Smitha Karunakaran

42 total papers · 845 total citations
18 papers, 682 citations indexed

About

Smitha Karunakaran is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Smitha Karunakaran has authored 18 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Smitha Karunakaran's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Agricultural pest management studies (3 papers). Smitha Karunakaran is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Agricultural pest management studies (3 papers). Smitha Karunakaran collaborates with scholars based in India, United States and Switzerland. Smitha Karunakaran's co-authors include Vijayalakshmi Ravindranath, Uzma Saeed, Ajit Ray, Latha Diwakar, Soumya Iyengar, Shanker Datt Joshi, Durga Praveen Meka, Varsha Agarwal, Pico Caroni and Ananya Chowdhury and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Scientific Reports.

In The Last Decade

Smitha Karunakaran

17 papers receiving 667 citations

Author Peers

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

Author						Papers	Cites
Smitha Karunakaran	326	252	159	145	93	18	682
Ada Ledonne	293 0.9×	425 1.7×	111 0.7×	179 1.2×	114 1.2×	31	771
Anna Traficante	269 0.8×	345 1.4×	158 1.0×	142 1.0×	57 0.6×	15	717
Lalida Rojanathammanee	263 0.8×	263 1.0×	191 1.2×	97 0.7×	166 1.8×	16	713
Nay L. Saw	377 1.2×	215 0.9×	221 1.4×	72 0.5×	117 1.3×	15	725
Peter‐A. Löschmann	256 0.8×	280 1.1×	121 0.8×	185 1.3×	119 1.3×	12	653
Adam J. Harrington	344 1.1×	138 0.5×	134 0.8×	144 1.0×	55 0.6×	14	744
Joo-Young Im	333 1.0×	196 0.8×	206 1.3×	180 1.2×	104 1.1×	12	695
Roni Dhaher	178 0.5×	317 1.3×	137 0.9×	67 0.5×	70 0.8×	16	634
Paraskevi Krashia	311 1.0×	234 0.9×	217 1.4×	71 0.5×	95 1.0×	26	732
Patricia García‐Sanz	254 0.8×	242 1.0×	195 1.2×	295 2.0×	97 1.0×	16	717

Countries citing papers authored by Smitha Karunakaran

Since Specialization

Citations

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

Fields of papers citing papers by Smitha Karunakaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smitha Karunakaran

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