Rebecca Longbottom

743 total citations
6 papers, 369 citations indexed

About

Rebecca Longbottom is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rebecca Longbottom has authored 6 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rebecca Longbottom's work include Adenosine and Purinergic Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Pancreatic function and diabetes (2 papers). Rebecca Longbottom is often cited by papers focused on Adenosine and Purinergic Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Pancreatic function and diabetes (2 papers). Rebecca Longbottom collaborates with scholars based in United Kingdom, United States and Zambia. Rebecca Longbottom's co-authors include Alexei V. Tepikin, Ole H. Petersen, Svetlana Voronina, Robert Sutton, John Greenwood, Marcus Fruttiger, R.H. Douglas, Juan Pedro Martı́nez-Barberá, Stephen E. Moss and Peter Adamson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physiology.

In The Last Decade

Rebecca Longbottom

6 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Longbottom United Kingdom 5 173 134 95 47 37 6 369
Tanya Myers Canada 12 225 1.3× 36 0.3× 82 0.9× 13 0.3× 54 1.5× 21 401
Fadi Aldehni Germany 8 377 2.2× 29 0.2× 130 1.4× 13 0.3× 15 0.4× 8 482
Éric Lecain France 12 138 0.8× 49 0.4× 40 0.4× 18 0.4× 14 0.4× 20 426
Xiaofeng Zhao United States 11 154 0.9× 35 0.3× 88 0.9× 33 0.7× 5 0.1× 24 458
Shan Chen China 10 170 1.0× 12 0.1× 85 0.9× 30 0.6× 36 1.0× 24 482
Pontus Klein Germany 8 154 0.9× 51 0.4× 139 1.5× 32 0.7× 31 0.8× 15 337
Yang Sui Japan 8 132 0.8× 26 0.2× 77 0.8× 14 0.3× 9 0.2× 13 445
Kirk A. Gilbert United States 8 182 1.1× 38 0.3× 35 0.4× 9 0.2× 97 2.6× 12 353
Lourdes Rodríguez‐de la Rosa Spain 14 197 1.1× 33 0.2× 18 0.2× 21 0.4× 46 1.2× 28 543
Katie Mayne United Kingdom 8 164 0.9× 20 0.1× 91 1.0× 47 1.0× 90 2.4× 10 397

Countries citing papers authored by Rebecca Longbottom

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Longbottom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Longbottom

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

All Works

6 of 6 papers shown
1.
Jin, Zhaosheng, et al.. (2020). Risk factors for excessive tidal volumes delivered during intraoperative mechanical ventilation, a retrospective study.. PubMed. 12(2). 51–57. 3 indexed citations
2.
Porcher, Christophe, Rebecca Longbottom, Talvinder S. Sihra, et al.. (2011). Positive Feedback Regulation between γ-Aminobutyric Acid Type A (GABAA) Receptor Signaling and Brain-derived Neurotrophic Factor (BDNF) Release in Developing Neurons. Journal of Biological Chemistry. 286(24). 21667–21677. 72 indexed citations
3.
Longbottom, Rebecca, Marcus Fruttiger, R.H. Douglas, et al.. (2009). Genetic ablation of retinal pigment epithelial cells reveals the adaptive response of the epithelium and impact on photoreceptors. Proceedings of the National Academy of Sciences. 106(44). 18728–18733. 69 indexed citations
4.
Martinelli, Roberta, Matthew E. Gegg, Rebecca Longbottom, et al.. (2008). ICAM-1–mediated Endothelial Nitric Oxide Synthase Activation via Calcium and AMP-activated Protein Kinase Is Required for Transendothelial Lymphocyte Migration. Molecular Biology of the Cell. 20(3). 995–1005. 64 indexed citations
5.
Barrow, Stephanie L., Svetlana Voronina, Gabriela da Silva Xavier, et al.. (2007). ATP depletion inhibits Ca2+ release, influx and extrusion in pancreatic acinar cells but not pathological Ca2+ responses induced by bile. Pflügers Archiv - European Journal of Physiology. 455(6). 1025–1039. 34 indexed citations
6.
Voronina, Svetlana, Rebecca Longbottom, Robert Sutton, Ole H. Petersen, & Alexei V. Tepikin. (2002). Bile acids induce calcium signals in mouse pancreatic acinar cells: implications for bile‐induced pancreatic pathology. The Journal of Physiology. 540(1). 49–55. 127 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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