Emmeline Brown

538 total citations · 1 hit paper
6 papers, 271 citations indexed

About

Emmeline Brown is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Emmeline Brown has authored 6 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Neurology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Physiology. Recurrent topics in Emmeline Brown's work include Parkinson's Disease Mechanisms and Treatments (2 papers), Retinal Imaging and Analysis (1 paper) and Autophagy in Disease and Therapy (1 paper). Emmeline Brown is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (2 papers), Retinal Imaging and Analysis (1 paper) and Autophagy in Disease and Therapy (1 paper). Emmeline Brown collaborates with scholars based in United Kingdom, Germany and Australia. Emmeline Brown's co-authors include Francis L. W. Ratnieks, Mihail Garbuzov, Simon Walker‐Samuel, Natalie Holroyd, Claire Walsh, Danny Jonigk, Sebastian Marussi, Jan Lukas Robertus, Peter Lee and Daniyal J. Jafree and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Methods.

In The Last Decade

Emmeline Brown

5 papers receiving 257 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography

2021 162 citations Claire Walsh, Paul Tafforeau et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emmeline Brown United Kingdom	5	67	62	52	45	33	6	271
Sebastian Schmelzle Germany	8	36 0.5×	17 0.3×	36 0.7×	25 0.6×	64 1.9×	17	372
Philipp D. Lösel Germany	8	28 0.4×	21 0.3×	8 0.2×	27 0.6×	28 0.8×	13	258
Mahadimenakbar Mohamed Dawood Malaysia	11	342 5.1×	154 2.5×	73 1.4×	102 2.3×	68 2.1×	36	650
B. Ströbel Germany	8	99 1.5×	23 0.4×	22 0.4×	13 0.3×	10 0.3×	15	279
Kathryn Fontaine United States	10	245 3.7×	67 1.1×	19 0.4×	211 4.7×	22 0.7×	31	569
Jeremy D. Wilson Australia	14	126 1.9×	6 0.1×	19 0.4×	178 4.0×	50 1.5×	38	593
Tomohiro Ono Japan	13	254 3.8×	289 4.7×	18 0.3×	148 3.3×	82 2.5×	98	828
Jan Buytaert Belgium	5	23 0.3×	16 0.3×	3 0.1×	41 0.9×	17 0.5×	11	209
Justyn W. Regini United Kingdom	11	144 2.1×	31 0.5×		40 0.9×	9 0.3×	19	390
Masrour Makaremi France	6	28 0.4×	12 0.2×		48 1.1×	35 1.1×	19	453

Countries citing papers authored by Emmeline Brown

Since Specialization

Citations

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

Fields of papers citing papers by Emmeline Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmeline Brown

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Balck, Alexander, Max Borsche, Philip Campbell, et al.. (2025). The role of dopaminergic medication and specific pathway alterations in idiopathic and PRKN/PINK1 -mediated Parkinson’s disease. Science Advances. 11(20). eadp7063–eadp7063.

2.

Brown, Emmeline, Natalie Holroyd, Paul W. Sweeney, et al.. (2024). Physics-informed deep generative learning for quantitative assessment of the retina. Nature Communications. 15(1). 6859–6859. 9 indexed citations

3.

Mitchell, Andrew, et al.. (2023). Deep learning techniques for noise annoyance detection: Results from an intensive workshop at the Alan Turing Institute. The Journal of the Acoustical Society of America. 153(3_supplement). A262–A262. 6 indexed citations

4.

Walsh, Claire, Paul Tafforeau, Willi L. Wagner, et al.. (2021). Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography. Nature Methods. 18(12). 1532–1541. 162 indexed citations breakdown →

5.

Okubadejo, Njideka, Mie Rizig, Oluwadamilola O. Ojo, et al.. (2018). Leucine rich repeat kinase 2 (LRRK2) GLY2019SER mutation is absent in a second cohort of Nigerian Africans with Parkinson disease. PLoS ONE. 13(12). e0207984–e0207984. 14 indexed citations

6.

Ratnieks, Francis L. W., et al.. (2016). Data reliability in citizen science: learning curve and the effects of training method, volunteer background and experience on identification accuracy of insects visiting ivy flowers. Methods in Ecology and Evolution. 7(10). 1226–1235. 80 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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