Brandon D. Fields
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
Papers in ⓘ
-
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Heat shock proteins research 1
- Muscle Physiology and Disorders 1
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Scott Kennedy (6 shared papers)Gang Wan (4 shared papers)George Spracklin (2 shared papers)Aditi Shukla (2 shared papers)Carolyn M. Phillips (1 shared paper)Son C. Nguyen (1 shared paper)Guy Nir (1 shared paper)Arneet L. Saltzman (1 shared paper)
- Journals
- Genetics (2 papers)The EMBO Journal (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Brandon D. Fields
9 papers receiving 410 citations
Peers
Comparison fields: 5 of 51
- Aging 173
- Molecular Biology 355
- Plant Science 87
- Genetics 46
- Endocrine and Autonomic Systems 10
Countries citing papers authored by Brandon D. Fields
This map shows the geographic impact of Brandon D. Fields'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 D. Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon D. Fields more than expected).
Fields of papers citing papers by Brandon D. Fields
This network shows the impact of papers produced by Brandon D. Fields. 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 D. Fields. The network helps show where Brandon D. Fields may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon D. Fields, 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 | 2018 | 147 | |
| 2 | 2017 | 95 | |
| 3 | 2012 | 32 | |
| 4 | 2018 | 31 | |
| 5 | 2019 | 30 | |
| 6 | 2024 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 17 | |
| 9 | 2023 | 16 |
About Brandon D. Fields
Brandon D. Fields is a scholar working on Molecular Biology, Aging, Plant Science, Genetics and Infectious Diseases, having authored 9 papers that have together received 410 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (2 papers), Heat shock proteins research (1 paper), Plant-Microbe Interactions and Immunity (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Aging (173 citations), Molecular Biology (355 citations), Plant Science (87 citations), Genetics (46 citations) and Endocrine and Autonomic Systems (10 citations). Brandon D. Fields has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott Kennedy, Gang Wan, George Spracklin, Aditi Shukla, Carolyn M. Phillips, Son C. Nguyen, Guy Nir, Arneet L. Saltzman, Roberto Perales and Christopher A. Voigt. Their work appears in journals such as Genetics, The EMBO Journal, Scientific Reports, Nature Communications and PLoS Genetics.
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.