Greeshma Ratheesh

14 total papers · 583 total citations
7 papers, 454 citations indexed

About

Greeshma Ratheesh is a scholar working on Biomedical Engineering, Surgery and Automotive Engineering. According to data from OpenAlex, Greeshma Ratheesh has authored 7 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 2 papers in Surgery and 2 papers in Automotive Engineering. Recurrent topics in Greeshma Ratheesh's work include Bone Tissue Engineering Materials (3 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Greeshma Ratheesh is often cited by papers focused on Bone Tissue Engineering Materials (3 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Greeshma Ratheesh collaborates with scholars based in Australia, Singapore and China. Greeshma Ratheesh's co-authors include Seeram Ramakrishna, Chinnappan Baskar, Amutha Chinnappan, Jayarama Reddy Venugopal, Hariharan Ezhilarasu, Yin Xiao, Cédryck Vaquette, Lingling Tian, Tai-Ping Fan and Mohammad Asgari and has published in prestigious journals such as Journal of Materials Chemistry C, Advanced Healthcare Materials and Nanomedicine.

In The Last Decade

Greeshma Ratheesh

7 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Greeshma Ratheesh 274 139 83 65 61 7 454
S. Soundarya 300 1.1× 182 1.3× 34 0.4× 19 0.3× 29 0.5× 10 505
Muhammad Waqas 240 0.9× 258 1.9× 18 0.2× 88 1.4× 31 0.5× 14 512
Yaru Yu 308 1.1× 120 0.9× 39 0.5× 96 1.5× 41 0.7× 17 498
Mona Khafaji 255 0.9× 217 1.6× 16 0.2× 44 0.7× 120 2.0× 12 541
Debasish Mondal 238 0.9× 307 2.2× 48 0.6× 59 0.9× 29 0.5× 15 498
Bo Wang 174 0.6× 255 1.8× 28 0.3× 79 1.2× 33 0.5× 15 452
Annabelle Fricker 248 0.9× 342 2.5× 61 0.7× 27 0.4× 32 0.5× 10 538
Yongjie Chi 300 1.1× 173 1.2× 20 0.2× 41 0.6× 34 0.6× 16 539
Md. Kaiser Haider 206 0.8× 316 2.3× 20 0.2× 95 1.5× 81 1.3× 19 518
Akriti Tirkey 199 0.7× 148 1.1× 38 0.5× 19 0.3× 46 0.8× 11 406

Countries citing papers authored by Greeshma Ratheesh

Since Specialization
Citations

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

Fields of papers citing papers by Greeshma Ratheesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greeshma Ratheesh

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