Janet C. Saunders

537 total citations
7 papers, 441 citations indexed

About

Janet C. Saunders is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Janet C. Saunders has authored 7 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Spectroscopy. Recurrent topics in Janet C. Saunders's work include Metabolomics and Mass Spectrometry Studies (3 papers), Protein Structure and Dynamics (3 papers) and Alzheimer's disease research and treatments (3 papers). Janet C. Saunders is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Protein Structure and Dynamics (3 papers) and Alzheimer's disease research and treatments (3 papers). Janet C. Saunders collaborates with scholars based in United Kingdom, Singapore and United States. Janet C. Saunders's co-authors include Alison E. Ashcroft, Sheena E. Radford, Rachel Mahood, Lydia Young, Charlotte Revill, Richard Foster, Daniel P. Raleigh, Ling‐Hsien Tu, David J. Brockwell and D. A. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Chemistry.

In The Last Decade

Janet C. Saunders

6 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janet C. Saunders United Kingdom	5	280	239	87	67	44	7	441
Andres S. Arango United States	8	196 0.7×	202 0.8×	53 0.6×	61 0.9×	67 1.5×	16	412
Charlotte Revill United Kingdom	9	319 1.1×	259 1.1×	79 0.9×	53 0.8×	46 1.0×	12	555
Diana C. Rodriguez Camargo Germany	12	248 0.9×	238 1.0×	98 1.1×	59 0.9×	27 0.6×	15	447
William M. Tay United States	10	218 0.8×	247 1.0×	48 0.6×	37 0.6×	59 1.3×	12	458
Hamed Shaykhalishahi Germany	13	258 0.9×	338 1.4×	42 0.5×	65 1.0×	30 0.7×	19	556
Eleri Hughes United Kingdom	16	524 1.9×	265 1.1×	100 1.1×	70 1.0×	50 1.1×	33	761
Dimitri Brinet France	9	270 1.0×	206 0.9×	124 1.4×	33 0.5×	43 1.0×	9	392
Diane M. Bartley United States	5	284 1.0×	277 1.2×	44 0.5×	82 1.2×	121 2.8×	6	459
Muralidharan Chandrakesan India	9	252 0.9×	360 1.5×	67 0.8×	105 1.6×	68 1.5×	12	446
Lucy A. Woods United Kingdom	7	270 1.0×	186 0.8×	121 1.4×	19 0.3×	17 0.4×	7	458

Countries citing papers authored by Janet C. Saunders

Since Specialization

Citations

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

Fields of papers citing papers by Janet C. Saunders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet C. Saunders. 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 Janet C. Saunders. The network helps show where Janet C. Saunders may publish in the future.

Co-authorship network of co-authors of Janet C. Saunders

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

All Works

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7 of 7 papers shown

1.

Saunders, Janet C., et al.. (2025). Employing deep mutational scanning in the Escherichia coli periplasm to decode the thermodynamic landscape for amyloid formation. Proceedings of the National Academy of Sciences. 122(38). e2516165122–e2516165122.

2.

Yin, Victor, Janet C. Saunders, Arjan Barendregt, et al.. (2023). Stochastic assembly of biomacromolecular complexes: impact and implications on charge interpretation in native mass spectrometry. Chemical Science. 14(35). 9316–9327. 3 indexed citations

3.

Saunders, Janet C., Bob Schiffrin, Elizabeth England, et al.. (2020). An in vivo platform to select and evolve aggregation-resistant proteins. Nature Communications. 11(1). 1816–1816. 27 indexed citations

4.

Saunders, Janet C., Lydia Young, Rachel Mahood, et al.. (2015). An in vivo platform for identifying inhibitors of protein aggregation. Nature Chemical Biology. 12(2). 94–101. 71 indexed citations

5.

Young, Lydia, Janet C. Saunders, Rachel Mahood, et al.. (2015). ESI-IMS–MS: A method for rapid analysis of protein aggregation and its inhibition by small molecules. Methods. 95. 62–69. 51 indexed citations

6.

Young, Lydia, Rachel Mahood, Janet C. Saunders, et al.. (2015). Insights into the consequences of co-polymerisation in the early stages of IAPP and Aβ peptide assembly from mass spectrometry. The Analyst. 140(20). 6990–6999. 51 indexed citations

7.

Young, Lydia, Janet C. Saunders, Rachel Mahood, et al.. (2014). Screening and classifying small-molecule inhibitors of amyloid formation using ion mobility spectrometry–mass spectrometry. Nature Chemistry. 7(1). 73–81. 238 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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