Brandon Willis
Impact in
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- Animal Genetics and Reproduction
- Virus-based gene therapy research
Papers in
- Genetics 9
- Animal Genetics and Reproduction 4
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- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 3
- Biochemical and Molecular Research 3
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 3
- Co-authors
- K. C. Kent Lloyd (13 shared papers)Joshua A. Wood (3 shared papers)Andrew J. Modzelewski (1 shared paper)Sean Chen (1 shared paper)Lin He (1 shared paper)Stephen M. Griffey (1 shared paper)Jimmy L. Spearow (1 shared paper)Jeffrey J. Easler (1 shared paper)
- Journals
- Genetics in Medicine (3 papers)PLoS ONE (2 papers)Genome biology (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Transgenic Research (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Brandon Willis
31 papers receiving 493 citations
Peers
Comparison fields: 5 of 90
- Aging 19
- Genetics 134
- Molecular Biology 319
- Business and International Management 7
- Reproductive Medicine 23
Countries citing papers authored by Brandon Willis
This map shows the geographic impact of Brandon Willis'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 Brandon Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Willis more than expected).
Fields of papers citing papers by Brandon Willis
This network shows the impact of papers produced by Brandon Willis. 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 Brandon Willis. The network helps show where Brandon Willis may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Willis, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2021 | 75 | |
| 3 | 2019 | 59 | |
| 4 | 2022 | 36 | |
| 5 | 2021 | 33 | |
| 6 | 2016 | 24 | |
| 7 | 2009 | 24 | |
| 8 | 2018 | 19 | |
| 9 | 2023 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2009 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2012 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 1969 | 4 | |
| 20 | 2024 | 4 |
About Brandon Willis
Brandon Willis is a scholar working on Genetics, Molecular Biology, Clinical Biochemistry, Cell Biology and Aging, having authored 31 papers that have together received 504 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (3 papers), Biochemical and Molecular Research (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Metabolism and Genetic Disorders (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Aging (19 citations), Genetics (134 citations), Molecular Biology (319 citations), Business and International Management (7 citations) and Reproductive Medicine (23 citations). Brandon Willis has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include K. C. Kent Lloyd, Joshua A. Wood, Andrew J. Modzelewski, Sean Chen, Lin He, Stephen M. Griffey, Jimmy L. Spearow, Jeffrey J. Easler, Jason J. Kwon and Evan L. Fogel. Their work appears in journals such as Genetics in Medicine, PLoS ONE, Genome biology, American Journal of Physiology-Endocrinology and Metabolism and Transgenic 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.