Santwana Padhi

44 total papers · 1.5k total citations
15 papers, 826 citations indexed

About

Santwana Padhi is a scholar working on Molecular Biology, Biomaterials and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Santwana Padhi has authored 15 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Biomaterials and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Santwana Padhi's work include Nanoparticle-Based Drug Delivery (6 papers), Cancer therapeutics and mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Santwana Padhi is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Cancer therapeutics and mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Santwana Padhi collaborates with scholars based in India, Malaysia and Saudi Arabia. Santwana Padhi's co-authors include Anindita Behera, Amit Kumar Nayak, Devina Verma, Sushama Talegaonkar, Tahir Khuroo, Amulya K. Panda, Zeenat Iqbal, Zeenat Iqbal, Hira Choudhury and Soma Patnaik and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Molecular Liquids and European Journal of Pharmaceutics and Biopharmaceutics.

In The Last Decade

Santwana Padhi

14 papers receiving 808 citations

Hit Papers

Type II diabetes mellitus... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Santwana Padhi 297 203 155 129 113 15 826
Chun Tao 311 1.0× 107 0.5× 64 0.4× 115 0.9× 69 0.6× 36 807
Anindita Behera 231 0.8× 221 1.1× 81 0.5× 51 0.4× 89 0.8× 35 785
Sangeeta Tanna 209 0.7× 160 0.8× 109 0.7× 114 0.9× 191 1.7× 45 1.0k
Kshama Devi 232 0.8× 133 0.7× 131 0.8× 301 2.3× 41 0.4× 34 892
Yanting Huang 277 0.9× 80 0.4× 66 0.4× 141 1.1× 53 0.5× 31 887
Bikash Manandhar 408 1.4× 192 0.9× 89 0.6× 29 0.2× 56 0.5× 35 1.0k
Leander Corrie 305 1.0× 81 0.4× 99 0.6× 202 1.6× 65 0.6× 42 965
Congyong Sun 303 1.0× 49 0.2× 175 1.1× 182 1.4× 91 0.8× 32 953
Xuejun Xia 385 1.3× 47 0.2× 256 1.7× 219 1.7× 169 1.5× 40 912
Ramasamy Raveendran 274 0.9× 124 0.6× 37 0.2× 37 0.3× 45 0.4× 24 1.0k

Countries citing papers authored by Santwana Padhi

Since Specialization
Citations

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

Fields of papers citing papers by Santwana Padhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santwana Padhi

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