Sara E. Beese‐Sims
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
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- Epigenetics and DNA Methylation 4
- DNA Repair Mechanisms 3
- Fungal and yeast genetics research 1
- Ion Transport and Channel Regulation 1
- Mitochondrial Function and Pathology 1
- Ion channel regulation and function 1
- Co-authors
- Mónica P. Colaiácovo (5 shared papers)Yang Shi (2 shared papers)Amanda C. Nottke (1 shared paper)Valerie reinke (1 shared paper)Scott B. Rothbart (1 shared paper)Shuzhen Chen (1 shared paper)Aimee I. Badeaux (1 shared paper)Brian D. Strahl (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Genetics (1 paper)Cell Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)Eukaryotic Cell (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Sara E. Beese‐Sims
6 papers receiving 251 citations
Peers
Comparison fields: 5 of 51
- Aging 115
- Molecular Biology 200
- Endocrine and Autonomic Systems 14
- Pediatrics, Perinatology and Child Health 28
- Neuropsychology and Physiological Psychology 2
Countries citing papers authored by Sara E. Beese‐Sims
This map shows the geographic impact of Sara E. Beese‐Sims'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 Sara E. Beese‐Sims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara E. Beese‐Sims more than expected).
Fields of papers citing papers by Sara E. Beese‐Sims
This network shows the impact of papers produced by Sara E. Beese‐Sims. 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 Sara E. Beese‐Sims. The network helps show where Sara E. Beese‐Sims may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara E. Beese‐Sims, 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 | 141 | |
| 2 | 2011 | 65 | |
| 3 | 2011 | 18 | |
| 4 | 2012 | 12 | |
| 5 | 2018 | 12 | |
| 6 | 2021 | 5 | |
| 7 | 2023 | 0 |
About Sara E. Beese‐Sims
Sara E. Beese‐Sims is a scholar working on Aging, Molecular Biology, Cell Biology, Infectious Diseases and Plant Science, having authored 7 papers that have together received 253 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Epigenetics and DNA Methylation (4 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (1 paper), Fungal and yeast genetics research (1 paper), Ion Transport and Channel Regulation (1 paper), Mitochondrial Function and Pathology (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Aging (115 citations), Molecular Biology (200 citations), Endocrine and Autonomic Systems (14 citations), Pediatrics, Perinatology and Child Health (28 citations) and Neuropsychology and Physiological Psychology (2 citations). Sara E. Beese‐Sims has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mónica P. Colaiácovo, Yang Shi, Amanda C. Nottke, Valerie reinke, Scott B. Rothbart, Shuzhen Chen, Aimee I. Badeaux, Brian D. Strahl, David Aristizábal-Corrales and Eric Lieberman Greer. Their work appears in journals such as PLoS Genetics, Genetics, Cell Reports, Proceedings of the National Academy of Sciences and Eukaryotic 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.