Elizabeth Rahr

11 total papers · 609 total citations
10 papers, 465 citations indexed

About

Elizabeth Rahr is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Elizabeth Rahr has authored 10 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Computational Theory and Mathematics. Recurrent topics in Elizabeth Rahr's work include Analytical Chemistry and Chromatography (6 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Elizabeth Rahr is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Elizabeth Rahr collaborates with scholars based in United Kingdom and Germany. Elizabeth Rahr's co-authors include John C. Lindon, Brian C. Sweatman, Brian D. Hudson, Jeremy K. Nicholson, C.R. Beddell, Elaine Holmes, David J. Livingstone, Manfred Spraul, Peter Neidig and Richard M. Hyde and has published in prestigious journals such as Analytical Biochemistry, Journal of Pharmaceutical Sciences and Journal of Pharmaceutical and Biomedical Analysis.

In The Last Decade

Elizabeth Rahr

10 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Elizabeth Rahr	308	124	121	111	50	10	465
Sían Howells	170 0.6×	116 0.9×	132 1.1×	83 0.7×	63 1.3×	17	483
Jeff Troke	223 0.7×	27 0.2×	177 1.5×	35 0.3×	33 0.7×	18	454
Graeme Scarfe	243 0.8×	29 0.2×	239 2.0×	100 0.9×	96 1.9×	29	545
Dorrit Baunsgaard	287 0.9×	18 0.1×	82 0.7×	77 0.7×	58 1.2×	19	495
Phil J. Borman	110 0.4×	49 0.4×	201 1.7×	141 1.3×	83 1.7×	23	439
Jochen Hochrein	325 1.1×	34 0.3×	43 0.4×	35 0.3×	48 1.0×	14	492
Chris M. Lee	204 0.7×	21 0.2×	54 0.4×	23 0.2×	48 1.0×	9	413
Athina Zira	274 0.9×	25 0.2×	27 0.2×	24 0.2×	27 0.5×	14	509
Joseph R. Votano	186 0.6×	211 1.7×	114 0.9×	29 0.3×	13 0.3×	15	477
Wei Zhang	158 0.5×	86 0.7×	147 1.2×	14 0.1×	52 1.0×	18	497

Countries citing papers authored by Elizabeth Rahr

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Rahr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Rahr

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