Kevin S. Guise
- Genetics top 5%
- Animal Genetics and Reproduction 14
- Virus-based gene therapy research 4
- Physiology top 10%
-
- CRISPR and Genetic Engineering 8
- Viral Infectious Diseases and Gene Expression in Insects 6
- Identification and Quantification in Food 3
- Genomics and Chromatin Dynamics 3
- Glycosylation and Glycoproteins Research 2
- Aquatic Science top 10%
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- Chromosomal and Genetic Variations 3
- Co-authors
- Anne R. KapuscinskiAnthony J. FarasPerry B. HackettZhanjiang LiuBoaz MoavZuoyan ZhuMichael B. TropakR A Gravel
- Cited by
- GeneticsPhysiologyMolecular Biology
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Kevin S. Guise
29 papers receiving 696 citations
Peers
Comparison fields: 5 of 79
- Genetics 394
- Physiology 40
- Molecular Biology 524
- Aquatic Science 39
- Cell Biology 71
Countries citing papers authored by Kevin S. Guise
This map shows the geographic impact of Kevin S. Guise'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 Kevin S. Guise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin S. Guise more than expected).
Fields of papers citing papers by Kevin S. Guise
This network shows the impact of papers produced by Kevin S. Guise. 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 Kevin S. Guise. The network helps show where Kevin S. Guise may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin S. Guise, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 9 | |
| 2 | 1996 | 4 | |
| 3 | 1992 | 2 | |
| 4 | Characterization of AluI repeats of zebrafish (Brachydanio rerio). | 1992 | 23 |
| 5 | 1991 | 16 | |
| 6 | 1991 | 21 | |
| 7 | 1990 | 72 | |
| 8 | 1990 | 2 | |
| 9 | 1990 | 58 | |
| 10 | 1990 | 14 | |
| 11 | Gene transfer in fish. | 1990 | 2 |
| 12 | 1990 | 17 | |
| 13 | 1989 | 6 | |
| 14 | 1989 | 24 | |
| 15 | 1988 | 6 | |
| 16 | 1988 | 1 | |
| 17 | 1988 | 10 | |
| 18 | 1987 | 1 | |
| 19 | 1987 | 156 | |
| 20 | 1985 | 24 |
About Kevin S. Guise
Kevin S. Guise is a scholar working on Genetics, Molecular Biology and Physiology, having authored 29 papers that have together received 744 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (14 papers), CRISPR and Genetic Engineering (8 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Virus-based gene therapy research (4 papers), Identification and Quantification in Food (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Genetics (394 citations), Physiology (40 citations) and Molecular Biology (524 citations). Kevin S. Guise has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Anne R. Kapuscinski, Anthony J. Faras, Perry B. Hackett, Zhanjiang Liu, Boaz Moav, Zuoyan Zhu, Michael B. Tropak, R A Gravel, Akihiko Oshima and Joseph W. Hoffmann. Their work appears in journals such as Poultry Science, Gene, Aquaculture, Journal of Heredity and Transactions of the American Fisheries Society.
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.