B E Wray

739 citations
12 papers · 591 · h-index 8

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Mitochondrial Function and Pathology 2
    • Biochemical effects in animals 2
    • Erythrocyte Function and Pathophysiology 1
    • Pain Mechanisms and Treatments 1

B E Wray

11 papers receiving 559 citations

Peers

B E Wray
Comparison fields: 5 of 82
  • Cell Biology 121
  • Hepatology 56
  • Cellular and Molecular Neuroscience 118
  • Molecular Biology 372
  • Biophysics 23
Replace G. Gaja with:
G. Gaja Italy
Blanca Delgado‐Coello Mexico
Bruno Gavillet Switzerland
Robert P. Bolender United States
José Manuel Mas Spain
Y A Hannun United States
R C Venema United States
Corinna Henkel Germany
Christina Piskernik Austria
Philip K. Tan United States
B E Wray relative to G. Gaja Italy G. Gaja's profile →
Citations per field
00.5×3.1×
G. Gaja · 1×
Citations per year

Countries citing papers authored by B E Wray

Since Specialization
Citations

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

Fields of papers citing papers by B E Wray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside B E Wray, 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 B E Wray Line = papers co-authored together B E Wray links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1989198
2 1984144
3 198898
4 198546
5 198734
6 199021
7 199020
8 198416
9 19907
10
Quantitative DNA analysis: a comparison of conventional DNA ploidy analysis and teleploidy.
19954
11 19963
12 20200

About B E Wray

B E Wray is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Biophysics, having authored 12 papers that have together received 591 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Lipid Membrane Structure and Behavior (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Mitochondrial Function and Pathology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Biochemical effects in animals (2 papers), Erythrocyte Function and Pathophysiology (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Cell Biology (121 citations), Hepatology (56 citations), Cellular and Molecular Neuroscience (118 citations), Molecular Biology (372 citations) and Biophysics (23 citations). B E Wray has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Robert Sealock, B. Herman, John J. Lemasters, Gregory J. Gores, Stanley C. Froehner, A. L. Nieminen, Y. Tanaka, William J. LaRochelle, David R. Clemmons and Michael W. Roe. Their work appears in journals such as The Journal of Cell Biology, Environmental Health Perspectives, Cell Calcium, Journal of Microscopy and Journal of Histochemistry & Cytochemistry.

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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