Preethi Korangath

93 total papers · 2.3k total citations
41 papers, 1.5k citations indexed

About

Preethi Korangath is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, Preethi Korangath has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Biomaterials. Recurrent topics in Preethi Korangath's work include Nanoparticle-Based Drug Delivery (10 papers), Cancer Cells and Metastasis (5 papers) and Characterization and Applications of Magnetic Nanoparticles (4 papers). Preethi Korangath is often cited by papers focused on Nanoparticle-Based Drug Delivery (10 papers), Cancer Cells and Metastasis (5 papers) and Characterization and Applications of Magnetic Nanoparticles (4 papers). Preethi Korangath collaborates with scholars based in United States, India and China. Preethi Korangath's co-authors include Robert Ivkov, Ramadasan Kuttan, Steven Fiering, Frederik Soetaert, David Serantes, Girija Kuttan, Saraswati Sukumar, R Kuttan, Wei Wen Teo and Anirudh Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Preethi Korangath

40 papers receiving 1.5k citations

Hit Papers

Cancer therapy with iron ... 2020 2026 2022 2024 2020 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
Preethi Korangath 696 429 321 271 268 41 1.5k
Goutam Dey 711 1.0× 253 0.6× 348 1.1× 195 0.7× 270 1.0× 46 1.6k
Hongzhi Qiao 847 1.2× 404 0.9× 462 1.4× 216 0.8× 108 0.4× 47 1.8k
Yueshan Li 878 1.3× 744 1.7× 224 0.7× 162 0.6× 333 1.2× 50 2.4k
Linjiang Song 1.1k 1.6× 301 0.7× 289 0.9× 288 1.1× 243 0.9× 74 2.1k
Xuefang Bai 975 1.4× 364 0.8× 229 0.7× 235 0.9× 371 1.4× 31 2.1k
Han Qiao 736 1.1× 386 0.9× 144 0.4× 164 0.6× 305 1.1× 44 1.8k
Ying Zhu 1.1k 1.6× 386 0.9× 394 1.2× 240 0.9× 198 0.7× 53 2.1k
Meng Jia 478 0.7× 425 1.0× 218 0.7× 118 0.4× 259 1.0× 36 1.4k
Farzana Parveen 684 1.0× 335 0.8× 362 1.1× 123 0.5× 124 0.5× 36 1.6k
Wei Xia 739 1.1× 196 0.5× 227 0.7× 210 0.8× 326 1.2× 44 1.6k

Countries citing papers authored by Preethi Korangath

Since Specialization
Citations

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

Fields of papers citing papers by Preethi Korangath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethi Korangath

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