Prasanna Phutane

19 total papers · 935 total citations
9 papers, 727 citations indexed

About

Prasanna Phutane is a scholar working on Biomedical Engineering, Pharmaceutical Science and Biomaterials. According to data from OpenAlex, Prasanna Phutane has authored 9 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 2 papers in Pharmaceutical Science and 2 papers in Biomaterials. Recurrent topics in Prasanna Phutane's work include Analytical Methods in Pharmaceuticals (2 papers), Advanced Drug Delivery Systems (2 papers) and Drug Solubulity and Delivery Systems (2 papers). Prasanna Phutane is often cited by papers focused on Analytical Methods in Pharmaceuticals (2 papers), Advanced Drug Delivery Systems (2 papers) and Drug Solubulity and Delivery Systems (2 papers). Prasanna Phutane collaborates with scholars based in India. Prasanna Phutane's co-authors include Supriya Shidhaye, Vilasrao J. Kadam, Darshan R. Telange, Surendra Agrawal, Anil M. Pethe, Arvindkumar E. Ghule, Surajit Sutar and Mohammad Younas and has published in prestigious journals such as Polymers, Nanomedicine Nanotechnology Biology and Medicine and Journal of Young Pharmacists.

In The Last Decade

Prasanna Phutane

6 papers receiving 706 citations

Hit Papers

Advances in polymeric mic... 2010 2026 2015 2020 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Prasanna Phutane 433 237 193 161 149 9 727
Tsz Chung Lai 346 0.8× 208 0.9× 213 1.1× 133 0.8× 106 0.7× 9 652
Damon Sutton 457 1.1× 287 1.2× 299 1.5× 90 0.6× 214 1.4× 9 875
Jubo Liu 526 1.2× 226 1.0× 252 1.3× 157 1.0× 260 1.7× 12 879
Jacob D. Ramsey 355 0.8× 242 1.0× 234 1.2× 132 0.8× 137 0.9× 19 803
Herdis Bludau 402 0.9× 198 0.8× 180 0.9× 78 0.5× 203 1.4× 7 668
Geoffrey Hollett 415 1.0× 336 1.4× 247 1.3× 89 0.6× 94 0.6× 13 795
Xiaomeng Wan 386 0.9× 193 0.8× 193 1.0× 75 0.5× 183 1.2× 14 696
Mazdak Asadian‐Birjand 374 0.9× 311 1.3× 146 0.8× 146 0.9× 127 0.9× 10 743
Xiangfei Han 323 0.7× 256 1.1× 236 1.2× 209 1.3× 96 0.6× 15 878
Seyedeh Parinaz Akhlaghi 502 1.2× 144 0.6× 171 0.9× 173 1.1× 122 0.8× 14 808

Countries citing papers authored by Prasanna Phutane

Since Specialization
Citations

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

Fields of papers citing papers by Prasanna Phutane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasanna Phutane

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