Priyanka Arya

81 total papers · 1.4k total citations
45 papers, 740 citations indexed

About

Priyanka Arya is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Priyanka Arya has authored 45 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Pharmacology. Recurrent topics in Priyanka Arya's work include Curcumin's Biomedical Applications (6 papers), Aquaculture disease management and microbiota (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Priyanka Arya is often cited by papers focused on Curcumin's Biomedical Applications (6 papers), Aquaculture disease management and microbiota (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Priyanka Arya collaborates with scholars based in India, United States and Italy. Priyanka Arya's co-authors include Neera Raghav, Kamla Pathak, Hamid Band, Bhopal Mohapatra, Madhu Kumar, Vimla Band, Wei An, Neha Zutshi, Benjamin T. Goetz and Ravinder Kaur and has published in prestigious journals such as The Journal of Immunology, Development and Scientific Reports.

In The Last Decade

Priyanka Arya

41 papers receiving 721 citations

Author Peers

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

Author Last Decade Papers Cites
Priyanka Arya 257 123 106 81 74 45 740
Chadarat Ampasavate 352 1.4× 124 1.0× 195 1.8× 127 1.6× 88 1.2× 43 897
Meeta Gera 203 0.8× 130 1.1× 177 1.7× 92 1.1× 44 0.6× 20 692
Singkome Tima 315 1.2× 47 0.4× 142 1.3× 92 1.1× 84 1.1× 60 690
Javad Zavar Reza 212 0.8× 100 0.8× 78 0.7× 142 1.8× 34 0.5× 61 687
Ajay Kumar 229 0.9× 104 0.8× 60 0.6× 118 1.5× 36 0.5× 40 727
Neerupma Dhiman 320 1.2× 159 1.3× 38 0.4× 138 1.7× 66 0.9× 31 725
Raghu Solanki 230 0.9× 74 0.6× 96 0.9× 242 3.0× 60 0.8× 47 801
Somnath Singh 198 0.8× 241 2.0× 81 0.8× 143 1.8× 56 0.8× 34 705
Lixia Pei 308 1.2× 166 1.3× 55 0.5× 51 0.6× 29 0.4× 27 683
Ping Pei 358 1.4× 91 0.7× 61 0.6× 59 0.7× 44 0.6× 32 779

Countries citing papers authored by Priyanka Arya

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Arya

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