Sonja Nowotschin

3.7k total citations
37 papers, 2.6k citations indexed

About

Sonja Nowotschin is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Sonja Nowotschin has authored 37 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Biophysics. Recurrent topics in Sonja Nowotschin's work include Pluripotent Stem Cells Research (14 papers), Congenital heart defects research (14 papers) and Developmental Biology and Gene Regulation (9 papers). Sonja Nowotschin is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), Congenital heart defects research (14 papers) and Developmental Biology and Gene Regulation (9 papers). Sonja Nowotschin collaborates with scholars based in United States, United Kingdom and Canada. Sonja Nowotschin's co-authors include Anna‐Katerina Hadjantonakis, Bernice E. Morrow, Jun Liao, Alfonso Martínez Arias, Peter Baillie‐Johnson, Tina Balayo, David A. Turner, Susanne van den Brink, Marina Campione and Manuel Viotti and has published in prestigious journals such as Nature, Cell and Genes & Development.

In The Last Decade

Sonja Nowotschin

37 papers receiving 2.5k citations

Peers

Sonja Nowotschin

GENET

SURGE

Andrew McMahon United States

Ankur Saxena United States

Sally Lowell United Kingdom

Daria Onichtchouk Germany

Claire Chazaud France

Salim Abdelilah‐Seyfried Germany

Fredrik Lanner Sweden

Russell B. Fletcher United States

Cecilia W. Lo United States

Daniel M. Ibrahim Germany

Andrew McMahon United States

Sonja Nowotschin

2.4k ×1.2

796 ×2.2

GENET

297 ×0.9

SURGE

241 ×1.0

74 ×0.3

Citations per year, relative to Sonja Nowotschin Sonja Nowotschin (= 1×) peers Andrew McMahon

Countries citing papers authored by Sonja Nowotschin

Since Specialization

Citations

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

Fields of papers citing papers by Sonja Nowotschin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Nowotschin

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Nowotschin. A scholar is included among the top collaborators of Sonja Nowotschin 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 Sonja Nowotschin. Sonja Nowotschin 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

Garg, Vidur, Yang Yang, Sonja Nowotschin, et al.. (2024). Single-cell analysis of bidirectional reprogramming between early embryonic states identify mechanisms of differential lineage plasticities in mice. Developmental Cell. 60(6). 901–917.e12. 1 indexed citations

Nowotschin, Sonja & Anna‐Katerina Hadjantonakis. (2019). Guts and gastrulation: Emergence and convergence of endoderm in the mouse embryo. Current topics in developmental biology. 136. 429–454. 17 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

Nowotschin, Sonja, Vidur Garg, Anna Piliszek, & Anna‐Katerina Hadjantonakis. (2019). Ex Utero Culture and Imaging of Mouse Embryos. Methods in molecular biology. 163–182. 5 indexed citations

Freyer, Laina, Chih‐Wei Hsu, Sonja Nowotschin, et al.. (2017). Loss of Apela Peptide in Mice Causes Low Penetrance Embryonic Lethality and Defects in Early Mesodermal Derivatives. Cell Reports. 20(9). 2116–2130. 51 indexed citations

Costello, Ita, Sonja Nowotschin, Xin Sun, et al.. (2015). Lhx1 functions together with Otx2, Foxa2, and Ldb1 to govern anterior mesendoderm, node, and midline development. Genes & Development. 29(20). 2108–2122. 74 indexed citations

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

Nowotschin, Sonja, Ita Costello, Anna Piliszek, et al.. (2013). The T-box transcription factor Eomesodermin is essential for AVE induction in the mouse embryo. Genes & Development. 27(9). 997–1002. 55 indexed citations

Nowotschin, Sonja & Anna‐Katerina Hadjantonakis. (2013). Live Imaging Mouse Embryonic Development: Seeing Is Believing and Revealing. Methods in molecular biology. 1092. 405–420. 13 indexed citations

10.

Nowotschin, Sonja, et al.. (2012). Interaction of Wnt3a, Msgn1 and Tbx6 in neural versus paraxial mesoderm lineage commitment and paraxial mesoderm differentiation in the mouse embryo. Developmental Biology. 367(1). 1–14. 64 indexed citations

11.

Nowotschin, Sonja & Anna‐Katerina Hadjantonakis. (2010). Cellular dynamics in the early mouse embryo: from axis formation to gastrulation. Current Opinion in Genetics & Development. 20(4). 420–427. 62 indexed citations

12.

Santella, Anthony, Zhuo Du, Sonja Nowotschin, Anna‐Katerina Hadjantonakis, & Zhirong Bao. (2010). A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D. BMC Bioinformatics. 11(1). 580–580. 89 indexed citations

13.

Viotti, Manuel, Sonja Nowotschin, & Anna‐Katerina Hadjantonakis. (2010). Afp::mCherry, a red fluorescent transgenic reporter of the mouse visceral endoderm. genesis. 49(3). 124–133. 23 indexed citations

14.

Nowotschin, Sonja, Anna Ferrer‐Vaquer, & Anna‐Katerina Hadjantonakis. (2010). Imaging Mouse Development with Confocal Time-Lapse Microscopy. Methods in enzymology on CD-ROM/Methods in enzymology. 476. 351–377. 25 indexed citations

15.

Nowotschin, Sonja & Anna‐Katerina Hadjantonakis. (2009). Use of KikGR a photoconvertible green-to-red fluorescent protein for cell labeling and lineage analysis in ES cells and mouse embryos. BMC Developmental Biology. 9(1). 49–49. 97 indexed citations

16.

Nowotschin, Sonja & Anna‐Katerina Hadjantonakis. (2009). Photomodulatable fluorescent proteins for imaging cell dynamics and cell fate. Organogenesis. 5(4). 217–226. 16 indexed citations

17.

Nowotschin, Sonja, Guy S. Eakin, & Anna‐Katerina Hadjantonakis. (2009). Live-imaging fluorescent proteins in mouse embryos: multi-dimensional, multi-spectral perspectives. Trends in biotechnology. 27(5). 266–276. 46 indexed citations

18.

Nowotschin, Sonja, Guy S. Eakin, & Anna‐Katerina Hadjantonakis. (2009). Dual transgene strategy for live visualization of chromatin and plasma membrane dynamics in murine embryonic stem cells and embryonic tissues. genesis. 47(5). 330–336. 29 indexed citations

19.

Liao, Jun, et al.. (2008). Identification of downstream genetic pathways of Tbx1 in the second heart field. Developmental Biology. 316(2). 524–537. 102 indexed citations

20.

Nowotschin, Sonja, Jun Liao, Philip J. Gage, et al.. (2006). Tbx1 affects asymmetric cardiac morphogenesis by regulating Pitx2 in the secondary heart field. Development. 133(8). 1565–1573. 108 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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