Akshay Sridhar

68 total papers · 1.1k total citations
20 papers, 653 citations indexed

About

Akshay Sridhar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Akshay Sridhar has authored 20 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Akshay Sridhar's work include Protein Structure and Dynamics (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (3 papers). Akshay Sridhar is often cited by papers focused on Protein Structure and Dynamics (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (3 papers). Akshay Sridhar collaborates with scholars based in United Kingdom, Sweden and United States. Akshay Sridhar's co-authors include Rosana Collepardo‐Guevara, Anant Madabhushi, Jerelle A. Joseph, Magdalena A. Czekalska, Simon Alberti, Ella de Csilléry, Seema Qamar, Sina Wittmann, William E. Arter and Timothy J. Welsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Akshay Sridhar

20 papers receiving 644 citations

Hit Papers

Reentrant liquid condensa... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Akshay Sridhar 471 58 54 42 41 20 653
Jianquan Li 305 0.6× 36 0.6× 72 1.3× 21 0.5× 79 1.9× 29 582
Kaupo Palo 396 0.8× 59 1.0× 39 0.7× 103 2.5× 15 0.4× 11 713
Daniel Evanko 512 1.1× 160 2.8× 48 0.9× 29 0.7× 15 0.4× 57 725
Michele Fratello 322 0.7× 18 0.3× 95 1.8× 39 0.9× 30 0.7× 35 707
Mordechai Deutsch 215 0.5× 27 0.5× 26 0.5× 57 1.4× 9 0.2× 33 599
Howard H. Wang 410 0.9× 136 2.3× 34 0.6× 13 0.3× 9 0.2× 39 752
David Marcus 370 0.8× 53 0.9× 74 1.4× 21 0.5× 10 0.2× 21 692
J. R. Einstein 365 0.8× 19 0.3× 114 2.1× 8 0.2× 43 1.0× 48 605
Fabio Urbina 284 0.6× 74 1.3× 88 1.6× 14 0.3× 49 1.2× 36 677
Jared Ostmeyer 478 1.0× 162 2.8× 57 1.1× 41 1.0× 19 0.5× 18 747

Countries citing papers authored by Akshay Sridhar

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Sridhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Sridhar

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