Shruti Muralidhar

16 total papers · 2.7k total citations
8 papers, 673 citations indexed

About

Shruti Muralidhar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Shruti Muralidhar has authored 8 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Shruti Muralidhar's work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (2 papers). Shruti Muralidhar is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (2 papers). Shruti Muralidhar collaborates with scholars based in United States, Switzerland and Japan. Shruti Muralidhar's co-authors include Susumu Tonegawa, Joshua Kim, Sarah LeBlanc, Xiangyu Zhang, Dheeraj S. Roy, Michele Pignatelli, Tomás J. Ryan, Henry Markram, Yun Wang and Megan E. Williams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Shruti Muralidhar

8 papers receiving 664 citations

Author Peers

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

Author Last Decade Papers Cites
Shruti Muralidhar 432 378 170 102 83 8 673
Keith Tully 346 0.8× 305 0.8× 169 1.0× 89 0.9× 106 1.3× 9 677
Sandra Ahrens 366 0.8× 345 0.9× 205 1.2× 97 1.0× 87 1.0× 7 667
Lena A. Khibnik 425 1.0× 215 0.6× 224 1.3× 98 1.0× 65 0.8× 8 603
Stephanie S. Holden 363 0.8× 383 1.0× 121 0.7× 119 1.2× 64 0.8× 6 645
Anna L. Stern 501 1.2× 341 0.9× 205 1.2× 70 0.7× 49 0.6× 9 702
Minghui Wang 286 0.7× 274 0.7× 118 0.7× 101 1.0× 139 1.7× 13 593
Matthew M. Tran 436 1.0× 401 1.1× 105 0.6× 86 0.8× 101 1.2× 5 612
Sandra L. Inman-Wood 472 1.1× 307 0.8× 84 0.5× 104 1.0× 123 1.5× 8 765
Eric W. Buss 433 1.0× 379 1.0× 164 1.0× 208 2.0× 101 1.2× 13 709
Asla Pitkänen 560 1.3× 324 0.9× 144 0.8× 80 0.8× 71 0.9× 11 739

Countries citing papers authored by Shruti Muralidhar

Since Specialization
Citations

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

Fields of papers citing papers by Shruti Muralidhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Muralidhar

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