J.F.R. Cavanagh

635 total citations
9 papers, 530 citations indexed

About

J.F.R. Cavanagh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, J.F.R. Cavanagh has authored 9 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in J.F.R. Cavanagh's work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). J.F.R. Cavanagh is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). J.F.R. Cavanagh collaborates with scholars based in United Kingdom. J.F.R. Cavanagh's co-authors include Marina Mione, John G. Parnavelas, Dimitra Thomaidou, Geoffrey Burnstock, Brett Harris, P. Milner, J. Lincoln, Karen A. Kirkpatrick and J. Aberdeen and has published in prestigious journals such as Journal of Neuroscience, Neuroscience and Cell and Tissue Research.

In The Last Decade

J.F.R. Cavanagh

9 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.F.R. Cavanagh United Kingdom 7 252 245 235 55 54 9 530
C. Martín Spain 12 206 0.8× 138 0.6× 244 1.0× 53 1.0× 62 1.1× 20 478
Annette E. Rünker Germany 11 211 0.8× 238 1.0× 245 1.0× 93 1.7× 64 1.2× 13 507
Damiana Giacomini Argentina 14 214 0.8× 234 1.0× 319 1.4× 26 0.5× 62 1.1× 29 897
Christine Y. Brazel United States 8 358 1.4× 216 0.9× 207 0.9× 27 0.5× 84 1.6× 9 559
N. Rocamora Spain 10 236 0.9× 330 1.3× 219 0.9× 101 1.8× 50 0.9× 11 512
Mark I. Ransome Australia 14 155 0.6× 212 0.9× 224 1.0× 28 0.5× 50 0.9× 16 528
G. Mercier France 10 88 0.3× 189 0.8× 237 1.0× 34 0.6× 38 0.7× 15 570
Seonhee Kim United States 7 353 1.4× 310 1.3× 468 2.0× 106 1.9× 75 1.4× 8 849
Melanie Willingham Australia 6 303 1.2× 201 0.8× 308 1.3× 43 0.8× 117 2.2× 6 644
MC Bohn United States 7 167 0.7× 261 1.1× 191 0.8× 24 0.4× 26 0.5× 11 496

Countries citing papers authored by J.F.R. Cavanagh

Since Specialization
Citations

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

Fields of papers citing papers by J.F.R. Cavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F.R. Cavanagh. 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 J.F.R. Cavanagh. The network helps show where J.F.R. Cavanagh may publish in the future.

Co-authorship network of co-authors of J.F.R. Cavanagh

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

All Works

9 of 9 papers shown
1.
Mione, Marina, J.F.R. Cavanagh, Brett Harris, & John G. Parnavelas. (1997). Cell Fate Specification and Symmetrical/Asymmetrical Divisions in the Developing Cerebral Cortex. Journal of Neuroscience. 17(6). 2018–2029. 106 indexed citations
2.
Thomaidou, Dimitra, Marina Mione, J.F.R. Cavanagh, & John G. Parnavelas. (1997). Apoptosis and Its Relation to the Cell Cycle in the Developing Cerebral Cortex. Journal of Neuroscience. 17(3). 1075–1085. 309 indexed citations
3.
Mione, Marina, J.F.R. Cavanagh, & Geoffrey Burnstock. (1993). Uptake of 5-hydroxydopamine into non-sympathetic nerves of guinea-pig uterine artery in late pregnancy. Journal of Neurocytology. 22(3). 164–175. 6 indexed citations
4.
Mione, Marina, J.F.R. Cavanagh, Karen A. Kirkpatrick, & Geoffrey Burnstock. (1992). Plasticity in expression of calcitonin gene-related peptide and substance P immunoreactivity in ganglia and fibres following guanethidine and/or capsaicin denervation. Cell and Tissue Research. 268(3). 491–504. 26 indexed citations
5.
Mione, Marina, J.F.R. Cavanagh, J. Lincoln, P. Milner, & Geoffrey Burnstock. (1990). Long-term chemical sympathectomy leads to an increase of neuropeptide Y immunoreactivity in cerebrovascular nerves and iris of the developing rat. Neuroscience. 34(2). 369–378. 34 indexed citations
7.
Mione, Marina, J.F.R. Cavanagh, J. Lincoln, P. Milner, & Geoffrey Burnstock. (1990). Pregnancy reduces noradrenaline but not neuropeptide levels in the uterine artery of the guinea-pig. Cell and Tissue Research. 259(3). 503–509. 25 indexed citations
8.
Mione, Marina, J. Aberdeen, P. Milner, et al.. (1988). Chemical sympathectomy does not change the density of neuropeptide Y (NPY)-containing nerves in the cerebral vessels of the rat. Regulatory Peptides. 22(4). 423–423. 6 indexed citations
9.
Cavanagh, J.F.R., Marina Mione, & Geoffrey Burnstock. (1988). The peptidergic innervation of the uterine artery during pregnancy. Regulatory Peptides. 22(4). 395–395. 2 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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