M S Divyashree

62 total papers · 592 total citations
36 papers, 397 citations indexed

About

M S Divyashree is a scholar working on Biomaterials, Pollution and Molecular Biology. According to data from OpenAlex, M S Divyashree has authored 36 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomaterials, 14 papers in Pollution and 8 papers in Molecular Biology. Recurrent topics in M S Divyashree's work include biodegradable polymer synthesis and properties (18 papers), Microplastics and Plastic Pollution (14 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). M S Divyashree is often cited by papers focused on biodegradable polymer synthesis and properties (18 papers), Microplastics and Plastic Pollution (14 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). M S Divyashree collaborates with scholars based in India. M S Divyashree's co-authors include T. R. Shamala, Navin K. Rastogi, Lavanya Mulky, Raghu Chandrashekar Hariharapura, Baldev Raj, Reeta Davis, S. V. N. Vijayendra, A. Chandrashekar, Prakash M. Halami and Renu Agrawal and has published in prestigious journals such as Scientific Reports, Journal of Applied Microbiology and Archives of Microbiology.

In The Last Decade

M S Divyashree

33 papers receiving 385 citations

Author Peers

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

Author Last Decade Papers Cites
M S Divyashree 285 182 109 99 41 36 397
Suchada Chanprateep Napathorn 283 1.0× 164 0.9× 122 1.1× 141 1.4× 35 0.9× 27 420
Kamila Hrubanová 255 0.9× 173 1.0× 101 0.9× 134 1.4× 54 1.3× 28 418
João R. Pereira 290 1.0× 159 0.9× 100 0.9× 83 0.8× 35 0.9× 17 422
Eva Slaninová 303 1.1× 191 1.0× 83 0.8× 110 1.1× 59 1.4× 16 395
Mariel Pérez-Zabaleta 230 0.8× 170 0.9× 128 1.2× 155 1.6× 37 0.9× 18 418
Sion Ham 170 0.6× 146 0.8× 89 0.8× 114 1.2× 16 0.4× 17 370
Poorna Chandrika Sabapathy 257 0.9× 192 1.1× 105 1.0× 76 0.8× 38 0.9× 14 398
Warren Blunt 247 0.9× 150 0.8× 147 1.3× 118 1.2× 47 1.1× 18 367
Mariana Matos 258 0.9× 152 0.8× 126 1.2× 129 1.3× 33 0.8× 18 409
Hye Min Song 238 0.8× 196 1.1× 102 0.9× 102 1.0× 31 0.8× 12 387

Countries citing papers authored by M S Divyashree

Since Specialization
Citations

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

Fields of papers citing papers by M S Divyashree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M S Divyashree. 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 M S Divyashree. The network helps show where M S Divyashree may publish in the future.

Co-authorship network of co-authors of M S Divyashree

This figure shows the co-authorship network connecting the top 25 collaborators of M S Divyashree. A scholar is included among the top collaborators of M S Divyashree 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 M S Divyashree. M S Divyashree 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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