Richard E. Abbott

697 citations
16 papers · 589 · h-index 12

Impact in

  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology
  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism

Papers in

    • Erythrocyte Function and Pathophysiology 9
    • Lipid Membrane Structure and Behavior 8
    • Ion Transport and Channel Regulation 1

Richard E. Abbott

16 papers receiving 540 citations

Peers

Richard E. Abbott
Comparison fields: 5 of 79
  • Physiology 242
  • Biochemistry 60
  • Molecular Biology 360
  • Cellular and Molecular Neuroscience 57
  • Cell Biology 49
Replace R. I. Macey with:
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Citations per field
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Citations per year

Countries citing papers authored by Richard E. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Richard E. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Richard E. Abbott, 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 Richard E. Abbott Line = papers co-authored together Richard E. Abbott links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1976101
2 197699
3 197998
4 198268
5 197747
6 198542
7
Membrane lipid dynamics in human promyelocytic leukemia cells sensitive and resistant to 12-O-tetradecanoylphorbol-13-acetate induction of differentiation.
198430
8 198325
9 198622
10 199416
11 197913
12 197911
13 19915
14 19805
15 19794
16 19943

About Richard E. Abbott

Richard E. Abbott is a scholar working on Physiology, Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine and Cell Biology, having authored 16 papers that have together received 589 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (9 papers), Lipid Membrane Structure and Behavior (8 papers), Blood properties and coagulation (4 papers), Surfactants and Colloidal Systems (3 papers), Neonatal Health and Biochemistry (2 papers), Hemoglobin structure and function (2 papers), Sodium Intake and Health (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Physiology (242 citations), Biochemistry (60 citations), Molecular Biology (360 citations), Cellular and Molecular Neuroscience (57 citations) and Cell Biology (49 citations). Richard E. Abbott has collaborated with scholars based in United States and Israel. Frequent co-authors include David Schachter, Uri Cogan, Meir Shinitzky, Shu Chien, Shlomoh Simchon, Kung-Ming Jan, A. Chabanel, Lily Soo, Martin Blank and Michael F. Callaham. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Colloid and Interface Science, Journal of Biological Chemistry, Biochemistry and Hypertension.

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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