Anisha Korde

6.1k total citations · 1 hit paper
9 papers, 3.9k citations indexed

About

Anisha Korde is a scholar working on Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anisha Korde has authored 9 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anisha Korde's work include Cannabis and Cannabinoid Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Anisha Korde is often cited by papers focused on Cannabis and Cannabinoid Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Anisha Korde collaborates with scholars based in United States, Denmark and Italy. Anisha Korde's co-authors include Li Ye, Jonathan Z. Long, Mark P. Jedrychowski, James C. Lo, Kurt Højlund, Elisabeth A. Boström, Jun Wu, Saverio Cinti, Steven P. Gygi and Bruce M. Spiegelman and has published in prestigious journals such as Nature, Journal of Medicinal Chemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Anisha Korde

9 papers receiving 3.9k citations

Hit Papers

A PGC1-α-dependent myokine that drives brown-fat-like dev... 2012 2026 2016 2021 2012 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anisha Korde United States 6 3.3k 1.3k 1.2k 814 459 9 3.9k
Tore Bengtsson Sweden 30 2.8k 0.8× 1.1k 0.8× 1.2k 1.0× 526 0.6× 499 1.1× 74 3.8k
Birgitte F. Vind Denmark 17 4.2k 1.3× 1.5k 1.2× 2.0k 1.7× 918 1.1× 843 1.8× 21 5.3k
Kyle A. Rasbach United States 10 4.0k 1.2× 1.5k 1.2× 2.0k 1.7× 982 1.2× 777 1.7× 14 5.2k
Eduardo R. Ropelle Brazil 36 2.2k 0.7× 1.1k 0.8× 1.8k 1.5× 539 0.7× 610 1.3× 148 4.5k
Frode Norheim Norway 29 1.9k 0.6× 821 0.6× 1.1k 0.9× 628 0.8× 506 1.1× 50 2.9k
Adelino Sánchez Ramos da Silva Brazil 31 1.6k 0.5× 728 0.6× 819 0.7× 600 0.7× 620 1.4× 197 3.3k
Maria Cristina Zingaretti Italy 17 5.3k 1.6× 2.5k 1.9× 1.6k 1.3× 1.2k 1.5× 722 1.6× 22 6.2k
Lauren M. Sparks United States 27 4.9k 1.5× 1.9k 1.5× 1.9k 1.6× 815 1.0× 1.0k 2.2× 41 6.4k
Frédéric Daussin France 17 2.5k 0.7× 954 0.7× 1.9k 1.6× 352 0.4× 344 0.7× 34 4.8k
Pablo M. García-Rovés Spain 34 2.0k 0.6× 550 0.4× 2.0k 1.7× 432 0.5× 915 2.0× 68 3.9k

Countries citing papers authored by Anisha Korde

Since Specialization
Citations

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

Fields of papers citing papers by Anisha Korde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anisha Korde

This figure shows the co-authorship network connecting the top 25 collaborators of Anisha Korde. A scholar is included among the top collaborators of Anisha Korde 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 Anisha Korde. Anisha Korde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hua, Tian, Kiran Vemuri, Spyros P. Nikas, et al.. (2025). Crystal structures of agonist-bound human cannabinoid receptor CB1. Nature. 646(8085). 754–758. 1 indexed citations
2.
Jin, Shan, Brian Dwyer, Anisha Korde, et al.. (2020). Generation of FX −/− and Gmds −/− CHOZN host cell lines for the production of afucosylated therapeutic antibodies. Biotechnology Progress. 37(1). e3061–e3061. 6 indexed citations
3.
Laprairie, Robert B., Kiran Vemuri, Edward L. Stahl, et al.. (2019). Probing the CB1 Cannabinoid Receptor Binding Pocket with AM6538, a High-Affinity Irreversible Antagonist. Molecular Pharmacology. 96(5). 619–628. 4 indexed citations
4.
Janero, David R., Anisha Korde, & Alexandros Makriyannis. (2017). Ligand-Assisted Protein Structure (LAPS): An Experimental Paradigm for Characterizing Cannabinoid-Receptor Ligand-Binding Domains. Methods in enzymology on CD-ROM/Methods in enzymology. 593. 217–235. 6 indexed citations
5.
Finlay, David B., Erin E. Cawston, Natasha L. Grimsey, et al.. (2017). ssignalling of the CB1receptor and the influence of receptor number. British Journal of Pharmacology. 174(15). 2545–2562. 71 indexed citations
6.
Kulkarni, Pushkar M., Abhijit Kulkarni, Anisha Korde, et al.. (2015). Novel Electrophilic and Photoaffinity Covalent Probes for Mapping the Cannabinoid 1 Receptor Allosteric Site(s). Journal of Medicinal Chemistry. 59(1). 44–60. 53 indexed citations
7.
Boström, Pontus, Jun Wu, Mark P. Jedrychowski, et al.. (2012). A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis. Nature. 481(7382). 463–468. 3741 indexed citations breakdown →
8.
Boström, Pontus, Jun Wu, Mark P. Jedrychowski, et al.. (2012). Boström et al. reply. Nature. 488(7413). E10–E11. 4 indexed citations
9.
Ganta, Srinivas, et al.. (2010). A review of multifunctional nanoemulsion systems to overcome oral and CNS drug delivery barriers. Molecular Membrane Biology. 27(7). 260–273. 58 indexed citations

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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