Wayne Wray

4.6k citations
35 papers · 4.2k indexed · 1 hit paper · h-index 15

Wayne Wray

35 papers receiving 3.8k citations

Hit Papers

Silver staining of proteins in polyacrylamide gels3.3k198120261996201110002.0k3.0k

Peers

Wayne Wray
Comparison fields: 5 of 130
  • Molecular Biology 2.7k
  • Cell Biology 530
  • Biotechnology 162
  • Genetics 521
  • Biochemistry 121
Replace Virginia P. Wray with:
Virginia P. Wray United States
Ronald Lee Hancock United States
Kenneth R. Woods United States
Patricia Z. O’Farrell United States
Angelika Görg Germany
Teni Boulikas United States
Haim Aviv Israel
Lloyd Waxman United States
U.I. Flügge Germany
S A Sedman United States
Wayne Wray relative to Virginia P. Wray United States Virginia P. Wray's profile →
Citations per field
00.5×1.5×
Virginia P. Wray · 1×
Citations per year

Countries citing papers authored by Wayne Wray

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Wray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19856
2 19841
3 198419
4 198321
5 1980165
6 19801
7 197873
8 197814
9 19784
10 19789
11
Isolated metaphase chromosomes: scanning electron microscopic appearance of salt-extracted chromosomes.
19778
12 19772
13 19773
14 197736
15 19762
16 197632
17 19767
18 197414
19 197317
20 1970195

About Wayne Wray

Wayne Wray is a scholar working on Cell Biology, Molecular Biology and Toxicology, having authored 35 papers that have together received 4.2k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (16 papers), DNA Repair Mechanisms (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (4 papers), Bacteriophages and microbial interactions (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Cell Biology (530 citations) and Biotechnology (162 citations). Wayne Wray has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Virginia P. Wray, Teni Boulikas, Ronald Lee Hancock, Elton Stubblefield, Stanley Bram, Patrick Froussard, Marcelle Guichard, Yerach Daskal, Myles L. Mace and C Jasmin. Their work appears in journals such as Experimental Cell Research, Cold Spring Harbor Symposia on Quantitative Biology, Nucleic Acids Research, Analytical Biochemistry and Chromosoma.

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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