Rosie Bell

414 total citations
12 papers, 295 citations indexed

About

Rosie Bell is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Rosie Bell has authored 12 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Neurology and 3 papers in Physiology. Recurrent topics in Rosie Bell's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (4 papers) and RNA regulation and disease (3 papers). Rosie Bell is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (4 papers) and RNA regulation and disease (3 papers). Rosie Bell collaborates with scholars based in United Kingdom, Belgium and United States. Rosie Bell's co-authors include Michele Vendruscolo, André Nogueira da Costa, Márcia Cristina Teixeira dos Santos, D. Scheller, Walter Maetzler, Daniela Berg, Claudia Schulte, Pedro A. F. Galante, Robert A. Hinde and Elizabeth Steel and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Rosie Bell

11 papers receiving 290 citations

Peers

Rosie Bell
Nagendran Ramalingam United States
Delali Blavo United States
Jiou Wang United States
Stacey A. Rimkus United States
Prachi Mehta Australia
Ilija Melentijevic United States
Hemi Dimant United States
Nagendran Ramalingam United States
Rosie Bell
Citations per year, relative to Rosie Bell Rosie Bell (= 1×) peers Nagendran Ramalingam

Countries citing papers authored by Rosie Bell

Since Specialization
Citations

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

Fields of papers citing papers by Rosie Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosie Bell

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

All Works

12 of 12 papers shown
1.
Bell, Rosie, et al.. (2024). More than microglia: myeloid cells and biomarkers in neurodegeneration. Frontiers in Neuroscience. 18.
2.
Bell, Rosie, Michele Vendruscolo, & Janet R. Kumita. (2023). Probing the effects of N-terminal acetylation on α-synuclein structure, aggregation and cytotoxicity. Methods in enzymology on CD-ROM/Methods in enzymology. 686. 45–65. 2 indexed citations
3.
Bell, Rosie, et al.. (2023). Sequence-based prediction of pH-dependent protein solubility using CamSol. Briefings in Bioinformatics. 24(2). 28 indexed citations
4.
Bell, Rosie, et al.. (2022). Effects of N-terminal Acetylation on the Aggregation of Disease-related α-synuclein Variants. Journal of Molecular Biology. 435(1). 167825–167825. 25 indexed citations
5.
Bell, Rosie, Aishwarya Nene, Patrick Flagmeier, et al.. (2022). N-Terminal Acetylation of α-Synuclein Slows down Its Aggregation Process and Alters the Morphology of the Resulting Aggregates. Biochemistry. 61(17). 1743–1756. 35 indexed citations
6.
Bell, Rosie, et al.. (2022). Sequence-Based Prediction of Ph-Dependent Protein Solubility Using Camsol. SSRN Electronic Journal. 2 indexed citations
7.
Bell, Rosie & Michele Vendruscolo. (2021). Modulation of the Interactions Between α-Synuclein and Lipid Membranes by Post-translational Modifications. Frontiers in Neurology. 12. 661117–661117. 35 indexed citations
8.
Santos, Márcia Cristina Teixeira dos, D. Scheller, Claudia Schulte, et al.. (2018). Evaluation of cerebrospinal fluid proteins as potential biomarkers for early stage Parkinson’s disease diagnosis. PLoS ONE. 13(11). e0206536–e0206536. 34 indexed citations
9.
Santos, Márcia Cristina Teixeira dos, Rosie Bell, Claudia Schulte, et al.. (2018). miRNA-based signatures in cerebrospinal fluid as potential diagnostic tools for early stage Parkinson’s disease. Oncotarget. 9(25). 17455–17465. 99 indexed citations
10.
Santos, Márcia Cristina Teixeira dos, Rosie Bell, & André Nogueira da Costa. (2016). Recent Developments in Circulating Biomarkers in Parkinson’s Disease: The Potential Use of Mirnas in A Clinical Setting. Bioanalysis. 8(23). 2497–2518. 13 indexed citations
11.
Hinde, Robert A., Rosie Bell, & Elizabeth Steel. (1963). Changes in sensitivity of the canary brood patch during the natural breeding season. Animal Behaviour. 11(4). 553–560. 21 indexed citations
12.
Bell, Rosie & Robert A. Hinde. (1963). Brood patch sensitivity of female canaries brought into reproductive condition in winter. Animal Behaviour. 11(4). 561–565. 1 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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