Rachel E. Laskey

39 papers receiving 1.8k citations

Peers

Rachel E. Laskey
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 457
  • Physiology 412
  • Endocrinology, Diabetes and Metabolism 227
  • Physiology 57
  • Biochemistry 89
Replace Yoshiko Tokutomi with:
Yoshiko Tokutomi Japan
Catharine I. Whiteside Canada
Souad Belmadani United States
Franziska Theilig Germany
Shinichi Hirotani Japan
Pamela Harding United States
Paul M. Kerr United Kingdom
Lei Cui China
María Galán Spain
Annemarieke E. Loot Germany
Rachel E. Laskey relative to Yoshiko Tokutomi Japan Yoshiko Tokutomi's profile →
Citations per field
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Yoshiko Tokutomi · 1×
Citations per year

Countries citing papers authored by Rachel E. Laskey

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Laskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Laskey. 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 Rachel E. Laskey. The network helps show where Rachel E. Laskey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989388
2 2017236
3 2013132
4 1990112
5 201379
6 201569
7 199265
8 201658
9 199153
10 199450
11 201749
12 201449
13 201747
14 201542
15 201540
16 201538
17 202036
18 201436
19 199636
20 200133

About Rachel E. Laskey

Rachel E. Laskey is a scholar working on Surgery, Cellular and Molecular Neuroscience, Physiology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Nitric Oxide and Endothelin Effects (6 papers), Ion channel regulation and function (5 papers), Cardiac Ischemia and Reperfusion (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (457 citations), Physiology (412 citations), Endocrinology, Diabetes and Metabolism (227 citations), Physiology (57 citations) and Biochemistry (89 citations). Rachel E. Laskey has collaborated with scholars based in United States, Netherlands and Norway. Frequent co-authors include David John Adams, Rana S. Fayyad, David A. DeMicco, Cornelis van Breemen, Sripal Bangalore, David D. Waters, Franz H. Messerli, Cornells van Breemen, John J.P. Kastelein and Gabor M. Rubanyi. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, The American Journal of Medicine, International Journal of Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.

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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