Sarah Withey

1.1k total citations
10 papers, 481 citations indexed

About

Sarah Withey is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Sarah Withey has authored 10 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in Sarah Withey's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). Sarah Withey is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). Sarah Withey collaborates with scholars based in United Kingdom, Australia and Spain. Sarah Withey's co-authors include Ramiro Alberio, M. Azim Surani, Doris Klisch, Walfred W. C. Tang, Sabine Dietmann, R. Webb, Toshihiro Kobayashi, Anastasiya Sybirna, Naoko Irie and David Alejandro Contreras Caro del Castillo and has published in prestigious journals such as Nature, Nature Communications and Journal of Colloid and Interface Science.

In The Last Decade

Sarah Withey

10 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah Withey United Kingdom 8 407 125 103 86 33 10 481
Jeoung Eun Lee South Korea 12 337 0.8× 47 0.4× 131 1.3× 64 0.7× 28 0.8× 24 412
Daniel A. Schmitz United States 4 438 1.1× 50 0.4× 88 0.9× 64 0.7× 27 0.8× 7 508
Tristan Frum United States 12 596 1.5× 73 0.6× 170 1.7× 69 0.8× 11 0.3× 20 698
Smita Sudheer Germany 8 364 0.9× 107 0.9× 140 1.4× 36 0.4× 34 1.0× 12 462
Christoph Hansis United States 9 432 1.1× 106 0.8× 160 1.6× 70 0.8× 29 0.9× 14 507
Wanhua Xie China 15 403 1.0× 98 0.8× 93 0.9× 28 0.3× 21 0.6× 23 495
Feikun Yang United States 13 381 0.9× 94 0.8× 129 1.3× 27 0.3× 33 1.0× 26 487
Chuen Yan Leung United Kingdom 10 551 1.4× 63 0.5× 157 1.5× 60 0.7× 20 0.6× 11 677
Bérangère Legois France 9 217 0.5× 138 1.1× 113 1.1× 33 0.4× 157 4.8× 12 359
Harunobu Kagawa Austria 9 392 1.0× 41 0.3× 85 0.8× 42 0.5× 35 1.1× 12 495

Countries citing papers authored by Sarah Withey

Since Specialization
Citations

This map shows the geographic impact of Sarah Withey'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 Withey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Withey more than expected).

Fields of papers citing papers by Sarah Withey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Withey. 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 Withey. The network helps show where Sarah Withey may publish in the future.

Co-authorship network of co-authors of Sarah Withey

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Withey. A scholar is included among the top collaborators of Sarah Withey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Withey. Sarah Withey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Osteil, Pierre, Sarah Withey, Nicole Santucci, et al.. (2025). MIXL1 activation in endoderm differentiation of human induced pluripotent stem cells. Stem Cell Reports. 20(5). 102482–102482. 1 indexed citations
2.
Sang, Fei, Sarah Withey, Walfred W. C. Tang, et al.. (2021). Specification and epigenomic resetting of the pig germline exhibit conservation with the human lineage. Cell Reports. 34(6). 108735–108735. 36 indexed citations
3.
White, Alison L., Sarah Withey, Simon Biggs, et al.. (2021). Deposition of non-porous calcium phosphate shells onto liquid filled microcapsules. Journal of Colloid and Interface Science. 609. 575–583. 6 indexed citations
4.
Yeo, Abrey J., Kok Leong Chong, Magtouf Gatei, et al.. (2020). Impaired endoplasmic reticulum-mitochondrial signaling in ataxia-telangiectasia. iScience. 24(1). 101972–101972. 22 indexed citations
5.
Gerrard, Dave T., Andrew Berry, Rachel Jennings, et al.. (2020). Dynamic changes in the epigenomic landscape regulate human organogenesis and link to developmental disorders. Nature Communications. 11(1). 3920–3920. 15 indexed citations
6.
Ovchinnikov, Dmitry A., Sarah Withey, Hannah C. Leeson, et al.. (2020). Correction of ATM mutations in iPS cells from two ataxia-telangiectasia patients restores DNA damage and oxidative stress responses. Human Molecular Genetics. 29(6). 990–1001. 14 indexed citations
8.
Ramos‐Ibeas, Priscila, Fei Sang, Walfred W. C. Tang, et al.. (2019). Pluripotency and X chromosome dynamics revealed in pig pre-gastrulating embryos by single cell analysis. Nature Communications. 10(1). 500–500. 87 indexed citations
9.
Jennings, Rachel, Andrew Berry, Dave T. Gerrard, et al.. (2017). Laser Capture and Deep Sequencing Reveals the Transcriptomic Programmes Regulating the Onset of Pancreas and Liver Differentiation in Human Embryos. Stem Cell Reports. 9(5). 1387–1394. 33 indexed citations
10.
Kobayashi, Toshihiro, Walfred W. C. Tang, Naoko Irie, et al.. (2017). Principles of early human development and germ cell program from conserved model systems. Nature. 546(7658). 416–420. 234 indexed citations

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.

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