Rachel E. Foreman

428 total citations
17 papers, 299 citations indexed

About

Rachel E. Foreman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Rachel E. Foreman has authored 17 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Rachel E. Foreman's work include Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Rachel E. Foreman is often cited by papers focused on Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Rachel E. Foreman collaborates with scholars based in United Kingdom, United States and Italy. Rachel E. Foreman's co-authors include Richard G. Kay, Frank Reimann, Fiona M. Gribble, Amy L. George, Emily L. Miedzybrodzka, Deborah A. Goldspink, Van B. Lu, Simon Fishel, Jacques Cohen and R. G. Edwards and has published in prestigious journals such as PLoS ONE, Diabetologia and Cell Reports.

In The Last Decade

Rachel E. Foreman

16 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel E. Foreman United Kingdom 9 112 79 70 55 38 17 299
Lydia Gil Huerta Spain 10 88 0.8× 97 1.2× 102 1.5× 44 0.8× 71 1.9× 13 345
P Contreras Chile 9 80 0.7× 49 0.6× 133 1.9× 18 0.3× 46 1.2× 24 402
Juan G. Álvarez United States 9 156 1.4× 128 1.6× 35 0.5× 25 0.5× 61 1.6× 14 674
M. Weise Germany 10 231 2.1× 68 0.9× 54 0.8× 15 0.3× 93 2.4× 12 425
Carolina Mondillo Argentina 13 106 0.9× 28 0.4× 51 0.7× 25 0.5× 28 0.7× 19 330
Hisanori Kato Japan 8 140 1.3× 22 0.3× 65 0.9× 53 1.0× 78 2.1× 18 354
Prashant Nadkarni United States 6 129 1.2× 87 1.1× 115 1.6× 23 0.4× 53 1.4× 9 372
Julia Brodt-Eppley United States 7 63 0.6× 43 0.5× 43 0.6× 7 0.1× 27 0.7× 9 392
Abdullah Olgun Türkiye 10 171 1.5× 24 0.3× 61 0.9× 10 0.2× 63 1.7× 28 355

Countries citing papers authored by Rachel E. Foreman

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Foreman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel E. Foreman

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

All Works

17 of 17 papers shown
1.
Smith, Christopher A., Tamana Darwish, Jo E. Lewis, et al.. (2024). Single-cell transcriptomic atlas of enteroendocrine cells along the murine gastrointestinal tract. PLoS ONE. 19(10). e0308942–e0308942. 8 indexed citations
2.
Foreman, Rachel E., Christopher Bannon, Richard G. Kay, Frank Reimann, & Fiona M. Gribble. (2024). Motilin fluctuations in healthy volunteers determined by liquid chromatography mass spectrometry. Frontiers in Endocrinology. 15. 1348146–1348146. 3 indexed citations
3.
Foreman, Rachel E., et al.. (2024). Optimized LC-MS/MS methods for quantifying antibody–drug conjugate payloads in cell culture media containing phenol red. Bioanalysis. 16(12). 575–585. 2 indexed citations
4.
George, Amy L., et al.. (2023). Rapid and Quantitative Enrichment of Peptides from Plasma for Mass Spectrometric Analysis. Methods in molecular biology. 2628. 477–488. 3 indexed citations
5.
Foreman, Rachel E., Emily L. Miedzybrodzka, Finnur Freyr Eiríksson, et al.. (2023). Optimized LC-MS/MS Method for the Detection of ppCCK(21–44): A Surrogate to Monitor Human Cholecystokinin Secretion. Journal of Proteome Research. 22(9). 2950–2958. 4 indexed citations
6.
Foreman, Rachel E., Claire L. Meek, Geoffrey Roberts, et al.. (2022). LC-MS/MS based detection of circulating proinsulin derived peptides in patients with altered pancreatic beta cell function. Journal of Chromatography B. 1211. 123482–123482. 5 indexed citations
7.
Miedzybrodzka, Emily L., Rachel E. Foreman, Van B. Lu, et al.. (2021). Stimulation of motilin secretion by bile, free fatty acids, and acidification in human duodenal organoids. Molecular Metabolism. 54. 101356–101356. 19 indexed citations
8.
Foreman, Rachel E., Amy L. George, Frank Reimann, Fiona M. Gribble, & Richard G. Kay. (2021). Peptidomics: A Review of Clinical Applications and Methodologies. Journal of Proteome Research. 20(8). 3782–3797. 57 indexed citations
9.
Kay, Richard G., Rachel E. Foreman, Pierre Larraufie, et al.. (2021). The Human and Mouse Islet Peptidome: Effects of Obesity and Type 2 Diabetes, and Assessment of Intraislet Production of Glucagon-like Peptide-1. Journal of Proteome Research. 20(9). 4507–4517. 20 indexed citations
10.
Miedzybrodzka, Emily L., Rachel E. Foreman, Van B. Lu, et al.. (2021). Stimulation of motilin secretion by bile, free fatty acids and acidification in human duodenal organoids. Endocrine Abstracts.
11.
Miedzybrodzka, Emily L., Rachel E. Foreman, Pierre Larraufie, et al.. (2020). Organoid Sample Preparation and Extraction for LC-MS Peptidomics. STAR Protocols. 1(3). 100164–100164. 10 indexed citations
12.
Goldspink, Deborah A., Van B. Lu, Emily L. Miedzybrodzka, et al.. (2020). Labeling and Characterization of Human GLP-1-Secreting L-cells in Primary Ileal Organoid Culture. Cell Reports. 31(13). 107833–107833. 54 indexed citations
13.
Lewis, Jo E., Emily L. Miedzybrodzka, Rachel E. Foreman, et al.. (2020). Selective stimulation of colonic L cells improves metabolic outcomes in mice. Diabetologia. 63(7). 1396–1407. 46 indexed citations
14.
Kay, Richard G., Rachel E. Foreman, Geoffrey Roberts, et al.. (2020). Mass spectrometric characterisation of the circulating peptidome following oral glucose ingestion in control and gastrectomised patients. Rapid Communications in Mass Spectrometry. 34(18). e8849–e8849. 14 indexed citations
15.
Pacifico, Salvatore, Rachel E. Foreman, Remo Guerrini, et al.. (2017). Urotensin-II peptidomimetic incorporating a non-reducible 1,5-triazole disulfide bond reveals a pseudo-irreversible covalent binding mechanism to the urotensin G-protein coupled receptor. Organic & Biomolecular Chemistry. 15(21). 4704–4710. 17 indexed citations
16.
Foreman, Rachel E., Jacques Cohen, Carole B. Fehilly, Simon Fishel, & R. G. Edwards. (1984). The application of the zona-free hamster egg test for the prognosis of human in vitro fertilization. Journal of Assisted Reproduction and Genetics. 1(3). 166–171. 36 indexed citations
17.
Foreman, Rachel E. & B.B. Boecker. (1969). Radioiodine Metabolism in the Beagle Dog: The Importance of Age and Mode of 131I Exposure. Experimental Biology and Medicine. 131(3). 980–985. 1 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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