Fiona S. Cusdin

12 total papers · 772 total citations
9 papers, 536 citations indexed

About

Fiona S. Cusdin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fiona S. Cusdin has authored 9 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fiona S. Cusdin's work include Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Fiona S. Cusdin is often cited by papers focused on Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Fiona S. Cusdin collaborates with scholars based in United Kingdom, United States and India. Fiona S. Cusdin's co-authors include Rosemary E. Kelsell, Elena Fonfría, Paul R. Murdock, Shaun McNulty, Christopher D. Benham, Antony P. Jackson, Jeffrey J. Clare, Christopher Huang, Dimitri Y. Chirgadze and Andrew J. Powell and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and FEBS Letters.

In The Last Decade

Fiona S. Cusdin

9 papers receiving 528 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fiona S. Cusdin	293	220	146	144	90	9	536
Alicia Sedó	244 0.8×	173 0.8×	122 0.8×	101 0.7×	96 1.1×	15	602
Dong Ki Yang	261 0.9×	293 1.3×	149 1.0×	103 0.7×	58 0.6×	9	480
R. Flemming	288 1.0×	340 1.5×	173 1.2×	81 0.6×	66 0.7×	6	485
Bernd Nilius	341 1.2×	175 0.8×	188 1.3×	55 0.4×	54 0.6×	12	520
Xinpo Jiang	412 1.4×	80 0.4×	216 1.5×	66 0.5×	113 1.3×	8	611
Ninda Syam	351 1.2×	257 1.2×	94 0.6×	77 0.5×	271 3.0×	11	537
Victoria A. L. Seymour	293 1.0×	202 0.9×	125 0.9×	45 0.3×	22 0.2×	10	484
Romina V. Sepúlveda	322 1.1×	155 0.7×	154 1.1×	38 0.3×	116 1.3×	26	484
Koenraad Philippaert	182 0.6×	138 0.6×	75 0.5×	72 0.5×	97 1.1×	20	503
William C. Valinsky	248 0.8×	83 0.4×	66 0.5×	167 1.2×	51 0.6×	16	521

Countries citing papers authored by Fiona S. Cusdin

Since Specialization

Citations

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

Fields of papers citing papers by Fiona S. Cusdin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona S. Cusdin. 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 Fiona S. Cusdin. The network helps show where Fiona S. Cusdin may publish in the future.

Co-authorship network of co-authors of Fiona S. Cusdin

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

All Works

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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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