Natalie J Thatcher
- Pathology and Forensic Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Stephen L. AtkinThozhukat SathyapalanAlan S. RigbyEric S. KilpatrickMo AyeJanet CadeDarren C. GreenwoodYe Jin
- Topics
- Phytoestrogen effects and research (6 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Journals
- PLoS ONEThe Journal of Clinical Endocrinology & MetabolismJournal of Bone and Mineral Research
- Partner nations
- United KingdomQatarItaly
In The Last Decade
Natalie J Thatcher
15 papers receiving 489 citations
Peers
Comparison fields: 5 of 78
- Pathology and Forensic Medicine 211
- Endocrinology, Diabetes and Metabolism 126
- Molecular Biology 104
- Genetics 101
- Public Health, Environmental and Occupational Health 81
Countries citing papers authored by Natalie J Thatcher
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 98 | |
| 4 | 19 | |
| 5 | Concentrations of Chlorinated and Brominated Dioxins, Furans and PBDEs in Human Liver, Subcutaneous and Visceral Adipose Tissue in the United Kingdom | 1 |
| 6 | 43 | |
| 7 | 44 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 103 | |
| 11 | 46 | |
| 12 | 74 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 18 |
About Natalie J Thatcher
Natalie J Thatcher is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Pathology and Forensic Medicine, having authored 15 papers that have together received 505 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (211 citations), Endocrinology, Diabetes and Metabolism (126 citations) and Drug Discovery (1 citation). Natalie J Thatcher has collaborated with scholars based in United Kingdom, Qatar and Italy. Frequent co-authors include Stephen L. Atkin, Thozhukat Sathyapalan, Alan S. Rigby, Eric S. Kilpatrick, Mo Aye, Janet Cade, Darren C. Greenwood, Ye Jin, Soha R. Dargham and Eric S Kilpatrick. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Bone and Mineral Research.
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.