Lianne Robinson

36 total papers · 1.4k total citations
28 papers, 979 citations indexed

About

Lianne Robinson is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Lianne Robinson has authored 28 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 10 papers in Pharmacology. Recurrent topics in Lianne Robinson's work include Neuroscience and Neuropharmacology Research (14 papers), Cannabis and Cannabinoid Research (10 papers) and Memory and Neural Mechanisms (8 papers). Lianne Robinson is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Cannabis and Cannabinoid Research (10 papers) and Memory and Neural Mechanisms (8 papers). Lianne Robinson collaborates with scholars based in United Kingdom, United States and Italy. Lianne Robinson's co-authors include Gernot Riedel, Bettina Platt, Roger G. Pertwee, Paola Fadda, Robert E. Hampson, Anushka V. Goonawardena, Susan McKillop‐Smith, Walter Fratta, Stuart Cobb and Berry M. Spruijt and has published in prestigious journals such as Brain, British Journal of Pharmacology and Cellular and Molecular Life Sciences.

In The Last Decade

Lianne Robinson

26 papers receiving 960 citations

Author Peers

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

Author Last Decade Papers Cites
Lianne Robinson 480 480 392 194 123 28 979
Rita Báldi 322 0.7× 667 1.4× 440 1.1× 221 1.1× 54 0.4× 20 1.2k
Caroline Biojone 380 0.8× 450 0.9× 141 0.4× 250 1.3× 63 0.5× 37 1.1k
Olivier Lassalle 468 1.0× 487 1.0× 317 0.8× 218 1.1× 245 2.0× 26 1.0k
Juan Mendizabal‐Zubiaga 476 1.0× 612 1.3× 273 0.7× 151 0.8× 39 0.3× 20 901
Brian C. Shonesy 408 0.8× 562 1.2× 209 0.5× 294 1.5× 83 0.7× 20 1.0k
Plínio Casarotto 364 0.8× 536 1.1× 170 0.4× 201 1.0× 33 0.3× 46 1.1k
Alexandre Seillier 609 1.3× 566 1.2× 256 0.7× 104 0.5× 33 0.3× 26 1.1k
Mariana Bendlin Calzavara 242 0.5× 493 1.0× 394 1.0× 157 0.8× 35 0.3× 29 1.1k
Michaël Bazelot 543 1.1× 461 1.0× 253 0.6× 104 0.5× 66 0.5× 15 910
Fuencisla Pilar-Cuéllar 482 1.0× 610 1.3× 163 0.4× 298 1.5× 44 0.4× 40 1.2k

Countries citing papers authored by Lianne Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Lianne Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianne Robinson

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026