Mina Gouti

3.3k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Mina Gouti is a scholar working on Molecular Biology, Developmental Neuroscience and Biomedical Engineering. According to data from OpenAlex, Mina Gouti has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Mina Gouti's work include Developmental Biology and Gene Regulation (11 papers), Pluripotent Stem Cells Research (10 papers) and 3D Printing in Biomedical Research (4 papers). Mina Gouti is often cited by papers focused on Developmental Biology and Gene Regulation (11 papers), Pluripotent Stem Cells Research (10 papers) and 3D Printing in Biomedical Research (4 papers). Mina Gouti collaborates with scholars based in United Kingdom, Germany and Greece. Mina Gouti's co-authors include James Briscoe, Gary Warnes, Rosalind M. John, Véronique Azuara, Mikhail Spivakov, Helle F. Jørgensen, Stephan Sauer, Miguel Casanova, Amanda G. Fisher and Matthias Merkenschlager and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

Mina Gouti

16 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chromatin signatures of pluripotent cell lines

2006 1.0k citations Véronique Azuara, Stephan Sauer et al. Nature Cell Biology profile →

Peers

Mina Gouti

MB

GENET

SURGE

DN

BE

Ras Trokovic Finland

Michaela Patterson United States

Yoav Mayshar Israel

Yasuko Matsumura Japan

Roger Pedersen United Kingdom

Lars Grotewold Germany

Kehkooi Kee China

Ori Bar‐Nur Switzerland

Jizhong Zou United States

Rachel Eiges Israel

Ras Trokovic Finland

Mina Gouti

2.1k ×1.0

MB

374 ×1.2

GENET

300 ×1.3

SURGE

112 ×0.5

DN

226 ×1.3

BE

Citations per year, relative to Mina Gouti Mina Gouti (= 1×) peers Ras Trokovic

Countries citing papers authored by Mina Gouti

Since Specialization

Citations

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

Fields of papers citing papers by Mina Gouti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Gouti

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Gouti, Mina, et al.. (2024). A new era in neuromuscular junction research: current advances in self-organized and assembled in vitro models. Current Opinion in Genetics & Development. 87. 102229–102229.

2.

Lahmann, Ines, Benjamin R. Rost, Angélica García-Pérez, et al.. (2023). Efficient generation of a self-organizing neuromuscular junction model from human pluripotent stem cells. Nature Communications. 14(1). 8043–8043. 15 indexed citations

3.

Blassberg, Robert, Harshil Patel, Thomas Watson, et al.. (2022). Sox2 levels regulate the chromatin occupancy of WNT mediators in epiblast progenitors responsible for vertebrate body formation. Nature Cell Biology. 24(5). 633–644. 44 indexed citations

4.

Huch, Meritxell & Mina Gouti. (2022). Once upon a dish: the next frontier in engineering multicellular systems. Development. 149(20). 1 indexed citations

5.

Gouti, Mina, et al.. (2021). Humane neuromuskuläre Organoide — Anwendung und Perspektive. BIOspektrum. 27(2). 135–138.

6.

Fischer, Cornelius, Ramón Vidal, Séverine Kunz, et al.. (2020). Self-Organizing 3D Human Trunk Neuromuscular Organoids. Cell stem cell. 26(2). 172–186.e6. 226 indexed citations

7.

Metzis, Vicki, Mina Gouti, Despina Stamataki, et al.. (2018). Nervous System Regionalization Entails Axial Allocation before Neural Differentiation. Cell. 175(4). 1105–1118.e17. 108 indexed citations

8.

Pusapati, Ganesh V., Jennifer H. Kong, Bhaven B. Patel, et al.. (2018). G protein–coupled receptors control the sensitivity of cells to the morphogen Sonic Hedgehog. Science Signaling. 11(516). 49 indexed citations

9.

Frith, Thomas J.R., Ilaria Granata, Oliver Thompson, et al.. (2018). Human axial progenitors generate trunk neural crest cells in vitro. eLife. 7. 68 indexed citations

10.

Gouti, Mina, Julien Delile, Despina Stamataki, et al.. (2017). A Gene Regulatory Network Balances Neural and Mesoderm Specification during Vertebrate Trunk Development. Developmental Cell. 41(3). 243–261.e7. 159 indexed citations

11.

Kutějová, Eva, et al.. (2016). Neural Progenitors Adopt Specific Identities by Directly Repressing All Alternative Progenitor Transcriptional Programs. Developmental Cell. 36(6). 639–653. 62 indexed citations

12.

Gouti, Mina, Vicki Metzis, & James Briscoe. (2015). The route to spinal cord cell types: a tale of signals and switches. Trends in Genetics. 31(6). 282–289. 74 indexed citations

13.

Gouti, Mina, Anestis Tsakiridis, Filip J. Wymeersch, et al.. (2014). In Vitro Generation of Neuromesodermal Progenitors Reveals Distinct Roles for Wnt Signalling in the Specification of Spinal Cord and Paraxial Mesoderm Identity. PLoS Biology. 12(8). e1001937–e1001937. 264 indexed citations

14.

Episkopou, Vasso, et al.. (2011). Directed Neural Differentiation of Mouse Embryonic Stem Cells Is a Sensitive System for the Identification of Novel Hox Gene Effectors. PLoS ONE. 6(5). e20197–e20197. 16 indexed citations

15.

Gouti, Mina, James Briscoe, & Anthony Gavalas. (2011). Anterior Hox Genes Interact with Components of the Neural Crest Specification Network to Induce Neural Crest Fates. Stem Cells. 29(5). 858–870. 24 indexed citations

16.

Gouti, Mina & Anthony Gavalas. (2008). Hoxb1 Controls Cell Fate Specification and Proliferative Capacity of Neural Stem and Progenitor Cells. Stem Cells. 26(8). 1985–1997. 36 indexed citations

17.

Serafimidis, Ioannis, Irini Rakatzi, Vasso Episkopou, Mina Gouti, & Anthony Gavalas. (2007). Novel Effectors of Directed and Ngn3-Mediated Differentiation of Mouse Embryonic Stem Cells into Endocrine Pancreas Progenitors. Stem Cells. 26(1). 3–16. 49 indexed citations

18.

Azuara, Véronique, Stephan Sauer, Mikhail Spivakov, et al.. (2006). Chromatin signatures of pluripotent cell lines. Nature Cell Biology. 8(5). 532–538. 1029 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.

Explore authors with similar magnitude of impact