Daisy A. Robinton

2.8k total citations · 2 hit papers
9 papers, 2.0k citations indexed

About

Daisy A. Robinton is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Daisy A. Robinton has authored 9 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Neurology. Recurrent topics in Daisy A. Robinton's work include Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Renal and related cancers (2 papers). Daisy A. Robinton is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Renal and related cancers (2 papers). Daisy A. Robinton collaborates with scholars based in United States, Australia and Argentina. Daisy A. Robinton's co-authors include George Q. Daley, Beth Stevens, Timothy R. Hammond, Benjamin A. Schwarz, Sue Mei Lim, Endre Anderssen, Matthias Stadtfeld, Sihem Cheloufi, María E. Figueroa and Sridaran Natesan and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Daisy A. Robinton

9 papers receiving 2.0k citations

Hit Papers

The promise of induced pluripotent stem cells in research... 2012 2026 2016 2021 2012 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisy A. Robinton United States 8 1.6k 289 235 213 162 9 2.0k
Barbara S. Mallon United States 23 1.3k 0.8× 398 1.4× 279 1.2× 252 1.2× 194 1.2× 38 2.3k
Yoav Mayshar Israel 15 1.6k 1.1× 212 0.7× 280 1.2× 392 1.8× 229 1.4× 23 2.3k
Stéphane C. Boutet United States 18 1.3k 0.8× 104 0.4× 162 0.7× 302 1.4× 113 0.7× 28 1.9k
Joshua A. Bagley United States 12 1.1k 0.7× 597 2.1× 187 0.8× 114 0.5× 105 0.6× 16 1.8k
Jennifer C. Moore United States 28 1.7k 1.1× 265 0.9× 264 1.1× 73 0.3× 207 1.3× 46 2.4k
Andrew S. Lee United States 21 1.8k 1.2× 462 1.6× 529 2.3× 82 0.4× 257 1.6× 28 2.5k
Tammy L. McGuire United States 25 922 0.6× 179 0.6× 164 0.7× 186 0.9× 277 1.7× 39 2.0k
Alexandra Capela United States 12 1.4k 0.9× 183 0.6× 100 0.4× 168 0.8× 159 1.0× 17 2.1k
Zhengliang Gao China 15 1.1k 0.7× 111 0.4× 117 0.5× 105 0.5× 176 1.1× 46 1.7k
Roland H. Friedel United States 34 1.5k 1.0× 239 0.8× 118 0.5× 256 1.2× 206 1.3× 61 2.9k

Countries citing papers authored by Daisy A. Robinton

Since Specialization
Citations

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

Fields of papers citing papers by Daisy A. Robinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisy A. Robinton. 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 Daisy A. Robinton. The network helps show where Daisy A. Robinton may publish in the future.

Co-authorship network of co-authors of Daisy A. Robinton

This figure shows the co-authorship network connecting the top 25 collaborators of Daisy A. Robinton. A scholar is included among the top collaborators of Daisy A. Robinton 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 Daisy A. Robinton. Daisy A. Robinton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Furman, David, Johan Auwerx, Anne‐Laure Bulteau, et al.. (2025). Skin health and biological aging. Nature Aging. 5(7). 1195–1206. 10 indexed citations
2.
Yermalovich, Alena, Jihan K. Osborne, Patricia Sousa, et al.. (2020). Author Correction: Lin28 and let-7 regulate the timing of cessation of murine nephrogenesis. Nature Communications. 11(1). 1327–1327. 2 indexed citations
3.
Yermalovich, Alena, Jihan K. Osborne, Patricia Sousa, et al.. (2019). Lin28 and let-7 regulate the timing of cessation of murine nephrogenesis. Nature Communications. 10(1). 168–168. 41 indexed citations
4.
Robinton, Daisy A., Jérome Chal, Edroaldo Lummertz da Rocha, et al.. (2019). The Lin28/let-7 Pathway Regulates the Mammalian Caudal Body Axis Elongation Program. Developmental Cell. 48(3). 396–405.e3. 44 indexed citations
5.
Yan, Qin, Brian S. Garrison, Wenjiang Ma, et al.. (2018). A Milieu Molecule for TGF-β Required for Microglia Function in the Nervous System. Cell. 174(1). 156–171.e16. 129 indexed citations
6.
Hammond, Timothy R., Daisy A. Robinton, & Beth Stevens. (2018). Microglia and the Brain: Complementary Partners in Development and Disease. Annual Review of Cell and Developmental Biology. 34(1). 523–544. 201 indexed citations
7.
Nguyen, Liem H., Daisy A. Robinton, Marc T. Seligson, et al.. (2014). Lin28b Is Sufficient to Drive Liver Cancer and Necessary for Its Maintenance in Murine Models. Cancer Cell. 26(2). 248–261. 157 indexed citations
8.
Polo, José M., Endre Anderssen, Ryan Walsh, et al.. (2012). A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells. Cell. 151(7). 1617–1632. 626 indexed citations breakdown →
9.
Robinton, Daisy A. & George Q. Daley. (2012). The promise of induced pluripotent stem cells in research and therapy. Nature. 481(7381). 295–305. 792 indexed citations breakdown →

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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