J.C.R. Fernando

26 total papers · 620 total citations
22 papers, 488 citations indexed

About

J.C.R. Fernando is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, J.C.R. Fernando has authored 22 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in J.C.R. Fernando's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Pesticide Exposure and Toxicity (4 papers). J.C.R. Fernando is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Pesticide Exposure and Toxicity (4 papers). J.C.R. Fernando collaborates with scholars based in United Kingdom, United States and Canada. J.C.R. Fernando's co-authors include G. Curzon, Andrew J. Lees, John Cavanagh, B. D. Kantamaneni, Peter J. Knott, C.A. Marsden, Christopher Andrews, I.K. Ho, Beth Hoskins and Hiroshi Watanabe and has published in prestigious journals such as The Lancet, Journal of Neurochemistry and British Journal of Pharmacology.

In The Last Decade

J.C.R. Fernando

20 papers receiving 438 citations

Author Peers

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

Author Last Decade Papers Cites
J.C.R. Fernando 262 102 65 58 56 22 488
Fathi M. Sherif 252 1.0× 92 0.9× 70 1.1× 85 1.5× 53 0.9× 45 486
Jamal Shams 124 0.5× 86 0.8× 70 1.1× 37 0.6× 49 0.9× 27 474
Gillian Campling 154 0.6× 69 0.7× 42 0.6× 49 0.8× 82 1.5× 21 411
Daniel E. Knutson 237 0.9× 183 1.8× 67 1.0× 65 1.1× 53 0.9× 28 432
B.L. Goodwin 140 0.5× 118 1.2× 54 0.8× 68 1.2× 79 1.4× 19 404
Lloyd Kg 313 1.2× 147 1.4× 43 0.7× 50 0.9× 67 1.2× 20 418
Catrin Sinner 143 0.5× 75 0.7× 78 1.2× 51 0.9× 61 1.1× 11 451
Diego Correia 212 0.8× 112 1.1× 75 1.2× 60 1.0× 25 0.4× 23 501
Shufang Feng 128 0.5× 163 1.6× 60 0.9× 42 0.7× 70 1.3× 17 525
Ercan Özdemir 208 0.8× 97 1.0× 163 2.5× 40 0.7× 82 1.5× 44 503

Countries citing papers authored by J.C.R. Fernando

Since Specialization
Citations

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

Fields of papers citing papers by J.C.R. Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C.R. Fernando. 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 J.C.R. Fernando. The network helps show where J.C.R. Fernando may publish in the future.

Co-authorship network of co-authors of J.C.R. Fernando

This figure shows the co-authorship network connecting the top 25 collaborators of J.C.R. Fernando. A scholar is included among the top collaborators of J.C.R. Fernando 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 J.C.R. Fernando. J.C.R. Fernando 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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