Chad O’Gorman
Impact in
- Genetics top 10%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
Papers in
- Genetics 8
- Animal Genetics and Reproduction 6
- Genetic and phenotypic traits in livestock 2
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- CRISPR and Genetic Engineering 5
- Pluripotent Stem Cells Research 4
- Ubiquitin and proteasome pathways 1
- Co-authors
- Kevin D. Wells (8 shared papers)Randall S. Prather (6 shared papers)Jiude Mao (3 shared papers)Melissa Samuel (4 shared papers)Eric M. Walters (4 shared papers)Lee D. Spate (3 shared papers)Clifton N. Murphy (2 shared papers)Kristin M. Whitworth (3 shared papers)
- Journals
- Biology of Reproduction (4 papers)Reproduction Fertility and Development (2 papers)Animal Reproduction Science (1 paper)BioTechniques (1 paper)Cellular Reprogramming (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Chad O’Gorman
12 papers receiving 397 citations
Peers
Comparison fields: 5 of 58
- Genetics 227
- Business and International Management 13
- Aging 9
- Molecular Biology 289
- Reproductive Medicine 29
Countries citing papers authored by Chad O’Gorman
This map shows the geographic impact of Chad O’Gorman'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 Chad O’Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad O’Gorman more than expected).
Fields of papers citing papers by Chad O’Gorman
This network shows the impact of papers produced by Chad O’Gorman. 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 Chad O’Gorman. The network helps show where Chad O’Gorman may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad O’Gorman, 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 | 2014 | 273 | |
| 2 | 2013 | 43 | |
| 3 | 2018 | 28 | |
| 4 | 2014 | 27 | |
| 5 | 2014 | 19 | |
| 6 | 2010 | 7 | |
| 7 | 2009 | 4 | |
| 8 | 2018 | 2 | |
| 9 | 2010 | 1 | |
| 10 | 2016 | 1 | |
| 11 | 2010 | 1 | |
| 12 | 2008 | 1 |
About Chad O’Gorman
Chad O’Gorman is a scholar working on Genetics, Molecular Biology, Endocrine and Autonomic Systems, Epidemiology and Agronomy and Crop Science, having authored 12 papers that have together received 407 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (4 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Genetic and phenotypic traits in livestock (2 papers), Reproductive Physiology in Livestock (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Genetics (227 citations), Business and International Management (13 citations), Aging (9 citations), Molecular Biology (289 citations) and Reproductive Medicine (29 citations). Chad O’Gorman has collaborated with scholars based in United States and China. Frequent co-authors include Kevin D. Wells, Randall S. Prather, Jiude Mao, Melissa Samuel, Eric M. Walters, Lee D. Spate, Clifton N. Murphy, Kristin M. Whitworth, Kiho Lee and Joshua A. Benne. Their work appears in journals such as Biology of Reproduction, Reproduction Fertility and Development, Animal Reproduction Science, BioTechniques and Cellular Reprogramming.
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.