Lawrence C. Blume

14 total papers · 652 total citations
8 papers, 420 citations indexed

About

Lawrence C. Blume is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Surgery. According to data from OpenAlex, Lawrence C. Blume has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Pharmacology and 4 papers in Surgery. Recurrent topics in Lawrence C. Blume's work include Neuroscience and Neuropharmacology Research (7 papers), Cannabis and Cannabinoid Research (6 papers) and Pancreatic function and diabetes (4 papers). Lawrence C. Blume is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Cannabis and Cannabinoid Research (6 papers) and Pancreatic function and diabetes (4 papers). Lawrence C. Blume collaborates with scholars based in United States, Russia and United Kingdom. Lawrence C. Blume's co-authors include Allyn C. Howlett, George D. Dalton, Dana E. Selley, Caroline E. Bass, Khalil Eldeeb, Sandra Leone‐Kabler, Steven R. Childers, Ruoyu Xiao, David C. S. Roberts and Julie R. Secor McVoy and has published in prestigious journals such as The FASEB Journal, Journal of Neurochemistry and Molecular Pharmacology.

In The Last Decade

Lawrence C. Blume

8 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Lawrence C. Blume	342	267	101	74	65	8	420
Olivier Dasse	384 1.1×	211 0.8×	73 0.7×	69 0.9×	52 0.8×	8	463
Erinn S. Raborn	349 1.0×	163 0.6×	76 0.8×	69 0.9×	36 0.6×	8	450
Alison J. Drysdale	359 1.0×	224 0.8×	66 0.7×	90 1.2×	49 0.8×	7	440
R. Mechoulam	364 1.1×	199 0.7×	80 0.8×	65 0.9×	39 0.6×	7	485
Ben Cravatt	388 1.1×	269 1.0×	41 0.4×	98 1.3×	62 1.0×	7	493
D. Parolaro	369 1.1×	252 0.9×	66 0.7×	64 0.9×	31 0.5×	8	470
Francisco Espejo‐Porras	335 1.0×	168 0.6×	84 0.8×	56 0.8×	31 0.5×	12	467
Antonella Palmisano	341 1.0×	174 0.7×	86 0.9×	50 0.7×	82 1.3×	7	409
Lily Alvarez‐Jaimes	362 1.1×	334 1.3×	74 0.7×	73 1.0×	21 0.3×	11	486
Chiara Castiglioni	375 1.1×	320 1.2×	52 0.5×	93 1.3×	23 0.4×	6	493

Countries citing papers authored by Lawrence C. Blume

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence C. Blume

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence C. Blume. 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 Lawrence C. Blume. The network helps show where Lawrence C. Blume may publish in the future.

Co-authorship network of co-authors of Lawrence C. Blume

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