Parwathy Chandran

30 total papers · 1.6k total citations
23 papers, 1.4k citations indexed

About

Parwathy Chandran is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Parwathy Chandran has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 9 papers in Materials Chemistry and 6 papers in Molecular Biology. Recurrent topics in Parwathy Chandran's work include Graphene and Nanomaterials Applications (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Ultrasound and Hyperthermia Applications (4 papers). Parwathy Chandran is often cited by papers focused on Graphene and Nanomaterials Applications (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Ultrasound and Hyperthermia Applications (4 papers). Parwathy Chandran collaborates with scholars based in India, United States and Brazil. Parwathy Chandran's co-authors include Shantikumar V. Nair, Manzoor Koyakutty, Abhilash Sasidharan, Deepthy Menon, Leela S. Panchakarla, C. N. R. Rao, Nancy A. Monteiro‐Riviere, Anusha Ashokan, Chundayil Madathil Girish and Jim E. Riviere and has published in prestigious journals such as Carbon, Small and Nanoscale.

In The Last Decade

Parwathy Chandran

23 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Parwathy Chandran 922 799 362 207 71 23 1.4k
Xiaohong Chu 819 0.9× 869 1.1× 280 0.8× 207 1.0× 61 0.9× 50 1.5k
Samira Jafari 592 0.6× 656 0.8× 460 1.3× 536 2.6× 76 1.1× 31 1.8k
Yuchen Qi 936 1.0× 370 0.5× 303 0.8× 327 1.6× 71 1.0× 32 1.6k
Shazid Md. Sharker 912 1.0× 673 0.8× 386 1.1× 309 1.5× 77 1.1× 48 1.6k
Si‐Yuan Peng 938 1.0× 472 0.6× 221 0.6× 287 1.4× 72 1.0× 22 1.3k
Chenyao Wu 971 1.1× 820 1.0× 377 1.0× 363 1.8× 50 0.7× 52 1.7k
Xiang Hu 922 1.0× 421 0.5× 194 0.5× 370 1.8× 95 1.3× 26 1.3k
Peng Wang 373 0.4× 547 0.7× 211 0.6× 323 1.6× 39 0.5× 20 1.2k
Sujata Patra 502 0.5× 950 1.2× 278 0.8× 297 1.4× 109 1.5× 15 1.5k
Cheng Zhang 1.3k 1.4× 627 0.8× 290 0.8× 512 2.5× 35 0.5× 44 1.8k

Countries citing papers authored by Parwathy Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Parwathy Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parwathy Chandran

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