Sarah E. Smith
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Genomics and Chromatin Dynamics 6
- Nuclear Structure and Function 6
- RNA Research and Splicing 5
- Cell Biology 10
- Microtubule and mitosis dynamics 6
- Co-authors
- Brian D. Slaughter (10 shared papers)J. M. Tisdall (1 shared paper)Pichu Rengasamy (1 shared paper)Jay R. Unruh (13 shared papers)Rong Li (1 shared paper)Sue L. Jaspersen (8 shared papers)Rong Li (3 shared papers)Eihachiro Kawase (1 shared paper)
- Journals
- Blood (4 papers)Scientific Reports (4 papers)The Journal of Cell Biology (3 papers)eLife (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sarah E. Smith
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Cell Biology 376
- Aging 30
- Molecular Biology 847
- Genetics 110
- Reproductive Medicine 79
Countries citing papers authored by Sarah E. Smith
This map shows the geographic impact of Sarah E. Smith'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 Sarah E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Smith more than expected).
Fields of papers citing papers by Sarah E. Smith
This network shows the impact of papers produced by Sarah E. Smith. 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 Sarah E. Smith. The network helps show where Sarah E. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 169 | |
| 2 | 2008 | 155 | |
| 3 | 2009 | 131 | |
| 4 | 2017 | 123 | |
| 5 | 2003 | 116 | |
| 6 | 2019 | 111 | |
| 7 | 2008 | 74 | |
| 8 | 2016 | 69 | |
| 9 | 2013 | 61 | |
| 10 | 2017 | 59 | |
| 11 | 2008 | 56 | |
| 12 | 2011 | 53 | |
| 13 | 2015 | 52 | |
| 14 | 2013 | 49 | |
| 15 | 2016 | 49 | |
| 16 | 2021 | 42 | |
| 17 | 2008 | 41 | |
| 18 | 2017 | 37 | |
| 19 | 2020 | 33 | |
| 20 | 2008 | 32 |
About Sarah E. Smith
Sarah E. Smith is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Genetics, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (7 papers), Microtubule and mitosis dynamics (6 papers), Sperm and Testicular Function (6 papers), Tuberculosis Research and Epidemiology (6 papers), Genomics and Chromatin Dynamics (6 papers), Nuclear Structure and Function (6 papers), RNA Research and Splicing (5 papers) and Prenatal Screening and Diagnostics (5 papers). The work is most often cited by research in Cell Biology (376 citations), Aging (30 citations), Molecular Biology (847 citations), Genetics (110 citations) and Reproductive Medicine (79 citations). Sarah E. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Brian D. Slaughter, J. M. Tisdall, Pichu Rengasamy, Jay R. Unruh, Rong Li, Sue L. Jaspersen, Rong Li, Eihachiro Kawase, Ting Xie and Joel Schwartz. Their work appears in journals such as Blood, Scientific Reports, The Journal of Cell Biology, eLife and PLoS ONE.
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.