Brandon Willis
Impact in
Papers in
-
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 2
- Genetics 6
- Animal Genetics and Reproduction 3
- Co-authors
- K. C. Kent Lloyd (12 shared papers)Joshua A. Wood (3 shared papers)A 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)Michael Adkisson (2 shared papers)
- Journals
- Transgenic Research (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)PLoS ONE (2 papers)Journal of Inherited Metabolic Disease (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Brandon Willis
22 papers receiving 259 citations
Peers
Comparison fields: 5 of 78
- Aging 9
- Business and International Management 6
- Genetics 67
- Molecular Biology 164
- Clinical Biochemistry 15
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2021 | 29 | |
| 3 | 2016 | 23 | |
| 4 | 2009 | 19 | |
| 5 | 2018 | 17 | |
| 6 | 2020 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2009 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2015 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2012 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 1969 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 2 |
About Brandon Willis
Brandon Willis is a scholar working on Molecular Biology, Genetics, Surgery, Sociology and Political Science and Oncology, having authored 22 papers that have together received 264 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (3 papers), Animal Genetics and Reproduction (3 papers), Metabolism and Genetic Disorders (2 papers), Phagocytosis and Immune Regulation (2 papers), Genomics and Chromatin Dynamics (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (9 citations), Business and International Management (6 citations), Genetics (67 citations), Molecular Biology (164 citations) and Clinical Biochemistry (15 citations). Brandon Willis has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include K. C. Kent Lloyd, Joshua A. Wood, A Modzelewski, Sean Chen, Lin He, Stephen M. Griffey, Jimmy L. Spearow, Michael Adkisson, Stephen J. Pandol and Alessia Nava. Their work appears in journals such as Transgenic Research, American Journal of Physiology-Endocrinology and Metabolism, PLoS ONE, Journal of Inherited Metabolic Disease and Molecular Genetics and Metabolism.
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.