Deepthy Menon

136 total papers · 8.2k total citations
104 papers, 6.7k citations indexed

About

Deepthy Menon is a scholar working on Biomaterials, Biomedical Engineering and Surgery. According to data from OpenAlex, Deepthy Menon has authored 104 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Biomaterials, 48 papers in Biomedical Engineering and 28 papers in Surgery. Recurrent topics in Deepthy Menon's work include Electrospun Nanofibers in Biomedical Applications (29 papers), Nanoparticle-Based Drug Delivery (24 papers) and Bone Tissue Engineering Materials (21 papers). Deepthy Menon is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (29 papers), Nanoparticle-Based Drug Delivery (24 papers) and Bone Tissue Engineering Materials (21 papers). Deepthy Menon collaborates with scholars based in India, United States and Japan. Deepthy Menon's co-authors include Shantikumar V. Nair, R. Jayakumar, K. Manzoor, Hiroshi Tamura, Manzoor Koyakutty, Manzoor Koyakutty, Vibha Rani, Parwathy Chandran, Abhilash Sasidharan and Ullas Mony and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Biomaterials.

In The Last Decade

Deepthy Menon

103 papers receiving 6.6k citations

Hit Papers

Biomedical applications o... 2010 2026 2015 2020 2010 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Deepthy Menon 2.9k 2.8k 2.5k 873 646 104 6.7k
Shige Wang 4.2k 1.5× 3.3k 1.1× 2.6k 1.0× 1.2k 1.4× 625 1.0× 190 8.2k
D. Sakthi Kumar 3.0k 1.0× 2.4k 0.8× 2.9k 1.2× 1.3k 1.5× 398 0.6× 158 8.0k
Dean‐Mo Liu 3.0k 1.0× 2.1k 0.8× 1.9k 0.8× 480 0.5× 454 0.7× 133 6.6k
Jinfeng Liao 3.2k 1.1× 2.2k 0.8× 1.2k 0.5× 1.0k 1.2× 496 0.8× 113 5.9k
Vahid Serpooshan 3.7k 1.3× 2.8k 1.0× 2.6k 1.1× 2.1k 2.4× 845 1.3× 91 8.2k
Alexandra A.P. Mansur 2.3k 0.8× 2.6k 0.9× 2.1k 0.9× 752 0.9× 271 0.4× 140 7.1k
Miguel Manzano 3.0k 1.0× 2.8k 1.0× 2.7k 1.1× 1.2k 1.3× 279 0.4× 81 6.4k
Wojciech Chrzanowski 2.8k 1.0× 1.9k 0.7× 1.6k 0.6× 1.1k 1.3× 644 1.0× 157 6.4k
Adnan Memić 3.7k 1.3× 3.3k 1.2× 1.7k 0.7× 1.1k 1.3× 1.1k 1.7× 97 7.8k
Anton Ficai 2.7k 0.9× 2.7k 1.0× 2.3k 0.9× 685 0.8× 471 0.7× 247 7.1k

Countries citing papers authored by Deepthy Menon

Since Specialization
Citations

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

Fields of papers citing papers by Deepthy Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepthy Menon

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