Elizabeth Rahr

609 citations
10 papers · 465 indexed · h-index 8
Topics
Analytical Chemistry and Chromatography (6 papers)Metabolomics and Mass Spectrometry Studies (5 papers)Computational Drug Discovery Methods (5 papers)
Partner nations
United KingdomGermany

In The Last Decade

Elizabeth Rahr

10 papers receiving 441 citations

Peers

Elizabeth Rahr
Comparison fields: 5 of 88
  • Molecular Biology 308
  • Computational Theory and Mathematics 124
  • Spectroscopy 121
  • Analytical Chemistry 111
  • Biomedical Engineering 50
Replace Sían Howells with:
Sían Howells United Kingdom
Peter Neidig Germany
Graeme Scarfe United Kingdom
Maria L. Anthony United Kingdom
Jean-Pierre Provost France
Steven L. Robinette United States
Jonathan Bright United Kingdom
Denis V. Rubtsov United Kingdom
Leon M. Smith United States
Elaine Maibaum United Kingdom
Elizabeth Rahr relative to Sían Howells United Kingdom Sían Howells's profile →
Citations per field
00.5×
Sían Howells · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 92
2 85
3 168
4 5
5 26
6 22
7 9
8 26
9 25
10 7

About Elizabeth Rahr

Elizabeth Rahr is a scholar working on Analytical Chemistry, Spectroscopy and Computational Theory and Mathematics, having authored 10 papers that have together received 465 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Analytical Chemistry (111 citations), Computational Theory and Mathematics (124 citations) and Spectroscopy (121 citations). Elizabeth Rahr has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include John C. Lindon, Brian C. Sweatman, Brian D. Hudson, C.R. Beddell, Jeremy K. Nicholson, Elaine Holmes, David J. Livingstone, Peter Neidig, Manfred Spraul and Richard M. Hyde. Their work appears in journals such as Analytical Biochemistry, Journal of Pharmaceutical Sciences and Journal of Pharmaceutical and Biomedical Analysis.

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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