Wayne Wray
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
- Genetics 13
- Genomic variations and chromosomal abnormalities 13
-
- Chromosomal and Genetic Variations 14
- Co-authors
- Virginia P. Wray (6 shared papers)Teni Boulikas (1 shared paper)Elton Stubblefield (6 shared papers)Myles L. Mace (3 shared papers)Stanley Bram (2 shared papers)Yerach Daskal (1 shared paper)C Jasmin (1 shared paper)Marcelle Guichard (1 shared paper)
- Journals
- Experimental Cell Research (5 papers)Analytical Biochemistry (2 papers)Chromosoma (2 papers)Histochemistry and Cell Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Wayne Wray
31 papers receiving 3.8k citations
Wayne Wray's Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2k
- Cell Biology 322
- Genetics 475
- Cancer Research 207
- Biotechnology 105
Countries citing papers authored by Wayne Wray
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
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-authors
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.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Silver staining of proteins in polyacrylamide gels Hit paper breakdown → | 1981 | 3308 |
| 2 | 1970 | 216 | |
| 3 | 1980 | 167 | |
| 4 | 1971 | 124 | |
| 5 | 1978 | 78 | |
| 6 | 1976 | 42 | |
| 7 | 1977 | 36 | |
| 8 | 1972 | 27 | |
| 9 | 1980 | 26 | |
| 10 | 1983 | 24 | |
| 11 | 1984 | 24 | |
| 12 | 1973 | 21 | |
| 13 | 1970 | 18 | |
| 14 | 1973 | 16 | |
| 15 | 1978 | 16 | |
| 16 | 1980 | 12 | |
| 17 | 1974 | 10 | |
| 18 | 1979 | 10 | |
| 19 | 1975 | 9 | |
| 20 | 1976 | 9 |
About Wayne Wray
Wayne Wray is a scholar working on Genetics, Plant Science, Molecular Biology, Cell Biology and Spectroscopy, having authored 32 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), Chromosomal and Genetic Variations (14 papers), Genomic variations and chromosomal abnormalities (13 papers), Nuclear Structure and Function (4 papers), Microtubule and mitosis dynamics (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Protein Structure and Dynamics (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Molecular Biology (2k citations), Cell Biology (322 citations), Genetics (475 citations), Cancer Research (207 citations) and Biotechnology (105 citations). Wayne Wray has collaborated with scholars based in United States and France. Frequent co-authors include Virginia P. Wray, Teni Boulikas, Elton Stubblefield, Myles L. Mace, Stanley Bram, Yerach Daskal, C Jasmin, Marcelle Guichard, Patrick Froussard and Yvette Augery-Bourget. Their work appears in journals such as Experimental Cell Research, Analytical Biochemistry, Chromosoma, Histochemistry and Cell Biology and Nucleic Acids Research.
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.