Tamilselvan Subramani

36 total papers · 884 total citations
27 papers, 667 citations indexed

About

Tamilselvan Subramani is a scholar working on Biomaterials, Pharmacy and Molecular Biology. According to data from OpenAlex, Tamilselvan Subramani has authored 27 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 8 papers in Pharmacy and 7 papers in Molecular Biology. Recurrent topics in Tamilselvan Subramani's work include Oral and gingival health research (8 papers), Nanoparticle-Based Drug Delivery (6 papers) and Magnetic Properties and Synthesis of Ferrites (5 papers). Tamilselvan Subramani is often cited by papers focused on Oral and gingival health research (8 papers), Nanoparticle-Based Drug Delivery (6 papers) and Magnetic Properties and Synthesis of Ferrites (5 papers). Tamilselvan Subramani collaborates with scholars based in Malaysia, India and Singapore. Tamilselvan Subramani's co-authors include Noorjahan Banu Alitheen, Mansor Hashim, S. Kanagesan, Ismayadi Ismail, Swee Keong Yeap, Abdul Rahman Omar, Mallappa Kumara Swamy, Wan Yong Ho, Sidek Ab Aziz and Ghazaleh Bahmanrokh and has published in prestigious journals such as European Heart Journal, Molecules and Journal of Periodontology.

In The Last Decade

Tamilselvan Subramani

25 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Tamilselvan Subramani	239	146	115	85	76	27	667
Seyed Reza Kasaee	412 1.7×	126 0.9×	172 1.5×	40 0.5×	96 1.3×	26	750
Murugan Dinesh	182 0.8×	143 1.0×	61 0.5×	10 0.1×	165 2.2×	58	787
Gaetano Bignardi	68 0.3×	141 1.0×	135 1.2×	38 0.4×	147 1.9×	40	752
Narges Ajalli	219 0.9×	169 1.2×	262 2.3×	46 0.5×	49 0.6×	27	675
Bhaskarjyoti Gogoi	197 0.8×	169 1.2×	48 0.4×	123 1.4×	79 1.0×	42	780
Mohsen M. Mady	132 0.6×	274 1.9×	232 2.0×	22 0.3×	75 1.0×	25	727
Sunirmal Sheet	159 0.7×	173 1.2×	36 0.3×	52 0.6×	93 1.2×	26	645
Mei Liu	72 0.3×	201 1.4×	118 1.0×	41 0.5×	18 0.2×	23	632
Satveer Jagwani	218 0.9×	118 0.8×	154 1.3×	8 0.1×	35 0.5×	14	733
Zainab Sabri Abbas	255 1.1×	124 0.8×	78 0.7×	79 0.9×	74 1.0×	43	729

Countries citing papers authored by Tamilselvan Subramani

Since Specialization

Citations

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

Fields of papers citing papers by Tamilselvan Subramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamilselvan Subramani

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