Néstor Saiz

1.8k total citations
22 papers, 1.2k citations indexed

About

Néstor Saiz is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Néstor Saiz has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 2 papers in Genetics. Recurrent topics in Néstor Saiz's work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (7 papers) and Renal and related cancers (7 papers). Néstor Saiz is often cited by papers focused on Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (7 papers) and Renal and related cancers (7 papers). Néstor Saiz collaborates with scholars based in United States, United Kingdom and Spain. Néstor Saiz's co-authors include Anna‐Katerina Hadjantonakis, Berenika Płusa, Nadine Schrode, Stefano Di Talia, Joanna B. Grabarek, Kiah M. Williams, Venkatraman Seshan, Vidur Garg, Sonja Nowotschin and Claire Simon and has published in prestigious journals such as Nature, Nature Communications and The EMBO Journal.

In The Last Decade

Néstor Saiz

22 papers receiving 1.2k citations

Peers

Néstor Saiz

PHEOH

SURGE

Kadue Takahashi Japan

Guo Qing Tong Singapore

Ivan Bedzhov Germany

Judith Vivié Netherlands

Judith Reichmann United Kingdom

Leehee Weinberger Israel

Vernadeth B. Alarcón United States

Katsuyoshi Takaoka Japan

Vidur Garg United States

Kadue Takahashi Japan

Néstor Saiz

1.5k ×1.4

237 ×1.0

PHEOH

146 ×1.2

78 ×0.7

104 ×1.0

SURGE

Citations per year, relative to Néstor Saiz Néstor Saiz (= 1×) peers Kadue Takahashi

Countries citing papers authored by Néstor Saiz

Since Specialization

Citations

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

Fields of papers citing papers by Néstor Saiz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Néstor Saiz

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

All Works

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20 of 20 papers shown

Prakash, Rohit, Laina Freyer, Néstor Saiz, et al.. (2021). XRCC3 loss leads to midgestational embryonic lethality in mice. DNA repair. 108. 103227–103227. 6 indexed citations

Saiz, Néstor, et al.. (2020). Growth-factor-mediated coupling between lineage size and cell fate choice underlies robustness of mammalian development. eLife. 9. 63 indexed citations

Saiz, Néstor & Anna‐Katerina Hadjantonakis. (2020). Coordination between patterning and morphogenesis ensures robustness during mouse development. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1809). 20190562–20190562. 8 indexed citations

Nowotschin, Sonja, Manu Setty, Ying-Yi Kuo, et al.. (2019). The emergent landscape of the mouse gut endoderm at single-cell resolution. Nature. 569(7756). 361–367. 238 indexed citations

Saiz, Néstor, Aneta Suwińska, Tomasz Wyszomirski, et al.. (2019). No evidence of involvement of E-cadherin in cell fate specification or the segregation of Epi and PrE in mouse blastocysts. PLoS ONE. 14(2). e0212109–e0212109. 16 indexed citations

Morgani, Sophie M., Néstor Saiz, Vidur Garg, et al.. (2018). A Sprouty4 reporter to monitor FGF/ERK signaling activity in ESCs and mice. Developmental Biology. 441(1). 104–126. 37 indexed citations

Simon, Claire, Lu Zhang, Tao Wu, et al.. (2018). AGata4nuclear GFP transcriptional reporter to study endoderm and cardiac development in the mouse. Biology Open. 7(12). 14 indexed citations

Liu, Yiyuan, Bobbie Pelham‐Webb, Dafne Campigli Di Giammartino, et al.. (2017). Widespread Mitotic Bookmarking by Histone Marks and Transcription Factors in Pluripotent Stem Cells. Cell Reports. 19(7). 1283–1293. 98 indexed citations

Saiz, Néstor, Kiah M. Williams, Venkatraman Seshan, & Anna‐Katerina Hadjantonakis. (2016). Asynchronous fate decisions at the single cell level collectively ensure a consistent lineage composition in the mouse blastocyst. Figshare. 1 indexed citations

10.

Saiz, Néstor, Min‐Jung Kang, Nadine Schrode, Xinghua Lou, & Anna‐Katerina Hadjantonakis. (2016). Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos. Journal of Visualized Experiments. 25 indexed citations

11.

Saiz, Néstor, Kiah M. Williams, Venkatraman Seshan, & Anna‐Katerina Hadjantonakis. (2016). Asynchronous fate decisions by single cells collectively ensure consistent lineage composition in the mouse blastocyst. Nature Communications. 7(1). 13463–13463. 113 indexed citations

12.

Waghray, Avinash, Néstor Saiz, Anitha D. Jayaprakash, et al.. (2015). Tbx3 Controls Dppa3 Levels and Exit from Pluripotency toward Mesoderm. Stem Cell Reports. 5(1). 97–110. 33 indexed citations

13.

Freyer, Laina, Christian Schröter, Néstor Saiz, et al.. (2015). A loss-of-function and H2B-Venus transcriptional reporter allele for Gata6 in mice. BMC Developmental Biology. 15(1). 38–38. 37 indexed citations

14.

Saiz, Néstor, Berenika Płusa, & Anna‐Katerina Hadjantonakis. (2015). Single cells get together: High-resolution approaches to study the dynamics of early mouse development. Seminars in Cell and Developmental Biology. 47-48. 92–100. 12 indexed citations

15.

Saiz, Néstor, Min‐Jung Kang, Alberto Puliafito, et al.. (2015). Quantitative analyses for elucidating mechanisms of cell fate commitment in the mouse blastocyst. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9334. 93340D–93340D. 1 indexed citations

16.

Wen, Duancheng, Néstor Saiz, Zev Rosenwaks, Anna‐Katerina Hadjantonakis, & Shahin Rafii. (2014). Completely ES Cell-Derived Mice Produced by Tetraploid Complementation Using Inner Cell Mass (ICM) Deficient Blastocysts. PLoS ONE. 9(4). e94730–e94730. 21 indexed citations

17.

Schrode, Nadine, Néstor Saiz, Stefano Di Talia, & Anna‐Katerina Hadjantonakis. (2014). GATA6 Levels Modulate Primitive Endoderm Cell Fate Choice and Timing in the Mouse Blastocyst. Developmental Cell. 29(4). 454–467. 167 indexed citations

18.

Herranz, Gonzalo, et al.. (2013). High‐resolution analysis of DNA synthesis start sites and nucleosome architecture at efficient mammalian replication origins. The EMBO Journal. 32(19). 2631–2644. 42 indexed citations

19.

Saiz, Néstor & Berenika Płusa. (2012). Early cell fate decisions in the mouse embryo. Reproduction. 145(3). R65–R80. 77 indexed citations

20.

Grabarek, Joanna B., Néstor Saiz, Anna Piliszek, et al.. (2011). Differential plasticity of epiblast and primitive endoderm precursors within the ICM of the early mouse embryo. Development. 139(1). 129–139. 131 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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