S Shanthakumari

38 total papers · 1.0k total citations
25 papers, 788 citations indexed

About

S Shanthakumari is a scholar working on Food Science, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, S Shanthakumari has authored 25 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Food Science, 4 papers in Surgery and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in S Shanthakumari's work include Electrospun Nanofibers in Biomedical Applications (3 papers), Aquaculture disease management and microbiota (3 papers) and Bone Tissue Engineering Materials (3 papers). S Shanthakumari is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (3 papers), Aquaculture disease management and microbiota (3 papers) and Bone Tissue Engineering Materials (3 papers). S Shanthakumari collaborates with scholars based in India, France and Australia. S Shanthakumari's co-authors include Rengaswamy Sankaranarayanan, Richard Muwonge, Jacob Cherian, Rajamanickam Rajkumar, Pulikkottil Okkuru Esmy, Jean-Marie Fayette, Rajaraman Swaminathan, P Bhat, D. Prasanna Rajan and V. R. Mohan and has published in prestigious journals such as The Lancet, International Journal of Cancer and Pharmacology Biochemistry and Behavior.

In The Last Decade

S Shanthakumari

23 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
S Shanthakumari	428	274	140	61	59	25	788
Lavinia Domenici	236 0.6×	129 0.5×	238 1.7×	45 0.7×	201 3.4×	33	801
Anand Srinivasan	216 0.5×	42 0.2×	164 1.2×	67 1.1×	315 5.3×	23	885
Ana Carolina Ramos Moreno	82 0.2×	74 0.3×	77 0.6×	67 1.1×	189 3.2×	41	696
Shima Hadifar	225 0.5×	66 0.2×	70 0.5×	57 0.9×	399 6.8×	32	775
Ji Hye Kim	78 0.2×	127 0.5×	64 0.5×	57 0.9×	170 2.9×	32	715
Molly A. Ingersoll	220 0.5×	140 0.5×	292 2.1×	11 0.2×	190 3.2×	15	747
Marnie Potgieter	118 0.3×	56 0.2×	84 0.6×	38 0.6×	484 8.2×	18	874
Kyung-Tae ‍Lee	282 0.7×	131 0.5×	123 0.9×	9 0.1×	230 3.9×	31	811
Ilaria Lesnoni La Parola	272 0.6×	412 1.5×	62 0.4×	18 0.3×	158 2.7×	28	802
Walter H. Wilborn	143 0.3×	38 0.1×	79 0.6×	35 0.6×	170 2.9×	43	850

Countries citing papers authored by S Shanthakumari

Since Specialization

Citations

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

Fields of papers citing papers by S Shanthakumari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Shanthakumari

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