Meira Fields

74 papers receiving 1.1k citations

Peers

Meira Fields
Comparison fields: 5 of 92
  • Nutrition and Dietetics 604
  • Endocrinology, Diabetes and Metabolism 386
  • Hematology 163
  • Clinical Biochemistry 90
  • Health, Toxicology and Mutagenesis 160
Replace Charles G. Lewis with:
Charles G. Lewis United States
Elyette Gueux France
Catherine Calzada France
John Duett United States
Hélio Vannucchi Brazil
Arzu Seven Türkiye
Adinath N. Suryakar India
M. Rodo Poland
Marcella L. Porto Brazil
Wesley K. Canfield United States
Meira Fields relative to Charles G. Lewis United States Charles G. Lewis's profile →
Citations per field
00.5×1.5×2.0×
Charles G. Lewis · 1×
Citations per year

Countries citing papers authored by Meira Fields

Since Specialization
Citations

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

Fields of papers citing papers by Meira Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meira Fields. 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 Meira Fields. The network helps show where Meira Fields may publish in the future.

Co-authors

The 25 scholars most cited alongside Meira Fields, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meira Fields Line = papers co-authored together Meira Fields links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198392
2 198485
3 198477
4 199663
5 198844
6 198439
7 199138
8 198936
9 198936
10 199235
11
Effect of copper on carbohydrate metabolism in rats.
198234
12 198733
13 198632
14 198430
15 198624
16 199023
17 198522
18 200221
19 198321
20 198617

About Meira Fields

Meira Fields is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Hematology, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trace Elements in Health (31 papers), Diet, Metabolism, and Disease (30 papers), Liver Disease Diagnosis and Treatment (27 papers), Iron Metabolism and Disorders (13 papers), Diet and metabolism studies (11 papers), Metabolism and Genetic Disorders (11 papers), Biochemical effects in animals (7 papers) and Alcohol Consumption and Health Effects (6 papers). The work is most often cited by research in Nutrition and Dietetics (604 citations), Endocrinology, Diabetes and Metabolism (386 citations), Hematology (163 citations), Clinical Biochemistry (90 citations) and Health, Toxicology and Mutagenesis (160 citations). Meira Fields has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Charles G. Lewis, Sheldon Reiser, Renato Ferretti, James C. Smith, J. Cecil Smith, William E. Antholine, Janet T. Holbrook, Daniel J. Scholfield, Robert S. Redman and I. Bureau. Their work appears in journals such as Journal of the American College of Nutrition, Journal of Nutrition, Metabolism, Biological Trace Element Research and Experimental Biology and Medicine.

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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