Graham E. Corley-Smith
Impact in
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
-
- Zebrafish Biomedical Research Applications 5
- Genetics 6
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
- Animal Genetics and Reproduction 2
- Co-authors
- Bruce P. Brandhorst (7 shared papers)Lena G. Gerwick (3 shared papers)Christopher J. Bayne (3 shared papers)Chinten James Lim (3 shared papers)John H. Postlethwait (2 shared papers)Yi‐Lin Yan (1 shared paper)Amy Singer (1 shared paper)George Bailey (1 shared paper)
- Journals
- Genetics (2 papers)Biochemical and Biophysical Research Communications (1 paper)BioTechniques (1 paper)Fish & Shellfish Immunology (1 paper)Fish Physiology and Biochemistry (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Graham E. Corley-Smith
11 papers receiving 595 citations
Peers
Comparison fields: 5 of 73
- Physiology 99
- Aquatic Science 88
- Genetics 288
- Immunology 132
- Nature and Landscape Conservation 48
Countries citing papers authored by Graham E. Corley-Smith
This map shows the geographic impact of Graham E. Corley-Smith'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 Graham E. Corley-Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham E. Corley-Smith more than expected).
Fields of papers citing papers by Graham E. Corley-Smith
This network shows the impact of papers produced by Graham E. Corley-Smith. 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 Graham E. Corley-Smith. The network helps show where Graham E. Corley-Smith may publish in the future.
Co-authors
The 22 scholars most cited alongside Graham E. Corley-Smith, 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 | 2002 | 151 | |
| 2 | 2006 | 131 | |
| 3 | 1996 | 126 | |
| 4 | 1999 | 61 | |
| 5 | 2005 | 56 | |
| 6 | 2005 | 33 | |
| 7 | 1997 | 21 | |
| 8 | 1998 | 19 | |
| 9 | 2005 | 9 | |
| 10 | 2004 | 8 | |
| 11 | 2005 | 5 |
About Graham E. Corley-Smith
Graham E. Corley-Smith is a scholar working on Cell Biology, Genetics, Molecular Biology, Immunology and Physiology, having authored 11 papers that have together received 620 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Animal Genetics and Reproduction (2 papers), Aquaculture disease management and microbiota (2 papers), Molecular Biology Techniques and Applications (2 papers), Pregnancy and preeclampsia studies (1 paper), Gene expression and cancer classification (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Physiology (99 citations), Aquatic Science (88 citations), Genetics (288 citations), Immunology (132 citations) and Nature and Landscape Conservation (48 citations). Graham E. Corley-Smith has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Bruce P. Brandhorst, Lena G. Gerwick, Christopher J. Bayne, Chinten James Lim, John H. Postlethwait, Yi‐Lin Yan, Amy Singer, George Bailey, David E. Williams and Susan C. Tilton. Their work appears in journals such as Genetics, Biochemical and Biophysical Research Communications, BioTechniques, Fish & Shellfish Immunology and Fish Physiology and Biochemistry.
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.