Edgar M. Pera

2.6k total citations
28 papers, 2.0k citations indexed

About

Edgar M. Pera is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Edgar M. Pera has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Edgar M. Pera's work include Developmental Biology and Gene Regulation (17 papers), Congenital heart defects research (7 papers) and Proteoglycans and glycosaminoglycans research (7 papers). Edgar M. Pera is often cited by papers focused on Developmental Biology and Gene Regulation (17 papers), Congenital heart defects research (7 papers) and Proteoglycans and glycosaminoglycans research (7 papers). Edgar M. Pera collaborates with scholars based in Sweden, United States and Germany. Edgar M. Pera's co-authors include Edward M. De Robertis, Michael Kessel, Edward Eivers, Atsushi Ikeda, Oliver Wessely, Luis C. Fuentealba, Cecilia Hurtado, Hiroki Kuroda, Stefan Stein and Ina Strate and has published in prestigious journals such as Cell, Genes & Development and PLoS ONE.

In The Last Decade

Edgar M. Pera

28 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edgar M. Pera Sweden 17 1.8k 379 312 190 129 28 2.0k
Ken W. Y. Cho United States 24 2.1k 1.2× 382 1.0× 314 1.0× 172 0.9× 45 0.3× 27 2.3k
Hiroki Kuroda Japan 13 1.6k 0.9× 178 0.5× 260 0.8× 161 0.8× 78 0.6× 21 1.7k
Chika Yokota Japan 22 1.7k 1.0× 287 0.8× 260 0.8× 223 1.2× 128 1.0× 39 2.0k
Daria Onichtchouk Germany 20 2.3k 1.3× 388 1.0× 302 1.0× 124 0.7× 61 0.5× 32 2.7k
Esther Bell United States 19 1.2k 0.7× 293 0.8× 146 0.5× 186 1.0× 114 0.9× 27 1.5k
Nadine Fischer Germany 22 1.3k 0.8× 220 0.6× 446 1.4× 205 1.1× 169 1.3× 52 1.8k
Mary Elizabeth Pownall United Kingdom 21 2.1k 1.2× 441 1.2× 450 1.4× 115 0.6× 58 0.4× 46 2.4k
Sahar Nissim United States 15 1.4k 0.8× 295 0.8× 217 0.7× 130 0.7× 146 1.1× 20 2.1k
Sung‐Hyun Kim South Korea 15 2.1k 1.2× 313 0.8× 350 1.1× 254 1.3× 59 0.5× 38 2.3k
Kristin Artinger United States 30 1.9k 1.1× 547 1.4× 392 1.3× 219 1.2× 186 1.4× 60 2.3k

Countries citing papers authored by Edgar M. Pera

Since Specialization
Citations

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

Fields of papers citing papers by Edgar M. Pera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar M. Pera. 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 Edgar M. Pera. The network helps show where Edgar M. Pera may publish in the future.

