S. Sudarsan

58 total papers · 635 total citations
45 papers, 467 citations indexed

About

S. Sudarsan is a scholar working on Molecular Medicine, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, S. Sudarsan has authored 45 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Medicine, 11 papers in Biomedical Engineering and 11 papers in Materials Chemistry. Recurrent topics in S. Sudarsan's work include Hydrogels: synthesis, properties, applications (11 papers), Conducting polymers and applications (5 papers) and Graphene and Nanomaterials Applications (5 papers). S. Sudarsan is often cited by papers focused on Hydrogels: synthesis, properties, applications (11 papers), Conducting polymers and applications (5 papers) and Graphene and Nanomaterials Applications (5 papers). S. Sudarsan collaborates with scholars based in India, Russia and Japan. S. Sudarsan's co-authors include S. Guhanathan, M. Sakthivel, David S. Franklin, Evgeny Trofimov, Mariappan Anandkumar, T. B. Sridharan, Majid Naseri, М. Н. Самодурова, Takashiro Akitsu and Barbara Mirosław and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Carbohydrate Polymers.

In The Last Decade

S. Sudarsan

38 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
S. Sudarsan	109	105	104	98	83	45	467
Jun Wei	119 1.1×	125 1.2×	65 0.6×	58 0.6×	62 0.7×	46	503
Chang Liu	67 0.6×	164 1.6×	99 1.0×	195 2.0×	118 1.4×	23	431
Anastasia Anceschi	92 0.8×	114 1.1×	139 1.3×	48 0.5×	54 0.7×	27	525
Kailun Wang	103 0.9×	82 0.8×	61 0.6×	39 0.4×	79 1.0×	36	428
Nabila A. Maziad	82 0.8×	116 1.1×	140 1.3×	72 0.7×	45 0.5×	44	506
Ioana Cătălina Gîfu	152 1.4×	112 1.1×	90 0.9×	51 0.5×	28 0.3×	44	499
V.Ya. Kabanov	75 0.7×	112 1.1×	83 0.8×	64 0.7×	42 0.5×	38	432
Xinquan Zou	85 0.8×	232 2.2×	115 1.1×	85 0.9×	98 1.2×	26	550
Sunita Rattan	90 0.8×	147 1.4×	111 1.1×	72 0.7×	31 0.4×	54	516
Chuanxing Wang	103 0.9×	107 1.0×	138 1.3×	22 0.2×	74 0.9×	38	518

Countries citing papers authored by S. Sudarsan

Since Specialization

Citations

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

Fields of papers citing papers by S. Sudarsan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Sudarsan

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