Rebecca E. Williams

1.8k total citations
40 papers, 1.5k citations indexed

About

Rebecca E. Williams is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Rebecca E. Williams has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Clinical Biochemistry and 7 papers in Physiology. Recurrent topics in Rebecca E. Williams's work include Metabolomics and Mass Spectrometry Studies (12 papers), Metabolism and Genetic Disorders (7 papers) and Adipose Tissue and Metabolism (6 papers). Rebecca E. Williams is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), Metabolism and Genetic Disorders (7 papers) and Adipose Tissue and Metabolism (6 papers). Rebecca E. Williams collaborates with scholars based in United Kingdom, United States and Switzerland. Rebecca E. Williams's co-authors include Eva M. Lenz, Edward A. Lock, Ian D. Wilson, Larry E. Beutler, Hilary Major, Jennifer H. Granger, Robert S. Plumb, Chris L. Stumpf, Ian D. Wilson and Amy Wilson and has published in prestigious journals such as Analytical Chemistry, American Psychologist and Stroke.

In The Last Decade

Rebecca E. Williams

40 papers receiving 1.4k citations

Peers

Rebecca E. Williams
Stephen H. Curry United States
John W. Hubbard Canada
Paul J. Geiger United States
Peter M. Edelbroek Netherlands
Hans Geyer Germany
Miklós Péter Kalapos Hungary
Jeremiah Kelly United Kingdom
Andrew T. Kicman United Kingdom
S.J. Mulé United States
Don H. Catlin United States
Stephen H. Curry United States
Rebecca E. Williams
Citations per year, relative to Rebecca E. Williams Rebecca E. Williams (= 1×) peers Stephen H. Curry

Countries citing papers authored by Rebecca E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebecca E. Williams. 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 Rebecca E. Williams. The network helps show where Rebecca E. Williams may publish in the future.

Co-authorship network of co-authors of Rebecca E. Williams

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

All Works

20 of 20 papers shown
1.
Harris, Claire, Rebecca E. Williams, Olalekan Daramola, et al.. (2023). CHO synthetic promoters improve expression and product quality of biotherapeutic proteins. Biotechnology Progress. 39(5). e3348–e3348. 2 indexed citations
2.
Fehlmann, André, J. R. Kuhn, Thomas A. Schad, et al.. (2023). The Daniel K. Inouye Solar Telescope (DKIST) Cryogenic Near-Infrared Spectro-Polarimeter. Solar Physics. 298(1). 20 indexed citations
3.
Lenz, Eva M., Rebecca E. Williams, James E. Sidaway, et al.. (2007). The application of microbore UPLC/oa-TOF-MS and 1H NMR spectroscopy to the metabonomic analysis of rat urine following the intravenous administration of pravastatin. Journal of Pharmaceutical and Biomedical Analysis. 44(4). 845–852. 44 indexed citations
4.
Granger, Jennifer H., Rebecca E. Williams, Eva M. Lenz, et al.. (2007). A metabonomic study of strain‐ and age‐related differences in the Zucker rat. Rapid Communications in Mass Spectrometry. 21(13). 2039–2045. 37 indexed citations
5.
Williams, Rebecca E., Eva M. Lenz, Mattias Rantalainen, & Ian D. Wilson. (2006). The comparative metabonomics of age-related changes in the urinary composition of male Wistar-derived and Zucker (fa/fa) obese rats. Molecular BioSystems. 2(3-4). 193–202. 50 indexed citations
6.
Williams, Rebecca E., Eva M. Lenz, Amy Wilson, et al.. (2006). A multi-analytical platform approach to the metabonomic analysis of plasma from normal and zucker (fa/fa) obese rats. Molecular BioSystems. 2(3-4). 174–183. 118 indexed citations
7.
Plumb, Robert S., Kelly A. Johnson, Paul Rainville, et al.. (2006). The detection of phenotypic differences in the metabolic plasma profile of three strains of Zucker rats at 20 weeks of age using ultra‐performance liquid chromatography/orthogonal acceleration time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 20(19). 2800–2806. 56 indexed citations
8.
Major, Hilary, Rebecca E. Williams, Amy Wilson, & Ian D. Wilson. (2006). A metabonomic analysis of plasma from Zucker rat strains using gas chromatography/mass spectrometry and pattern recognition. Rapid Communications in Mass Spectrometry. 20(22). 3295–3302. 83 indexed citations
9.
10.
Twamley, Elizabeth W., et al.. (2005). Work Rehabilitation for Middle-Aged and Older People With Schizophrenia. The Journal of Nervous and Mental Disease. 193(9). 596–601. 25 indexed citations
11.
Williams, Rebecca E., Eva M. Lenz, Ian D. Wilson, et al.. (2005). A combined 1H NMR and HPLC–MS-based metabonomic study of urine from obese (fa/fa) Zucker and normal Wistar-derived rats. Journal of Pharmaceutical and Biomedical Analysis. 38(3). 465–471. 92 indexed citations
12.
Williams, Rebecca E., Hilary Major, Edward A. Lock, Eva M. Lenz, & Ian D. Wilson. (2004). d-Serine-induced nephrotoxicity: a HPLC–TOF/MS-based metabonomics approach. Toxicology. 207(2). 179–190. 59 indexed citations
13.
14.
Williams, Rebecca E., et al.. (2003). N-phenylanthranilic acid induced nephrotoxicity - a metabonomics approach. Toxicology. 192. 77–78. 1 indexed citations
15.
16.
Brown, Gregory G., Rebecca E. Williams, Sandra S. Kindermann, et al.. (2002). Effects of Task Structure on Category Priming in Patients With Parkinson's Disease and in Healthy Individuals. Journal of Clinical and Experimental Neuropsychology. 24(3). 356–369. 6 indexed citations
17.
Williams, Rebecca E., Mark Cookson, Anne E. Fray, et al.. (2001). Cultured glial cells are resistant to the effects of motor neurone disease-associated SOD1 mutations. Neuroscience Letters. 302(2-3). 146–150. 6 indexed citations
18.
Fray, Anne E., et al.. (2001). Glutamine synthetase activity and expression are not affected by the development of motor neuronopathy in the G93A SOD-1/ALS mouse. Molecular Brain Research. 94(1-2). 131–136. 13 indexed citations
19.
Williams, Rebecca E., Paul R. Jones, Edward A. Lock, & H. S. Bachelard. (1999). Biochemical and Neurotoxicological Effects of L‐2‐Chloropropionic Acid on Rodent Brain. Journal of Neurochemistry. 73(1). 362–371. 9 indexed citations
20.
Kuhn, Nicholas J., Barbara Setlow, Peter Setlow, Richard Cammack, & Rebecca E. Williams. (1995). Cooperative Manganese(II) Activation of 3-Phosphoglycerate Mutase of Bacillus megaterium: A Biological pH-Sensing Mechanism in Bacterial Spore Formation and Germination. Archives of Biochemistry and Biophysics. 320(1). 35–42. 23 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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