Isabelle S. Peter

2.3k total citations
29 papers, 1.6k citations indexed

About

Isabelle S. Peter is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Isabelle S. Peter has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Oncology. Recurrent topics in Isabelle S. Peter's work include Developmental Biology and Gene Regulation (13 papers), Genomics and Chromatin Dynamics (12 papers) and Virus-based gene therapy research (5 papers). Isabelle S. Peter is often cited by papers focused on Developmental Biology and Gene Regulation (13 papers), Genomics and Chromatin Dynamics (12 papers) and Virus-based gene therapy research (5 papers). Isabelle S. Peter collaborates with scholars based in United States, Switzerland and Canada. Isabelle S. Peter's co-authors include Eric H. Davidson, Silvio Hemmi, Reinhard Dummer, Anna Mezzacasa, Emmanuel Faure, Ralf Geertsen, Miao Cui, Enhu Li, Urs F. Greber and Natnaree Siriwon and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Isabelle S. Peter

29 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle S. Peter United States 18 1.2k 530 226 175 145 29 1.6k
Mamiko Yajima United States 19 651 0.5× 149 0.3× 191 0.8× 259 1.5× 183 1.3× 45 1.2k
Robert M. Freeman United States 15 1.9k 1.6× 194 0.4× 230 1.0× 107 0.6× 329 2.3× 16 2.4k
Lydia Besnardeau France 21 1.2k 1.0× 223 0.4× 43 0.2× 378 2.2× 325 2.2× 33 1.9k
Fabio Iannelli Italy 20 1.3k 1.0× 273 0.5× 194 0.9× 27 0.2× 186 1.3× 35 1.8k
Julia Chifman United States 11 730 0.6× 802 1.5× 143 0.6× 53 0.3× 145 1.0× 20 1.6k
Lisa Kann United States 14 694 0.6× 662 1.2× 225 1.0× 24 0.1× 102 0.7× 29 1.7k
Christine Henzler United States 22 838 0.7× 288 0.5× 204 0.9× 20 0.1× 166 1.1× 41 1.7k
Celina E. Juliano United States 22 1.4k 1.2× 258 0.5× 35 0.2× 178 1.0× 439 3.0× 38 2.0k
William H. Kinsey United States 30 987 0.8× 269 0.5× 38 0.2× 155 0.9× 42 0.3× 71 2.1k
Michiyasu Yoshikuni Japan 26 506 0.4× 1.0k 1.9× 62 0.3× 675 3.9× 81 0.6× 70 2.3k

Countries citing papers authored by Isabelle S. Peter

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle S. Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabelle S. Peter. 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 Isabelle S. Peter. The network helps show where Isabelle S. Peter may publish in the future.

Co-authorship network of co-authors of Isabelle S. Peter

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

All Works

20 of 20 papers shown
1.
Peter, Isabelle S., et al.. (2024). Combinatorial regulatory states define cell fate diversity during embryogenesis. Nature Communications. 15(1). 6841–6841. 2 indexed citations
2.
Feuda, Roberto, et al.. (2021). Ciliary photoreceptors in sea urchin larvae indicate pan-deuterostome cell type conservation. BMC Biology. 19(1). 257–257. 11 indexed citations
3.
Istrail, Sorin & Isabelle S. Peter. (2019). How Does the Regulatory Genome Work?. Journal of Computational Biology. 26(7). 685–695. 4 indexed citations
4.
5.
Peter, Isabelle S.. (2017). Regulatory states in the developmental control of gene expression. Briefings in Functional Genomics. 16(5). 281–287. 16 indexed citations
6.
Peter, Isabelle S. & Eric H. Davidson. (2016). Implications of Developmental Gene Regulatory Networks Inside and Outside Developmental Biology. Current topics in developmental biology. 117. 237–251. 30 indexed citations
7.
Cui, Miao, Natnaree Siriwon, Enhu Li, Eric H. Davidson, & Isabelle S. Peter. (2014). Specific functions of the Wnt signaling system in gene regulatory networks throughout the early sea urchin embryo. Proceedings of the National Academy of Sciences. 111(47). E5029–38. 63 indexed citations
8.
Faure, Emmanuel, Isabelle S. Peter, & Eric H. Davidson. (2013). A New Software Package for Predictive Gene Regulatory Network Modeling and Redesign. Journal of Computational Biology. 20(6). 419–423. 4 indexed citations
9.
Royo, José Luís, Ignacio Maeso, Manuel Irimia, et al.. (2011). Transphyletic conservation of developmental regulatory state in animal evolution. Proceedings of the National Academy of Sciences. 108(34). 14186–14191. 73 indexed citations
10.
Peter, Isabelle S. & Eric H. Davidson. (2011). Evolution of Gene Regulatory Networks Controlling Body Plan Development. Cell. 144(6). 970–985. 280 indexed citations
11.
Peter, Isabelle S. & Eric H. Davidson. (2011). A gene regulatory network controlling the embryonic specification of endoderm. Nature. 474(7353). 635–639. 174 indexed citations
12.
Peter, Isabelle S. & Eric H. Davidson. (2010). Genomic programs for endoderm specification in sea urchin embryos. Developmental Biology. 344(1). 469–469. 2 indexed citations
13.
Peter, Isabelle S. & Eric H. Davidson. (2009). The endoderm gene regulatory network in sea urchin embryos up to mid-blastula stage. Developmental Biology. 340(2). 188–199. 120 indexed citations
14.
Peter, Isabelle S. & Eric H. Davidson. (2009). Genomic control of patterning. The International Journal of Developmental Biology. 53(5-6). 707–716. 23 indexed citations
15.
Peter, Isabelle S. & Eric H. Davidson. (2009). Modularity and design principles in the sea urchin embryo gene regulatory network. FEBS Letters. 583(24). 3948–3958. 65 indexed citations
16.
Schmitz, Maike, Dominique Sirena, Isabelle S. Peter, et al.. (2006). Melanoma cultures show different susceptibility towards E1A-, E1B-19 kDa- and fiber-modified replication-competent adenoviruses. Gene Therapy. 13(11). 893–905. 15 indexed citations
17.
Peter, Isabelle S., et al.. (2003). A novel attenuated replication-competent adenovirus for melanoma therapy. Gene Therapy. 10(7). 530–539. 23 indexed citations
18.
Peter, Isabelle S., Michael Nawrath, Jivko Kamarashev, et al.. (2002). Immunotherapy for murine K1735 melanoma: Combinatorial use of recombinant adenovirus expressing CD40L and other immunomodulators. Cancer Gene Therapy. 9(7). 597–605. 17 indexed citations
19.
Peter, Isabelle S., et al.. (2001). Comparative analysis of immunocritical melanoma markers in the mouse melanoma cell lines B16, K1735 and S91-M3. Melanoma Research. 11(1). 21–30. 31 indexed citations
20.
Hemmi, Silvio, Ralf Geertsen, Anna Mezzacasa, Isabelle S. Peter, & Reinhard Dummer. (1998). The Presence of Human Coxsackievirus and Adenovirus Receptor Is Associated with Efficient Adenovirus-Mediated Transgene Expression in Human Melanoma Cell Cultures. Human Gene Therapy. 9(16). 2363–2373. 198 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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