Benjamin Fair
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 4
- Gene expression and cancer classification 1
- Microbial Metabolic Engineering and Bioproduction 1
- Genetics 2
- Genetic Associations and Epidemiology 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Jeffrey A. Pleiss (4 shared papers)Yang Li (3 shared papers)Jinlin Miao (1 shared paper)Wei Wei (1 shared paper)Ping Zhu (1 shared paper)Zepeng Mu (1 shared paper)Jonathan P. Staley (2 shared papers)Frederick P. Roth (1 shared paper)
- Journals
- Molecular Cell (1 paper)Nature Methods (1 paper)Genome biology (1 paper)G3 Genes Genomes Genetics (1 paper)Cell (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Benjamin Fair
8 papers receiving 253 citations
Peers
Comparison fields: 5 of 41
- Aging 6
- Molecular Biology 214
- Cancer Research 18
- Cell Biology 18
- Genetics 30
Countries citing papers authored by Benjamin Fair
This map shows the geographic impact of Benjamin Fair'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 Benjamin Fair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Fair more than expected).
Fields of papers citing papers by Benjamin Fair
This network shows the impact of papers produced by Benjamin Fair. 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 Benjamin Fair. The network helps show where Benjamin Fair may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Fair, 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 | 2016 | 76 | |
| 2 | 2021 | 40 | |
| 3 | 2022 | 35 | |
| 4 | 2024 | 30 | |
| 5 | 2020 | 25 | |
| 6 | 2016 | 22 | |
| 7 | 2018 | 14 | |
| 8 | 2016 | 13 |
About Benjamin Fair
Benjamin Fair is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 255 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers), Genetic Associations and Epidemiology (2 papers), Cancer-related molecular mechanisms research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Gene expression and cancer classification (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Aging (6 citations), Molecular Biology (214 citations), Cancer Research (18 citations), Cell Biology (18 citations) and Genetics (30 citations). Benjamin Fair has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Jeffrey A. Pleiss, Yang Li, Jinlin Miao, Wei Wei, Ping Zhu, Zepeng Mu, Jonathan P. Staley, Frederick P. Roth, Robert Fragoza and Minoru Yoshida. Their work appears in journals such as Molecular Cell, Nature Methods, Genome biology, G3 Genes Genomes Genetics and Cell.
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.