Anisha Korde

15 total papers · 6.0k total citations
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, Saverio Cinti, Birgitte F. Vind, Jun Wu, Hua Tu, Elisabeth A. Boström, Jonathan Z. Long, Steven P. Gygi, Kyle A. Rasbach and Maria Cristina Zingaretti and has published in prestigious journals such as Nature, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Medicinal Chemistry.

In The Last Decade

Anisha Korde

9 papers receiving 3.8k citations

Hit Papers

A PGC1-α-dependent myokin... 2012 2026 2016 2021 2012 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Anisha Korde 3.3k 1.3k 1.2k 809 456 9 3.9k
Kyle A. Rasbach 4.0k 1.2× 1.5k 1.2× 2.0k 1.7× 977 1.2× 772 1.7× 14 5.2k
Birgitte F. Vind 4.2k 1.3× 1.5k 1.2× 2.0k 1.7× 914 1.1× 837 1.8× 21 5.2k
Joo Young Huh 2.8k 0.8× 974 0.8× 926 0.8× 824 1.0× 538 1.2× 23 3.1k
Valeria Golozoubova 2.5k 0.8× 928 0.7× 761 0.6× 547 0.7× 484 1.1× 26 3.1k
Mikael Heglind 2.9k 0.9× 1.3k 1.0× 770 0.7× 676 0.8× 481 1.1× 15 3.5k
Tarja Niemi 3.1k 0.9× 1.3k 1.0× 547 0.5× 773 1.0× 516 1.1× 21 3.6k
Christiane D. Wrann 2.6k 0.8× 1.1k 0.9× 1.5k 1.3× 558 0.7× 287 0.6× 35 4.9k
Sandra Kleiner 2.5k 0.8× 1.2k 0.9× 1.9k 1.6× 445 0.6× 378 0.8× 27 4.0k
Tomas B. Waldén 2.3k 0.7× 1.4k 1.1× 751 0.6× 421 0.5× 303 0.7× 16 3.0k
Janne Orava 3.1k 1.0× 1.3k 1.0× 506 0.4× 817 1.0× 544 1.2× 8 3.4k

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

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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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