Brian E Snydsman
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
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- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Photosynthetic Processes and Mechanisms
- Ubiquitin and proteasome pathways
Papers in
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- Microtubule and mitosis dynamics 4
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- Fungal and yeast genetics research 5
- Photosynthetic Processes and Mechanisms 1
- Microbial Metabolic Engineering and Bioproduction 1
- DNA Repair Mechanisms 1
- Co-authors
- Eric G. Muller (7 shared papers)Trisha Nell Davis (5 shared papers)John R. Yates (2 shared papers)William Hayes McDonald (2 shared papers)Stanley Fields (2 shared papers)Beth Graczyk (1 shared paper)David Baker (1 shared paper)Phillip Bradley (1 shared paper)
- Journals
- Molecular Biology of the Cell (4 papers)The EMBO Journal (1 paper)Molecular Cell (1 paper)G3 Genes Genomes Genetics (1 paper)PubMed (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Brian E Snydsman
8 papers receiving 582 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 242
- Molecular Biology 522
- Biophysics 29
- Structural Biology 6
- Ophthalmology 20
Countries citing papers authored by Brian E Snydsman
This map shows the geographic impact of Brian E Snydsman'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 Brian E Snydsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E Snydsman more than expected).
Fields of papers citing papers by Brian E Snydsman
This network shows the impact of papers produced by Brian E Snydsman. 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 Brian E Snydsman. The network helps show where Brian E Snydsman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E Snydsman, 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 | 2003 | 228 | |
| 2 | 2005 | 105 | |
| 3 | 2007 | 74 | |
| 4 | 2003 | 53 | |
| 5 | 2006 | 48 | |
| 6 | 2017 | 33 | |
| 7 | 2012 | 25 | |
| 8 | 2010 | 21 |
About Brian E Snydsman
Brian E Snydsman is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Oncology and Genetics, having authored 8 papers that have together received 587 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Microtubule and mitosis dynamics (4 papers), Biofuel production and bioconversion (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), DNA Repair Mechanisms (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Cell Biology (242 citations), Molecular Biology (522 citations), Biophysics (29 citations), Structural Biology (6 citations) and Ophthalmology (20 citations). Brian E Snydsman has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Eric G. Muller, Trisha Nell Davis, John R. Yates, William Hayes McDonald, Stanley Fields, Beth Graczyk, David Baker, Phillip Bradley, Scott Anderson and Lars Malmström. Their work appears in journals such as Molecular Biology of the Cell, The EMBO Journal, Molecular Cell, G3 Genes Genomes Genetics and PubMed.
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.