Co-authorship network of co-authors of Edgar M. Pera

This figure shows the co-authorship network connecting the top 25 collaborators of Edgar M. Pera. A scholar is included among the top collaborators of Edgar M. Pera 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 Edgar M. Pera. Edgar M. Pera 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
2.
Maccarana, Marco, Emil Tykesson, Edgar M. Pera, et al.. (2021). Inhibition of iduronic acid biosynthesis by ebselen reduces glycosaminoglycan accumulation in mucopolysaccharidosis type I fibroblasts. Glycobiology. 31(10). 1319–1329. 2 indexed citations
3.
Gouignard, Nadège, et al.. (2018). Gene expression of the two developmentally regulated dermatan sulfate epimerases in the Xenopus embryo. PLoS ONE. 13(1). e0191751–e0191751. 2 indexed citations
4.
Thelin, Martin A., Barbara Bartolini, Jakob Axelsson, et al.. (2013). Biological functions of iduronic acid in chondroitin/dermatan sulfate. FEBS Journal. 280(10). 2431–2446. 104 indexed citations
5.
Pera, Edgar M., et al.. (2013). Active signals, gradient formation and regional specificity in neural induction. Experimental Cell Research. 321(1). 25–31. 31 indexed citations
6.
Kriebel, Martin, et al.. (2011). The dual regulator Sufu integrates Hedgehog and Wnt signals in the early Xenopus embryo. Developmental Biology. 358(1). 262–276. 28 indexed citations
7.
Strate, Ina, et al.. (2008). Expression of the novel gene Ened during mouse and Xenopus embryonic development. The International Journal of Developmental Biology. 52(8). 1119–1122. 4 indexed citations
8.
Fuentealba, Luis C., Edward Eivers, Atsushi Ikeda, et al.. (2007). Integrating Patterning Signals: Wnt/GSK3 Regulates the Duration of the BMP/Smad1 Signal. Cell. 131(5). 980–993. 434 indexed citations
9.
Hou, Shirui, et al.. (2007). The Secreted Serine Protease xHtrA1 Stimulates Long-Range FGF Signaling in the Early Xenopus Embryo. Developmental Cell. 13(2). 226–241. 49 indexed citations
10.
Pera, Edgar M., Shirui Hou, Ina Strate, Oliver Wessely, & Edward M. De Robertis. (2005). Exploration of the extracellular space by a large-scale secretion screen in the early Xenopus embryo. The International Journal of Developmental Biology. 49(7). 781–796. 8 indexed citations
11.
Pera, Edgar M., Atsushi Ikeda, Edward Eivers, & Edward M. De Robertis. (2003). Integration of IGF, FGF, and anti-BMP signals via Smad1 phosphorylation in neural induction. Genes & Development. 17(24). 3023–3028. 330 indexed citations
12.
Pera, Edgar M., et al.. (2003). Darmin is a novel secreted protein expressed during endoderm development in Xenopus. Gene Expression Patterns. 3(2). 147–152. 13 indexed citations
13.
Pera, Edgar M., et al.. (2002). Isthmin is a novel secreted protein expressed as part of the Fgf-8 synexpression group in the Xenopus midbrain–hindbrain organizer. Mechanisms of Development. 116(1-2). 169–172. 61 indexed citations
14.
Wessely, Oliver, Eric Agius, Michael Oelgeschläger, Edgar M. Pera, & Edward M. De Robertis. (2001). Neural Induction in the Absence of Mesoderm: β-Catenin-Dependent Expression of Secreted BMP Antagonists at the Blastula Stage in Xenopus. Developmental Biology. 234(1). 161–173. 99 indexed citations
15.
Pera, Edgar M., et al.. (2001). Neural and Head Induction by Insulin-like Growth Factor Signals. Developmental Cell. 1(5). 655–665. 174 indexed citations
16.
Robertis, Edward M. De, Oliver Wessely, Michael Oelgeschläger, et al.. (2001). Molecular mechanisms of cell-cell signaling by the Spemann-Mangold organizer. The International Journal of Developmental Biology. 45(1). 189–197. 36 indexed citations
17.
Pera, Edgar M. & Edward M. De Robertis. (2000). A direct screen for secreted proteins in Xenopus embryos identifies distinct activities for the Wnt antagonists Crescent and Frzb-1. Mechanisms of Development. 96(2). 183–195. 99 indexed citations
18.
Pera, Edgar M. & Michael Kessel. (1999). Expression of DLX3 in chick embryos. Mechanisms of Development. 89(1-2). 189–193. 36 indexed citations
19.
Pera, Edgar M. & Michael Kessel. (1998). Demarcation of ventral territories by the homeobox gene NKX2.1 during early chick development. Development Genes and Evolution. 208(3). 168–171. 57 indexed citations
20.
Kessel, Michael & Edgar M. Pera. (1998). Unexpected requirements for neural induction in the avian embryo. Trends in Genetics. 14(5). 169–171. 5 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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