Fiona Brown

15 total papers · 1.3k total citations
5 papers, 162 citations indexed

About

Fiona Brown is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Fiona Brown has authored 5 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Neurology. Recurrent topics in Fiona Brown's work include Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and RNA modifications and cancer (1 paper). Fiona Brown is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and RNA modifications and cancer (1 paper). Fiona Brown collaborates with scholars based in United Kingdom, Germany and Canada. Fiona Brown's co-authors include Paweł Lis, Paul Davies, Rachel Toth, Dario R. Alessi, John Rouse, Nicole K. Polinski, Matthias Mann, Terina N. Martinez, Shu‐Leong Ho and Martin Steger and has published in prestigious journals such as The EMBO Journal, Biochemical Journal and Science Advances.

In The Last Decade

Fiona Brown

4 papers receiving 161 citations

Author Peers

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

Author						Papers	Cites
Fiona Brown	81	80	62	38	36	5	162
Sophie Burel	85 1.0×	96 1.2×	57 0.9×	10 0.3×	45 1.3×	9	167
Paulina S. Wawro	99 1.2×	165 2.1×	169 2.7×	41 1.1×	56 1.6×	6	290
Shankaracharya	62 0.8×	95 1.2×	37 0.6×	54 1.4×	24 0.7×	4	172
Maria Lidia Mignogna	60 0.7×	87 1.1×	106 1.7×	55 1.4×	33 0.9×	6	198
Saúl Herranz-Martín	57 0.7×	107 1.3×	36 0.6×	25 0.7×	30 0.8×	9	164
Simonetta Andreazza	88 1.1×	113 1.4×	89 1.4×	61 1.6×	17 0.5×	8	257
Kevin Garofalo	31 0.4×	145 1.8×	71 1.1×	14 0.4×	63 1.8×	7	240
Tine Holemans	72 0.9×	151 1.9×	78 1.3×	18 0.5×	68 1.9×	8	264
Nicola Vanni	28 0.3×	144 1.8×	66 1.1×	122 3.2×	48 1.3×	5	277
Agnès Rastetter	109 1.3×	73 0.9×	45 0.7×	26 0.7×	42 1.2×	9	271

Countries citing papers authored by Fiona Brown

Since Specialization

Citations

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

Fields of papers citing papers by Fiona Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Brown. A scholar is included among the top collaborators of Fiona Brown 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 Brown. Fiona Brown 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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