Leena Subramanian

21 total papers · 1.4k total citations
12 papers, 881 citations indexed

About

Leena Subramanian is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology. According to data from OpenAlex, Leena Subramanian has authored 12 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Neurology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Leena Subramanian's work include Neural and Behavioral Psychology Studies (5 papers), Functional Brain Connectivity Studies (5 papers) and Neurological disorders and treatments (3 papers). Leena Subramanian is often cited by papers focused on Neural and Behavioral Psychology Studies (5 papers), Functional Brain Connectivity Studies (5 papers) and Neurological disorders and treatments (3 papers). Leena Subramanian collaborates with scholars based in United Kingdom, Netherlands and Germany. Leena Subramanian's co-authors include David E.J. Linden, Rainer Goebel, Stephen J. Johnston, Stefanie C. Linden, Habes Isabelle, Bettina Sorger, David Healy, Tatineni Ranjit, John V. Hindle and Mark V. Roberts and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neuropsychologia.

In The Last Decade

Leena Subramanian

12 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
Leena Subramanian 625 167 145 125 123 12 881
Amanda V. Utevsky 759 1.2× 192 1.1× 222 1.5× 145 1.2× 49 0.4× 9 1.0k
Benjamin Hébert-Seropian 503 0.8× 119 0.7× 164 1.1× 224 1.8× 60 0.5× 8 836
Volker Baur 464 0.7× 210 1.3× 233 1.6× 99 0.8× 79 0.6× 17 759
Eric Featherstone 727 1.2× 143 0.9× 197 1.4× 117 0.9× 35 0.3× 8 964
K.Ranga Rama Krishnan 529 0.8× 249 1.5× 105 0.7× 292 2.3× 105 0.9× 12 999
Samuel D. Carpenter 633 1.0× 225 1.3× 114 0.8× 289 2.3× 132 1.1× 12 892
Foucaud Du Boisguéheneuc 505 0.8× 144 0.9× 110 0.8× 122 1.0× 49 0.4× 17 782
Kara A. Dyckman 756 1.2× 120 0.7× 145 1.0× 190 1.5× 58 0.5× 23 1.0k
A. Heidrich 669 1.1× 119 0.7× 210 1.4× 193 1.5× 49 0.4× 16 1.0k
Jordan E. Pierce 333 0.5× 125 0.7× 103 0.7× 152 1.2× 88 0.7× 36 784

Countries citing papers authored by Leena Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Leena Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leena Subramanian

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