Preeti Kush

36 total papers · 672 total citations
20 papers, 510 citations indexed

About

Preeti Kush is a scholar working on Pharmaceutical Science, Biomaterials and Molecular Biology. According to data from OpenAlex, Preeti Kush has authored 20 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmaceutical Science, 8 papers in Biomaterials and 5 papers in Molecular Biology. Recurrent topics in Preeti Kush's work include Nanoparticle-Based Drug Delivery (7 papers), Advanced Drug Delivery Systems (6 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Preeti Kush is often cited by papers focused on Nanoparticle-Based Drug Delivery (7 papers), Advanced Drug Delivery Systems (6 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Preeti Kush collaborates with scholars based in India, South Korea and United States. Preeti Kush's co-authors include Upendra Kumar Jain, Parveen Kumar, Kanika Thakur, Ankit Jain, Ranjit Singh, Jitender Madan, Gajanand Sharma, Ajeet Kaushik, Ravi Shankar Pandey and Kirandeep Κaur and has published in prestigious journals such as Carbohydrate Polymers, International Journal of Biological Macromolecules and Materials Science and Engineering C.

In The Last Decade

Preeti Kush

20 papers receiving 501 citations

Author Peers

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

Author Last Decade Papers Cites
Preeti Kush 217 144 139 135 76 20 510
Lisa Du Toit 222 1.0× 135 0.9× 134 1.0× 213 1.6× 117 1.5× 19 612
Keke Li 225 1.0× 151 1.0× 177 1.3× 171 1.3× 52 0.7× 17 562
Peng Ji 161 0.7× 66 0.5× 161 1.2× 172 1.3× 122 1.6× 25 606
Faten Eshrati Yeganeh 179 0.8× 185 1.3× 128 0.9× 104 0.8× 100 1.3× 19 536
Saowaluk Chaleawlert‐umpon 158 0.7× 96 0.7× 79 0.6× 122 0.9× 56 0.7× 27 496
Parbeen Singh 131 0.6× 324 2.3× 120 0.9× 144 1.1× 61 0.8× 17 555
Karina Moslova 146 0.7× 107 0.7× 162 1.2× 150 1.1× 72 0.9× 22 578
Maria Hassan Kiani 119 0.5× 164 1.1× 199 1.4× 144 1.1× 136 1.8× 17 595
Dongxia Hao 81 0.4× 117 0.8× 152 1.1× 137 1.0× 139 1.8× 27 536
Jing Li 274 1.3× 90 0.6× 131 0.9× 181 1.3× 90 1.2× 18 558

Countries citing papers authored by Preeti Kush

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Kush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Kush

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