Brian W. McFerran

2.4k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Brian W. McFerran is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Brian W. McFerran has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Brian W. McFerran's work include Receptor Mechanisms and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Brian W. McFerran is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Brian W. McFerran collaborates with scholars based in United Kingdom, United States and Germany. Brian W. McFerran's co-authors include Walter Kölch, Kam C. Yeung, David W. Rose, John M. Sedivy, Harald Mischak, Petra Janosch, Robert D. Burgoyne, Frances Fee, Christian Kaiser and Shengfeng Li and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Brian W. McFerran

16 papers receiving 1.8k citations

Hit Papers

Suppression of Raf-1 kinase activity and MAP kinase signa... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian W. McFerran United Kingdom 12 1.5k 484 305 257 215 16 1.8k
Petra Janosch Germany 11 1.6k 1.0× 378 0.8× 191 0.6× 113 0.4× 330 1.5× 11 2.0k
Carol J. Fiol United States 17 2.6k 1.7× 219 0.5× 483 1.6× 244 0.9× 391 1.8× 22 3.1k
Benoît Bilanges United Kingdom 20 2.0k 1.3× 252 0.5× 322 1.1× 260 1.0× 378 1.8× 27 2.9k
Colleen A. Vanderbilt United States 11 1.5k 1.0× 96 0.2× 336 1.1× 168 0.7× 249 1.2× 13 2.0k
Jessie M. English United States 19 2.2k 1.5× 185 0.4× 348 1.1× 184 0.7× 496 2.3× 24 2.9k
Clive Mason United Kingdom 13 1.6k 1.0× 171 0.4× 307 1.0× 106 0.4× 336 1.6× 21 1.9k
Jeroen van der Kaay United Kingdom 18 2.0k 1.3× 146 0.3× 534 1.8× 163 0.6× 239 1.1× 26 2.6k
Takuji Tanoue Japan 17 2.0k 1.3× 130 0.3× 569 1.9× 106 0.4× 261 1.2× 17 2.3k
Stephen R. James United Kingdom 13 2.6k 1.7× 176 0.4× 502 1.6× 150 0.6× 282 1.3× 19 3.2k
Christopher J. Caunt United Kingdom 25 1.5k 1.0× 150 0.3× 246 0.8× 100 0.4× 317 1.5× 40 2.3k

Countries citing papers authored by Brian W. McFerran

Since Specialization
Citations

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

Fields of papers citing papers by Brian W. McFerran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian W. McFerran

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

All Works

16 of 16 papers shown
1.
Shin, Sung‐Young, Oliver Rath, Sang‐Mok Choo, et al.. (2009). Positive- and negative-feedback regulations coordinate the dynamic behavior of the Ras-Raf-MEK-ERK signal transduction pathway. Journal of Cell Science. 122(3). 425–435. 138 indexed citations
2.
Leith, John T., et al.. (2005). Development of a Novel High-Throughput Assay for the Investigation of GlyT-1b Neurotransmitter Transporter Function. Combinatorial Chemistry & High Throughput Screening. 9(1). 9–14. 5 indexed citations
3.
Yeung, Kam C., David W. Rose, Amardeep S. Dhillon, et al.. (2001). Raf Kinase Inhibitor Protein Interacts with NF-κB-Inducing Kinase and TAK1 and Inhibits NF-κB Activation. Molecular and Cellular Biology. 21(21). 7207–7217. 318 indexed citations
4.
Yeung, Kam C., Petra Janosch, Brian W. McFerran, et al.. (2000). Mechanism of Suppression of the Raf/MEK/Extracellular Signal-Regulated Kinase Pathway by the Raf Kinase Inhibitor Protein. Molecular and Cellular Biology. 20(9). 3079–3085. 304 indexed citations
5.
McFerran, Brian W., Jamie L. Weiss, & Robert D. Burgoyne. (1999). Neuronal Ca2+ Sensor 1. Journal of Biological Chemistry. 274(42). 30258–30265. 97 indexed citations
6.
Yeung, Kam C., Thomas Seitz, Shengfeng Li, et al.. (1999). Suppression of Raf-1 kinase activity and MAP kinase signalling by RKIP. Nature. 401(6749). 173–177. 706 indexed citations breakdown →
7.
McFerran, Brian W., Margaret E. Graham, & Robert D. Burgoyne. (1998). Neuronal Ca2+ Sensor 1, the Mammalian Homologue of Frequenin, Is Expressed in Chromaffin and PC12 Cells and Regulates Neurosecretion from Dense-core Granules. Journal of Biological Chemistry. 273(35). 22768–22772. 138 indexed citations
8.
McFerran, Brian W., et al.. (1998). Heterotrimeric G-protein candidates for Ge in the ACTH secretory pathway. Molecular and Cellular Endocrinology. 142(1-2). 87–97. 8 indexed citations
9.
McFerran, Brian W. & Robert D. Burgoyne. (1997). 2′,3′-Cyclic nucleotide 3′-phosphodiesterase is associated with mitochondria in diverse adrenal cell types. Journal of Cell Science. 110(23). 2979–2985. 27 indexed citations
10.
McFerran, Brian W. & Simon Guild. (1996). The roles of adenosine 3′,5′-cyclic monophosphate-dependent protein kinase A and protein kinase C in stimulus-secretion coupling in AtT-20 cells. Journal of Molecular Endocrinology. 16(2). 133–140. 15 indexed citations
11.
McFerran, Brian W., et al.. (1996). Similar effects of α‐ and β‐SNAP on Ca 2+‐regulated exocytosis. FEBS Letters. 393(2-3). 185–188. 27 indexed citations
12.
McFerran, Brian W., David J. MacEwan, & Simon Guild. (1995). Involvement of multiple protein kinase C isozymes in the ACTH secretory pathway of AtT‐20 cells. British Journal of Pharmacology. 115(2). 307–315. 14 indexed citations
13.
McFerran, Brian W. & Simon Guild. (1995). Effects of mastoparan upon the late stages of the ACTH secretory pathway of AtT‐20 cells. British Journal of Pharmacology. 115(4). 696–702. 11 indexed citations
14.
McFerran, Brian W. & Simon Guild. (1995). The effects of calyculin A upon calcium‐, guanine nucleotides‐ and phorbol 12‐myristate 13‐acetate‐stimulated ACTH secretion from AtT‐20 cells. British Journal of Pharmacology. 114(8). 1571–1576. 7 indexed citations
15.
Shipston, Michael J., et al.. (1994). Early Glucocorticoid Inhibition of Hormone Release in Pituitary Corticotrope Cells Is Voltage Dependent. Annals of the New York Academy of Sciences. 746(1). 456–459. 5 indexed citations
16.
McFerran, Brian W. & Simon Guild. (1994). Effects of protein kinase C activators upon the late stages of the ACTH secretory pathway of AtT‐20 cells. British Journal of Pharmacology. 113(1). 171–178. 14 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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