Lawrence C. Blume

656 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, United Kingdom and Russia. Lawrence C. Blume's co-authors include A­llyn C. Howlett, George D. Dalton, Dana E. Selley, Caroline E. Bass, Khalil Eldeeb, Ruoyu Xiao, Steven R. Childers, David C. S. Roberts, Sandra Leone‐Kabler and Justin L. Poklis 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence C. Blume United States 7 342 267 101 74 65 8 420
Linda Console‐Bram United States 10 375 1.1× 247 0.9× 170 1.7× 65 0.9× 69 1.1× 13 563
Alison J. Drysdale United Kingdom 6 360 1.1× 224 0.8× 66 0.7× 90 1.2× 49 0.8× 7 441
Ben Cravatt United States 5 389 1.1× 269 1.0× 41 0.4× 98 1.3× 62 1.0× 7 494
Fiona Templeton United Kingdom 3 315 0.9× 187 0.7× 86 0.9× 48 0.6× 31 0.5× 4 351
Camille Soubrane United Kingdom 4 266 0.8× 188 0.7× 65 0.6× 61 0.8× 26 0.4× 5 406
Carmen Rodríguez‐Cueto Spain 14 449 1.3× 314 1.2× 129 1.3× 76 1.0× 25 0.4× 24 618
Sara Valdeolivas Spain 10 472 1.4× 346 1.3× 102 1.0× 106 1.4× 32 0.5× 12 612
Lily Alvarez‐Jaimes United States 9 366 1.1× 336 1.3× 74 0.7× 74 1.0× 21 0.3× 11 488
Natalia Murataeva United States 12 372 1.1× 146 0.5× 53 0.5× 99 1.3× 50 0.8× 17 450
Enrico Mazzarella Italy 7 413 1.2× 182 0.7× 73 0.7× 95 1.3× 51 0.8× 8 527

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

8 of 8 papers shown
1.
Budygin, Evgeny A., Erik B. Oleson, Lawrence C. Blume, et al.. (2017). Acute Depletion of D2 Receptors from the Rat Substantia Nigra Alters Dopamine Kinetics in the Dorsal Striatum and Drug Responsivity. Frontiers in Behavioral Neuroscience. 10. 248–248. 17 indexed citations
2.
Blume, Lawrence C., Khalil Eldeeb, Sandra Leone‐Kabler, et al.. (2016). Cannabinoid Receptor Interacting Protein 1a Competition with β-Arrestin for CB1 Receptor Binding Sites. Molecular Pharmacology. 91(2). 75–86. 35 indexed citations
3.
Blume, Lawrence C., Sandra Leone‐Kabler, Glen S. Marrs, et al.. (2016). Cannabinoid receptor interacting protein suppresses agonist‐drivenCB1receptor internalization and regulates receptor replenishment in an agonist‐biased manner. Journal of Neurochemistry. 139(3). 396–407. 20 indexed citations
4.
Smith, Tricia H., Lawrence C. Blume, Alex Straiker, et al.. (2015). Cannabinoid Receptor–Interacting Protein 1a Modulates CB1 Receptor Signaling and Regulation. Molecular Pharmacology. 87(4). 747–765. 48 indexed citations
5.
Blume, Lawrence C., Khalil Eldeeb, Caroline E. Bass, Dana E. Selley, & A­llyn C. Howlett. (2014). Cannabinoid receptor interacting protein (CRIP1a) attenuates CB1R signaling in neuronal cells. Cellular Signalling. 27(3). 716–726. 32 indexed citations
6.
Selley, Dana E., Tricia H. Smith, Lawrence C. Blume, et al.. (2013). Functional characterization of cannabinoid receptor‐interacting protein CRIP1a. The FASEB Journal. 27(S1). 1 indexed citations
7.
Blume, Lawrence C., Caroline E. Bass, Steven R. Childers, et al.. (2013). Striatal CB1 and D2 receptors regulate expression of each other, CRIP1A and delta opioid systems. Journal of Neurochemistry. 124(6). 808–820. 46 indexed citations
8.
Howlett, A­llyn C., Lawrence C. Blume, & George D. Dalton. (2010). CB1 Cannabinoid Receptors and their Associated Proteins. Current Medicinal Chemistry. 17(14). 1382–1393. 221 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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