Sara E. Beese‐Sims
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
Papers in
-
- Epigenetics and DNA Methylation 4
- DNA Repair Mechanisms 3
- Fungal and yeast genetics research 2
- Microbial Metabolic Engineering and Bioproduction 1
- Ion channel regulation and function 1
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Mónica P. Colaiácovo (5 shared papers)Yang Shi (2 shared papers)David E. Levin (3 shared papers)Gustav Ammerer (1 shared paper)V Reinke (1 shared paper)Ilse Dohnal (1 shared paper)Wolfgang Reiter (1 shared paper)Karl Kuchler (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Genes & Development (1 paper)Eukaryotic Cell (1 paper)Yeast (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Sara E. Beese‐Sims
7 papers receiving 323 citations
Peers
Comparison fields: 5 of 56
- Aging 116
- Molecular Biology 273
- Cell Biology 37
- Endocrine and Autonomic Systems 14
- Neuropsychology and Physiological Psychology 3
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 | 129 | |
| 2 | 2013 | 85 | |
| 3 | 2011 | 63 | |
| 4 | 2011 | 17 | |
| 5 | 2012 | 13 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 0 |
About Sara E. Beese‐Sims
Sara E. Beese‐Sims is a scholar working on Molecular Biology, Aging, Cell Biology, Infectious Diseases and Plant Science, having authored 8 papers that have together received 324 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), DNA Repair Mechanisms (3 papers), Fungal and yeast genetics research (2 papers), Microtubule and mitosis dynamics (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Aging (116 citations), Molecular Biology (273 citations), Cell Biology (37 citations), Endocrine and Autonomic Systems (14 citations) and Neuropsychology and Physiological Psychology (3 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, David E. Levin, Gustav Ammerer, V Reinke, Ilse Dohnal, Wolfgang Reiter, Karl Kuchler, Christa Gregori and Amanda C. Nottke. Their work appears in journals such as PLoS Genetics, Genes & Development, Eukaryotic Cell, Yeast and Proceedings of the National Academy of Sciences.
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.