Mark F. Oldfield

785 total citations
15 papers, 617 citations indexed

About

Mark F. Oldfield is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mark F. Oldfield has authored 15 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 7 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mark F. Oldfield's work include Phytoestrogen effects and research (8 papers), Diet, Metabolism, and Disease (4 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Mark F. Oldfield is often cited by papers focused on Phytoestrogen effects and research (8 papers), Diet, Metabolism, and Disease (4 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Mark F. Oldfield collaborates with scholars based in United Kingdom, South Africa and United States. Mark F. Oldfield's co-authors include Nigel P. Botting, Tony Avades, Nadine M. Brown, Marian S. Faughnan, Wayne T. Brashear, Aedín Cassidy, Linda Zimmer-Nechemias, Brian Wolfe, Kenneth D.R. Setchell and Sheila Bingham and has published in prestigious journals such as American Journal of Clinical Nutrition, Analytical Biochemistry and Food Chemistry.

In The Last Decade

Mark F. Oldfield

15 papers receiving 594 citations

Peers

Mark F. Oldfield
Comparison fields: 5 of 75
  • Pathology and Forensic Medicine 423
  • Molecular Biology 172
  • Nutrition and Dietetics 129
  • Endocrinology, Diabetes and Metabolism 127
  • Genetics 121
Replace Richard J. Schwen with:
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Quynh-Hoa Tran-Thi Germany
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Richard J. Schwen United States View profile →
Citations per field, relative to Mark F. Oldfield
Mark F. Oldfield · 1×
Citations per year, relative to Mark F. Oldfield
Mark F. Oldfield · 1×

Countries citing papers authored by Mark F. Oldfield

Since Specialization
Citations

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

Fields of papers citing papers by Mark F. Oldfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark F. Oldfield. 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 Mark F. Oldfield. The network helps show where Mark F. Oldfield may publish in the future.

Co-authorship network of co-authors of Mark F. Oldfield

This figure shows the co-authorship network connecting the top 25 collaborators of Mark F. Oldfield. A scholar is included among the top collaborators of Mark F. Oldfield 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 Mark F. Oldfield. Mark F. Oldfield 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
# Work Indexed citations
1 9
2 6
3 7
4 21
5 64
6 72
7 253
8 83
9 33
10 8
11 6
12 8
13 3
14
Inhibition of gamma-aminobutyric acid release by gamma-aminobutyric acid agonist drugs. Pharmacology of the gamma-aminobutyric acid autoreceptor.
35
15 9

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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2026