Eleanor Sinclair

614 total citations
9 papers, 385 citations indexed

About

Eleanor Sinclair is a scholar working on Molecular Biology, Sensory Systems and Spectroscopy. According to data from OpenAlex, Eleanor Sinclair has authored 9 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Sensory Systems and 3 papers in Spectroscopy. Recurrent topics in Eleanor Sinclair's work include Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Olfactory and Sensory Function Studies (3 papers). Eleanor Sinclair is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Olfactory and Sensory Function Studies (3 papers). Eleanor Sinclair collaborates with scholars based in United Kingdom, Netherlands and Austria. Eleanor Sinclair's co-authors include Perdita E. Barran, Depanjan Sarkar, Joy Milne, Drupad K. Trivedi, Monty Silverdale, Caitlin Walton‐Doyle, Tilo Kunath, Royston Goodacre, Anouk M. Rijs and Rob M.A. de Bie and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Scientific Reports.

In The Last Decade

Eleanor Sinclair

9 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleanor Sinclair United Kingdom	7	159	96	92	70	52	9	385
Caitlin Walton‐Doyle United Kingdom	5	119 0.7×	41 0.4×	84 0.9×	67 1.0×	51 1.0×	9	347
Joy Milne United Kingdom	4	114 0.7×	39 0.4×	82 0.9×	66 0.9×	50 1.0×	6	301
In Gyoung Ju South Korea	12	311 2.0×	103 1.1×	32 0.3×	105 1.5×	5 0.1×	37	690
Sahil Shah United States	12	208 1.3×	17 0.2×	84 0.9×	11 0.2×	21 0.4×	27	446
Berenice Venegas Mexico	16	244 1.5×	13 0.1×	41 0.4×	23 0.3×	7 0.1×	32	590
Jarrad R. Wagner United States	11	170 1.1×	51 0.5×	30 0.3×	66 0.9×	3 0.1×	27	480
Yajing Hou China	16	250 1.6×	19 0.2×	23 0.3×	18 0.3×	14 0.3×	64	690
Rachel Mahood United Kingdom	8	272 1.7×	85 0.9×	9 0.1×	17 0.2×	19 0.4×	8	463
Altin Sula United Kingdom	13	406 2.6×	33 0.3×	29 0.3×	8 0.1×	18 0.3×	16	590
Songjun Wang China	11	137 0.9×	73 0.8×	18 0.2×	12 0.2×	3 0.1×	35	368

Countries citing papers authored by Eleanor Sinclair

Since Specialization

Citations

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

Fields of papers citing papers by Eleanor Sinclair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleanor Sinclair

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

All Works

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9 of 9 papers shown

Walton‐Doyle, Caitlin, Beatrice Heim, Eleanor Sinclair, et al.. (2025). Classification of Parkinson’s disease and isolated REM sleep behaviour disorder: delineating progression markers from the sebum volatilome. npj Parkinson s Disease. 11(1). 202–202. 1 indexed citations

Walton‐Doyle, Caitlin, et al.. (2024). How storage post sampling influences the stability of sebum when used for mass spectrometry metabolomics analysis?. Scientific Reports. 14(1). 21707–21707. 1 indexed citations

Sarkar, Depanjan, Eleanor Sinclair, Caitlin Walton‐Doyle, et al.. (2022). Paper Spray Ionization Ion Mobility Mass Spectrometry of Sebum Classifies Biomarker Classes for the Diagnosis of Parkinson’s Disease. JACS Au. 2(9). 2013–2022. 27 indexed citations

Spick, Matt, Catia Costa, Alexander Stewart, et al.. (2022). An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics. Scientific Reports. 12(1). 11867–11867. 22 indexed citations

Sinclair, Eleanor, Drupad K. Trivedi, Depanjan Sarkar, et al.. (2021). Metabolomics of sebum reveals lipid dysregulation in Parkinson’s disease. Nature Communications. 12(1). 1592–1592. 131 indexed citations

Sinclair, Eleanor, Caitlin Walton‐Doyle, Depanjan Sarkar, et al.. (2021). Validating Differential Volatilome Profiles in Parkinson’s Disease. ACS Central Science. 7(2). 300–306. 30 indexed citations

Migas, Lukasz G., et al.. (2020). Using Collision Cross Section Distributions to Assess the Distribution of Collision Cross Section Values. Analytical Chemistry. 92(6). 4340–4348. 33 indexed citations

Trivedi, Drupad K., Eleanor Sinclair, Yun Xu, et al.. (2019). Discovery of Volatile Biomarkers of Parkinson’s Disease from Sebum. ACS Central Science. 5(4). 599–606. 110 indexed citations

Sinclair, Eleanor, Katherine A. Hollywood, Cunyu Yan, et al.. (2018). Mobilising ion mobility mass spectrometry for metabolomics. The Analyst. 143(19). 4783–4788. 30 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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