L G Downs

571 citations
16 papers · 463 · h-index 10

Impact in

Papers in

L G Downs

15 papers receiving 438 citations

Peers

L G Downs
Comparison fields: 5 of 83
  • Nephrology 119
  • Endocrinology, Diabetes and Metabolism 103
  • Cardiology and Cardiovascular Medicine 117
  • Clinical Biochemistry 28
  • Small Animals 29
Replace Yasemin Usul Soyoral with:
Yasemin Usul Soyoral Türkiye
Muirhead Ee United States
Neda Pecori Italy
S Nilwarangkur Thailand
D. Rae Australia
Subir R. Maitra United States
Takahide Okumura Japan
Roy McGuire United States
Matti Nikkilä Finland
Michiel P. C. Siroen Netherlands
L G Downs relative to Yasemin Usul Soyoral Türkiye Yasemin Usul Soyoral's profile →
Citations per field
00.5×1.5×2.4×
Yasemin Usul Soyoral · 1×
Citations per year

Countries citing papers authored by L G Downs

Since Specialization
Citations

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

Fields of papers citing papers by L G Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L G Downs. 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 L G Downs. The network helps show where L G Downs may publish in the future.

Co-authors

The 22 scholars most cited alongside L G Downs, 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 L G Downs Line = papers co-authored together L G Downs links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2001233
2 200041
3 199333
4
Coffee, blood pressure and plasma lipids: a randomized controlled trial.
198930
5 199925
6 199716
7 199413
8 199312
9 199212
10 199711
11 19899
12 20009
13 19908
14
Effect of reduced phytate wheat bran on zinc absorption.
19897
15 19883
16 19971

About L G Downs

L G Downs is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Blood Pressure and Hypertension Studies (2 papers), Muscle metabolism and nutrition (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Nephrology (119 citations), Endocrinology, Diabetes and Metabolism (103 citations), Cardiology and Cardiovascular Medicine (117 citations), Clinical Biochemistry (28 citations) and Small Animals (29 citations). L G Downs has collaborated with scholars based in United Kingdom and South Sudan. Frequent co-authors include C. Bolton, Mike Mackness, Jonathan Pinkney, Charles Tomson, Jeremy Dwight, Sheila Crispin, J. M. Wills, P M Sweetnam, Paul N. Durrington and P C Elwood. Their work appears in journals such as Research in Veterinary Science, Biochemical Society Transactions, Journal of the Royal Society of Medicine, Veterinary Record and Nephrology Dialysis Transplantation.

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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