Anirudh Ranganathan

400 citations

9 papers · 293 indexed · h-index 8

Physiology top 10%
- Adenosine and Purinergic Signaling 2
Cellular and Molecular Neuroscience
- Neuropeptides and Animal Physiology 5
Computational Theory and Mathematics top 5%
- Computational Drug Discovery Methods 3
Molecular Biology
- Receptor Mechanisms and Signaling 8
- Chemical Synthesis and Analysis 3
- Lipid Membrane Structure and Behavior 1
- Protein Structure and Dynamics 1
Radiology, Nuclear Medicine and Imaging
- Monoclonal and Polyclonal Antibodies Research 3

Co-authors: Jens Carlsson David Rodríguez Ron O. Dror Dan Chen Adriaan P. IJzerman Gregg Siegal Mariama Jaiteh Wilber Romero‐Fernandez
Cited by: Physiology Cellular and Molecular Neuroscience Computational Theory and Mathematics
Partner nations: Sweden United States Italy

In The Last Decade

Anirudh Ranganathan

9 papers receiving 287 citations

Peers

Countries citing papers authored by Anirudh Ranganathan

Since Specialization

Citations

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

Fields of papers citing papers by Anirudh Ranganathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Anirudh Ranganathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anirudh Ranganathan Line = papers co-authored together Anirudh Ranganathan links everyone, so they are left out of the graph.

All Works

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9 of 9 papers shown

#	Work
1	Mapping the Interface of a GPCR Dimer: A Structural Model of the A2A Adenosine and D2 Dopamine Receptor Heteromer Dasiel O. Borroto‐Escuela,David Rodríguez,Wilber Romero‐Fernandez,Jon Kapla,Mariama Jaiteh,Anirudh Ranganathan,Tzvetana Lazarova,Kjell Fuxé,Jens Carlsson	2018	58
2	Fragment optimization for GPCRs by molecular dynamics free energy calculations: Probing druggable subpockets of the A 2A adenosine receptor binding site Pierre Matricon,Anirudh Ranganathan,Eugene Warnick,Zhan-Guo Gao,Axel Rudling,Catia Lambertucci,Gabriella Marucci,Aitakin Ezzati,Mariama Jaiteh,Diego Dal Ben,Kenneth A. Jacobson,Jens Carlsson	2017	41
3	Ligand Discovery for a Peptide-Binding GPCR by Structure-Based Screening of Fragment- and Lead-Like Chemical Libraries Anirudh Ranganathan,Philipp Heine,Axel Rudling,Andreas Plückthun,Lutz Kummer,Jens Carlsson	2016	22
4	Discovery of GPCR Ligands by Molecular Docking Screening: Novel Opportunities Provided by Crystal Structures David Rodríguez,Anirudh Ranganathan,Jens Carlsson	2015	26
5	Fragment-Based Discovery of Subtype-Selective Adenosine Receptor Ligands from Homology Models Anirudh Ranganathan,Leigh A. Stoddart,Stephen J. Hill,Jens Carlsson	2015	20
6	Insights into the Role of Asp79^2.50in β₂Adrenergic Receptor Activation from Molecular Dynamics Simulations Anirudh Ranganathan,Ron O. Dror,Jens Carlsson	2014	53
7	Strategies for Improved Modeling of GPCR-Drug Complexes: Blind Predictions of Serotonin Receptors Bound to Ergotamine David Rodríguez,Anirudh Ranganathan,Jens Carlsson	2014	16
8	Complementarity between in Silico and Biophysical Screening Approaches in Fragment-Based Lead Discovery against the A_2AAdenosine Receptor Dan Chen,Anirudh Ranganathan,Adriaan P. IJzerman,Gregg Siegal,Jens Carlsson	2013	53
9	“Adapted Linear Interaction Energy”: A Structure-Based LIE Parametrization for Fast Prediction of Protein–Ligand Affinities Mats Linder,Anirudh Ranganathan,Tore Brinck	2012	4

About Anirudh Ranganathan

Anirudh Ranganathan is a scholar working on Physiology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), Chemical Synthesis and Analysis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Computational Drug Discovery Methods (3 papers), Adenosine and Purinergic Signaling (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Physiology (45 citations), Cellular and Molecular Neuroscience (122 citations) and Computational Theory and Mathematics (89 citations). Anirudh Ranganathan has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Jens Carlsson, David Rodríguez, Ron O. Dror, Dan Chen, Adriaan P. IJzerman, Gregg Siegal, Mariama Jaiteh, Wilber Romero‐Fernandez, Jon Kapla and Kjell Fuxé.

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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