Brian Jeffries

746 total citations
7 papers, 554 citations indexed

About

Brian Jeffries is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Brian Jeffries has authored 7 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Brian Jeffries's work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Brian Jeffries is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Brian Jeffries collaborates with scholars based in United States, France and Hungary. Brian Jeffries's co-authors include Chris J. McBain, Kenneth A. Pelkey, Ludovic Tricoire, Xiaoqing Yuan, Michael T. Craig, Ramesh Chittajallu, José A. Matta, Vitor H. Sousa, Goichi Miyoshi and Gord Fishell and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Journal of the American College of Surgeons.

In The Last Decade

Brian Jeffries

7 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Jeffries United States	5	464	255	201	158	112	7	554
Trang T. Lam United States	7	451 1.0×	249 1.0×	183 0.9×	103 0.7×	84 0.8×	9	566
Melis Inan United States	11	499 1.1×	324 1.3×	200 1.0×	86 0.5×	112 1.0×	11	650
Victoria F. Safiulina Italy	11	484 1.0×	192 0.8×	265 1.3×	91 0.6×	82 0.7×	12	624
Csaba Dávid Hungary	9	462 1.0×	383 1.5×	158 0.8×	75 0.5×	65 0.6×	14	646
József Somogyi United Kingdom	10	592 1.3×	327 1.3×	235 1.2×	152 1.0×	79 0.7×	11	674
M. Belén Pardi Germany	8	413 0.9×	307 1.2×	127 0.6×	86 0.5×	251 2.2×	8	618
George A. Prenosil Canada	8	381 0.8×	113 0.4×	245 1.2×	101 0.6×	51 0.5×	8	482
Amandine Dufour France	8	298 0.6×	111 0.4×	172 0.9×	132 0.8×	65 0.6×	12	470
Zs. Maglóczky Hungary	9	798 1.7×	420 1.6×	282 1.4×	116 0.7×	177 1.6×	10	948
Kaori Akashi Japan	6	445 1.0×	228 0.9×	260 1.3×	70 0.4×	69 0.6×	7	606

Countries citing papers authored by Brian Jeffries

Since Specialization

Citations

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

Fields of papers citing papers by Brian Jeffries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Jeffries

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Matta, José A., Kenneth A. Pelkey, Michael T. Craig, et al.. (2013). Developmental origin dictates interneuron AMPA and NMDA receptor subunit composition and plasticity. Nature Neuroscience. 16(8). 1032–1041. 84 indexed citations

2.

Chittajallu, Ramesh, Michael T. Craig, Ashley McFarland, et al.. (2013). Dual origins of functionally distinct O-LM interneurons revealed by differential 5-HT3AR expression. Nature Neuroscience. 16(11). 1598–1607. 90 indexed citations

3.

Tricoire, Ludovic, et al.. (2011). A Blueprint for the Spatiotemporal Origins of Mouse Hippocampal Interneuron Diversity. Journal of Neuroscience. 31(30). 10948–10970. 222 indexed citations

4.

Tricoire, Ludovic, Kenneth A. Pelkey, Michael I. Daw, et al.. (2010). Common Origins of Hippocampal Ivy and Nitric Oxide Synthase Expressing Neurogliaform Cells. Journal of Neuroscience. 30(6). 2165–2176. 124 indexed citations

5.

Torborg, Christine L., Allison P. Berg, Brian Jeffries, Douglas A. Bayliss, & Chris J. McBain. (2006). TASK-Like Conductances Are Present within Hippocampal CA1 Stratum Oriens Interneuron Subpopulations. Journal of Neuroscience. 26(28). 7362–7367. 32 indexed citations

6.

Knox, Robert C., et al.. (2005). 17β-Estradiol exposure leads to activation of ERK and p38 but not JNK in vascular endothelial cells. International Journal of Angiology. 13(2). 67–70. 1 indexed citations

7.

Luozzo, Gabriele Di, et al.. (2000). Endothelial cells exposed to nicotine act as a chemoattractant for vascular smooth cell migration. Journal of the American College of Surgeons. 191(4). S3–S3. 1 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.

Explore authors with similar magnitude of impact