Beth A. Sullivan
- Plant Science top 0.5%
- Chromosomal and Genetic Variations 43
- Cell Biology top 1%
- Microtubule and mitosis dynamics 8
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 31
- RNA and protein synthesis mechanisms 9
- Advanced biosensing and bioanalysis techniques 5
- DNA and Nucleic Acid Chemistry 4
- CRISPR and Genetic Engineering 4
- Genetics top 2%
- Genomic variations and chromosomal abnormalities 20
- Aging top 10%
- Co-authors
- Gary H. KarpenMichael D. BlowerStuart SchwartzLori L. SullivanShannon McNultyMary G. SchuelerJonathan M.G. HigginsJun Dai
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Beth A. Sullivan
50 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 93
- Plant Science 2.9k
- Cell Biology 904
- Molecular Biology 3.5k
- Genetics 889
- Aging 20
Countries citing papers authored by Beth A. Sullivan
This map shows the geographic impact of Beth A. Sullivan'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 Beth A. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth A. Sullivan more than expected).
Fields of papers citing papers by Beth A. Sullivan
This network shows the impact of papers produced by Beth A. Sullivan. 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 Beth A. Sullivan. The network helps show where Beth A. Sullivan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beth A. Sullivan, 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 | 2026 | 0 | |
| 2 | 2018 | 85 | |
| 3 | 2017 | 47 | |
| 4 | 2017 | 134 | |
| 5 | 2017 | 5 | |
| 6 | 2016 | 71 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 12 | |
| 9 | 2012 | 78 | |
| 10 | 2010 | 53 | |
| 11 | 2009 | 60 | |
| 12 | 2009 | 58 | |
| 13 | 2006 | 115 | |
| 14 | 2005 | 23 | |
| 15 | 2001 | 229 | |
| 16 | 2000 | 3 | |
| 17 | 1996 | 18 | |
| 18 | Evidence for structural heterogeneity from molecular cytogenetic analysis of dicentric Robertsonian translocations. | 1996 | 51 |
| 19 | 1995 | 189 | |
| 20 | 1994 | 24 |
About Beth A. Sullivan
Beth A. Sullivan is a scholar working on Plant Science, Genetics, Molecular Biology, Cell Biology and Hematology, having authored 52 papers that have together received 4.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (43 papers), Genomics and Chromatin Dynamics (31 papers), Genomic variations and chromosomal abnormalities (20 papers), RNA and protein synthesis mechanisms (9 papers), Microtubule and mitosis dynamics (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Plant Science (2.9k citations), Cell Biology (904 citations), Molecular Biology (3.5k citations), Genetics (889 citations) and Aging (20 citations). Beth A. Sullivan has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Gary H. Karpen, Michael D. Blower, Stuart Schwartz, Lori L. Sullivan, Shannon McNulty, Mary G. Schueler, Jonathan M.G. Higgins, Jun Dai, Kristin C. Scott and Gail Stetten. Their work appears in journals such as Chromosoma, Chromosome Research, Human Molecular Genetics, Developmental Cell and Nature Reviews 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.