Alan T. Remaley

6.0k citations
117 papers · 3.6k indexed · h-index 34

Impact in

Papers in

Alan T. Remaley

111 papers receiving 3.5k citations

Peers

Alan T. Remaley
Comparison fields: 5 of 139
  • Endocrinology, Diabetes and Metabolism 548
  • Cancer Research 379
  • Physiology 650
  • Immunology 512
  • Hematology 268
Replace Takashi Miida with:
Takashi Miida Japan
Mario Pirisi Italy
Warren L. Lee Canada
Andreas Geier Germany
Georg Egger Austria
Norifumi Kawada Japan
György Paragh Hungary
Yukihiko Adachi Japan
Ioannis P. Trougakos Greece
Pauline de la Μ. Hall Australia
Alan T. Remaley relative to Takashi Miida Japan Takashi Miida's profile →
Citations per field
00.5×1.5×1.8×
Takashi Miida · 1×
Citations per year

Countries citing papers authored by Alan T. Remaley

Since Specialization
Citations

This map shows the geographic impact of Alan T. Remaley'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 Alan T. Remaley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan T. Remaley more than expected).

Fields of papers citing papers by Alan T. Remaley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan T. Remaley. 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 Alan T. Remaley. The network helps show where Alan T. Remaley may publish in the future.

Co-authors

The 25 scholars most cited alongside Alan T. Remaley, 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 Alan T. Remaley Line = papers co-authored together Alan T. Remaley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20252
5 20241
6 20244
7 20241
8 202430
9 20240
10 20241
11 20242
12 20242
13 202317
14 202319
15 202214
16 202116
17 20206
18 201826
19 201431
20 200612

About Alan T. Remaley

Alan T. Remaley is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Biochemistry, Biochemistry and Nutrition and Dietetics, having authored 117 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), Lipoproteins and Cardiovascular Health (15 papers), Cholesterol and Lipid Metabolism (15 papers), Fatty Acid Research and Health (10 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Caveolin-1 and cellular processes (6 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (548 citations), Cancer Research (379 citations), Physiology (650 citations), Immunology (512 citations) and Hematology (268 citations). Alan T. Remaley has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Raffick A.R. Bowen, Lita A. Freeman, Glen L. Hortin, Anna Wolska, Marcelo Amar, György Csákó, Zhihong Yang, Denis Sviridov, Asish K. Saha and Robert H. Glew. Their work appears in journals such as Clinical Chemistry, Journal of Lipid Research, Circulation, Journal of clinical lipidology and PLoS ONE.

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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