakash Yadav is often cited by papers focused on Enzyme Catalysis and Immobilization (4 papers), biodegradable polymer synthesis and properties (3 papers) and Essential Oils and Antimicrobial Activity (1 paper). Jayprakash Yadav collaborates with scholars based in United States, India and Canada. Jayprakash Yadav's co-authors include R. D. Tyagi, S. Yan, Xianhui Li, Tanaji T. More, C.M. Ajila, Shouke Yan, Ajay Singh, R. Y. Surampalli, Jyothi Bezawada and Pramod Kumar Yadava and has published in prestigious journals such as Bioresource Technology, Applied Microbiology and Biotechnology and Journal of Environmental Management.

In The Last Decade

Jayprakash Yadav

9 papers receiving 1.0k citations

Hit Papers

Extracellular polymeric s... 2014 2026 2018 2022 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Jayprakash Yadav 387 290 219 187 161 9 1.1k
Pratima Gupta 500 1.3× 277 1.0× 128 0.6× 189 1.0× 285 1.8× 12 1.2k
Monika Priyadarshanee 352 0.9× 200 0.7× 138 0.6× 126 0.7× 306 1.9× 11 887
J.J. Godon 356 0.9× 197 0.7× 159 0.7× 200 1.1× 150 0.9× 26 913
V. B. Manilal 356 0.9× 234 0.8× 128 0.6× 130 0.7× 167 1.0× 22 964
Huijuan Xu 332 0.9× 267 0.9× 199 0.9× 201 1.1× 137 0.9× 35 1.0k
Zhengsheng Yu 231 0.6× 161 0.6× 177 0.8× 175 0.9× 205 1.3× 18 896
Simon Poirier 314 0.8× 99 0.3× 200 0.9× 151 0.8× 139 0.9× 26 886
Changxiu Gong 326 0.8× 201 0.7× 189 0.9× 294 1.6× 55 0.3× 9 880
Belén Juárez-Jiménez 421 1.1× 146 0.5× 118 0.5× 85 0.5× 136 0.8× 29 817
Céline Madigou 381 1.0× 115 0.4× 203 0.9× 189 1.0× 88 0.5× 18 895

Countries citing papers authored by Jayprakash Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Jayprakash Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayprakash Yadav

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