Sarah E Siegrist
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
Papers in
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- Developmental Biology and Gene Regulation 10
- Wnt/β-catenin signaling in development and cancer 3
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- Neurobiology and Insect Physiology Research 9
- Co-authors
- Chris Q. Doe (5 shared papers)Cheng‐Yu Lee (2 shared papers)Robin P. Wharton (1 shared paper)Bruce A. Hay (1 shared paper)Chun‐Hong Chen (1 shared paper)Iswar K. Hariharan (1 shared paper)Mary C. Beckerle (2 shared papers)Beth Stronach (2 shared papers)
- Journals
- Development (3 papers)eLife (3 papers)Current Biology (2 papers)Developmental Cell (2 papers)Genes & Development (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Sarah E Siegrist
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Aging 101
- Cell Biology 551
- Developmental Neuroscience 74
- Cellular and Molecular Neuroscience 324
- Molecular Biology 832
Countries citing papers authored by Sarah E Siegrist
This map shows the geographic impact of Sarah E Siegrist'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 Siegrist 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 Siegrist more than expected).
Fields of papers citing papers by Sarah E Siegrist
This network shows the impact of papers produced by Sarah E Siegrist. 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 Siegrist. The network helps show where Sarah E Siegrist may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E Siegrist, 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 | 2006 | 249 | |
| 2 | 2005 | 206 | |
| 3 | 2007 | 189 | |
| 4 | 2010 | 142 | |
| 5 | 2006 | 97 | |
| 6 | 1996 | 68 | |
| 7 | 2019 | 41 | |
| 8 | 2017 | 28 | |
| 9 | 2020 | 21 | |
| 10 | 2022 | 15 | |
| 11 | 2003 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2022 | 11 | |
| 15 | 2020 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Sarah E Siegrist
Sarah E Siegrist is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Immunology and Aging, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (10 papers), Neurobiology and Insect Physiology Research (9 papers), Invertebrate Immune Response Mechanisms (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cellular Mechanics and Interactions (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Microtubule and mitosis dynamics (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Aging (101 citations), Cell Biology (551 citations), Developmental Neuroscience (74 citations), Cellular and Molecular Neuroscience (324 citations) and Molecular Biology (832 citations). Sarah E Siegrist has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Chris Q. Doe, Cheng‐Yu Lee, Robin P. Wharton, Bruce A. Hay, Chun‐Hong Chen, Iswar K. Hariharan, Mary C. Beckerle, Beth Stronach, Susan E. Doyle and Matthew C. Pahl. Their work appears in journals such as Development, eLife, Current Biology, Developmental Cell and Genes & Development.
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.