Natalie J Thatcher

678 total citations
15 papers, 505 citations indexed

About

Natalie J Thatcher is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Natalie J Thatcher has authored 15 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Pathology and Forensic Medicine and 4 papers in Genetics. Recurrent topics in Natalie J Thatcher's work include Phytoestrogen effects and research (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Natalie J Thatcher is often cited by papers focused on Phytoestrogen effects and research (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Natalie J Thatcher collaborates with scholars based in United Kingdom, Qatar and Italy. Natalie J Thatcher's co-authors include Stephen L. Atkin, Thozhukat Sathyapalan, Alan S. Rigby, Eric S. Kilpatrick, Mo Aye, Darren C. Greenwood, Ye Jin, Janet Cade, Eric S Kilpatrick and Soha R. Dargham and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Bone and Mineral Research.

In The Last Decade

Natalie J Thatcher

15 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie J Thatcher United Kingdom 12 211 126 104 101 81 15 505
Orsolya Mezei United States 5 312 1.5× 230 1.8× 141 1.4× 91 0.9× 31 0.4× 6 544
Olga Portolés Spain 14 83 0.4× 96 0.8× 129 1.2× 152 1.5× 209 2.6× 36 660
Judith M. Hill United States 7 229 1.1× 81 0.6× 92 0.9× 81 0.8× 18 0.2× 11 513
Caroline Puel France 14 124 0.6× 54 0.4× 218 2.1× 79 0.8× 45 0.6× 16 640
Susan R. Shelnutt United States 9 354 1.7× 155 1.2× 111 1.1× 104 1.0× 36 0.4× 13 633
Sherri Brown United States 9 72 0.3× 60 0.5× 190 1.8× 43 0.4× 31 0.4× 10 568
Paulette S. Wilson United States 10 123 0.6× 72 0.6× 202 1.9× 53 0.5× 64 0.8× 11 722
G. C. Descovich Italy 12 149 0.7× 122 1.0× 131 1.3× 40 0.4× 74 0.9× 17 521
R. Bowen Canada 5 298 1.4× 90 0.7× 94 0.9× 101 1.0× 14 0.2× 7 459
Herman Adlercreutz Finland 7 387 1.8× 151 1.2× 93 0.9× 214 2.1× 51 0.6× 7 621

Countries citing papers authored by Natalie J Thatcher

Since Specialization
Citations

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

Fields of papers citing papers by Natalie J Thatcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie J Thatcher. 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 Natalie J Thatcher. The network helps show where Natalie J Thatcher may publish in the future.

Co-authorship network of co-authors of Natalie J Thatcher

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

All Works

15 of 15 papers shown
1.
Deshmukh, Harshal, Lesa L. Aylward, Martin Rose, et al.. (2020). Association of endocrine active environmental compounds with body mass index and weight loss following bariatric surgery. Clinical Endocrinology. 93(3). 280–287. 8 indexed citations
2.
Sathyapalan, Thozhukat, Mo Aye, Alan S. Rigby, et al.. (2018). Soy isoflavones improve cardiovascular disease risk markers in women during the early menopause. Nutrition Metabolism and Cardiovascular Diseases. 28(7). 691–697. 98 indexed citations
3.
Sathyapalan, Thozhukat, et al.. (2018). The Effect of Phytoestrogen on Thyroid in Subclinical Hypothyroidism: Randomized, Double Blind, Crossover Study. Frontiers in Endocrinology. 9. 531–531. 12 indexed citations
4.
Hardie, Laura J., Kay White, Yunru Liu, et al.. (2017). Deoxynivalenol Biomarkers in the Urine of UK Vegetarians. Toxins. 9(7). 196–196. 19 indexed citations
5.
Sathyapalan, Thozhukat, Lesa L. Aylward, Natalie J Thatcher, et al.. (2016). Concentrations of Chlorinated and Brominated Dioxins, Furans and PBDEs in Human Liver, Subcutaneous and Visceral Adipose Tissue in the United Kingdom. Research Explorer (The University of Manchester). 1 indexed citations
6.
Sathyapalan, Thozhukat, Mo Aye, Alan S. Rigby, et al.. (2016). Soy Reduces Bone Turnover Markers in Women During Early Menopause: A Randomized Controlled Trial. Journal of Bone and Mineral Research. 32(1). 157–164. 43 indexed citations
7.
Sathyapalan, Thozhukat, Alan S. Rigby, Shalender Bhasin, et al.. (2016). Effect of Soy in Men With Type 2 Diabetes Mellitus and Subclinical Hypogonadism – A Randomized Controlled Study. The Journal of Clinical Endocrinology & Metabolism. jc.2016–2875. 44 indexed citations
8.
Sathyapalan, Thozhukat, Natalie J Thatcher, Alan S. Rigby, Eric S. Kilpatrick, & Stephen L. Atkin. (2015). The effect of soy protein with and without isoflavones in men with type 2 diabetes mellitus and subclinical hypogonadism: a randomised double-blind parallel study. Endocrine Abstracts. 1 indexed citations
9.
Sathyapalan, Thozhukat, Natalie J Thatcher, Richard Hammersley, et al.. (2015). Aspartame Sensitivity? A Double Blind Randomised Crossover Study. PLoS ONE. 10(3). e0116212–e0116212. 13 indexed citations
10.
Greenwood, Darren C., et al.. (2014). Caffeine intake during pregnancy and adverse birth outcomes: a systematic review and dose–response meta-analysis. European Journal of Epidemiology. 29(10). 725–734. 103 indexed citations
11.
Shor, Dana Ben‐Ami, Thozhukat Sathyapalan, Stephen L. Atkin, & Natalie J Thatcher. (2012). Does equol production determine soy endocrine effects?. European Journal of Nutrition. 51(4). 389–398. 46 indexed citations
12.
Sathyapalan, Thozhukat, et al.. (2011). The Effect of Soy Phytoestrogen Supplementation on Thyroid Status and Cardiovascular Risk Markers in Patients with Subclinical Hypothyroidism: A Randomized, Double-Blind, Crossover Study. The Journal of Clinical Endocrinology & Metabolism. 96(5). 1442–1449. 74 indexed citations
13.
Thatcher, Natalie J & Stephen Murray. (2001). Analysis of the glutathione conjugate of paracetamol in human liver microsomal fraction by liquid chromatography mass spectrometry. Biomedical Chromatography. 15(6). 374–378. 13 indexed citations
14.
Thatcher, Natalie J, Robert J. Edwards, Nicholas R. Lemoine, Johannes Doehmer, & Donald S. Davies. (2000). The potential of acetaminophen as a prodrug in gene-directed enzyme prodrug therapy. Cancer Gene Therapy. 7(4). 521–525. 12 indexed citations
15.
Thatcher, Natalie J & John A. Caldwell. (1994). Origins of hepatomegaly produced by dexamethasone (DEX), pregnenolone 16 α-carbonitrile (PCN) and phenobarbitone (PB) in female Sprague-Dawley rats. Biochemical Society Transactions. 22(2). 132S–132S. 18 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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