Dieter Egli

6.6k total citations · 1 hit paper
71 papers, 4.2k citations indexed

About

Dieter Egli is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Dieter Egli has authored 71 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 26 papers in Genetics and 20 papers in Surgery. Recurrent topics in Dieter Egli's work include Pluripotent Stem Cells Research (36 papers), CRISPR and Genetic Engineering (26 papers) and Pancreatic function and diabetes (19 papers). Dieter Egli is often cited by papers focused on Pluripotent Stem Cells Research (36 papers), CRISPR and Genetic Engineering (26 papers) and Pancreatic function and diabetes (19 papers). Dieter Egli collaborates with scholars based in United States, Israel and United Kingdom. Dieter Egli's co-authors include Kevin Eggan, Garrett Birkhoff, Rudolph L. Leibel, Mark V. Sauer, Robin Goland, Jacqueline Rosains, Daniel Paull, Robert Prosser, Charles A. LeDuc and Kun Zhang and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Dieter Egli

67 papers receiving 4.1k citations

Hit Papers

A Small-Molecule Inhibitor of Tgf-β Signaling Replaces So... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dieter Egli United States 32 3.3k 1.0k 810 491 283 71 4.2k
Toshihiro Kobayashi Japan 33 3.6k 1.1× 983 1.0× 743 0.9× 575 1.2× 250 0.9× 76 4.2k
Kathy K. Niakan United Kingdom 27 4.3k 1.3× 647 0.6× 449 0.6× 741 1.5× 444 1.6× 51 5.1k
Hitoshi Niwa Japan 24 5.9k 1.8× 835 0.8× 736 0.9× 571 1.2× 491 1.7× 36 7.3k
Naoko Irie United Kingdom 15 2.7k 0.8× 647 0.6× 255 0.3× 457 0.9× 96 0.3× 25 3.4k
Sebastian Preißl United States 27 2.9k 0.9× 599 0.6× 393 0.5× 133 0.3× 120 0.4× 44 3.8k
Cinzia Allegrucci United Kingdom 28 2.0k 0.6× 537 0.5× 334 0.4× 358 0.7× 205 0.7× 53 2.9k
Olena Taranova United States 10 3.5k 1.1× 749 0.7× 545 0.7× 98 0.2× 126 0.4× 12 4.2k
Manching Ku United States 25 7.8k 2.4× 1.3k 1.3× 633 0.8× 162 0.3× 493 1.7× 33 8.8k
Shau‐Ping Lin Taiwan 25 3.0k 0.9× 1.4k 1.4× 238 0.3× 271 0.6× 292 1.0× 75 4.0k
Gist F. Croft United States 20 3.3k 1.0× 320 0.3× 370 0.5× 204 0.4× 537 1.9× 27 4.1k

Countries citing papers authored by Dieter Egli

Since Specialization
Citations

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

Fields of papers citing papers by Dieter Egli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dieter Egli

This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Egli. A scholar is included among the top collaborators of Dieter Egli 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 Dieter Egli. Dieter Egli 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.
Wang, Ning, Angelo Taglialatela, Colleen R. Reczek, et al.. (2024). BRCA1 and 53BP1 regulate reprogramming efficiency by mediating DNA repair pathway choice at replication-associated double-strand breaks. Cell Reports. 43(4). 114006–114006. 6 indexed citations
2.
González, Bryan J., Haoquan Zhao, Jacqueline Niu, et al.. (2022). Reduced calcium levels and accumulation of abnormal insulin granules in stem cell models of HNF1A deficiency. Communications Biology. 5(1). 779–779. 16 indexed citations
3.
Sui, Lina, Yurong Xin, Leena Haataja, et al.. (2021). Reduced replication fork speed promotes pancreatic endocrine differentiation and controls graft size. JCI Insight. 6(5). 25 indexed citations
4.
Edwards, Matthew, Michael V. Zuccaro, Ido Sagi, et al.. (2021). Delayed DNA replication in haploid human embryonic stem cells. Genome Research. 31(12). 2155–2169. 6 indexed citations
5.
Ackeifi, Courtney, Peng Wang, Esra Karaköse, et al.. (2020). GLP-1 receptor agonists synergize with DYRK1A inhibitors to potentiate functional human β cell regeneration. Science Translational Medicine. 12(530). 89 indexed citations
6.
7.
Sagi, Ido, Michael V. Zuccaro, Tamar Golan‐Lev, et al.. (2019). Distinct Imprinting Signatures and Biased Differentiation of Human Androgenetic and Parthenogenetic Embryonic Stem Cells. Cell stem cell. 25(3). 419–432.e9. 26 indexed citations
8.
Skowronski, Alicja A., Danielle Baum, Sebastian Thams, et al.. (2019). Transgenic substitution with Greater Amberjack Seriola dumerili fish insulin 2 in NOD mice reduces beta cell immunogenicity. Scientific Reports. 9(1). 4965–4965.
9.
Watanabe, Kazuhisa, Richard Rausch, Dieter Egli, et al.. (2018). ILDR2 has a negligible role in hepatic steatosis. PLoS ONE. 13(5). e0197548–e0197548. 2 indexed citations
10.
Sevilla, Ana, Matthew Zimmer, Héctor Martínez, et al.. (2018). Derivation and characterization of the NIH registry human stem cell line NYSCF100 line under defined feeder-free conditions. Stem Cell Research. 29. 99–102. 1 indexed citations
11.
Weissbein, Uri, et al.. (2016). Analysis of chromosomal aberrations and recombination by allelic bias in RNA-Seq. Nature Communications. 7(1). 12144–12144. 46 indexed citations
12.
Yamada, Mitsutoshi, Valentina Emmanuele, Maria J. Sanchez‐Quintero, et al.. (2016). Genetic Drift Can Compromise Mitochondrial Replacement by Nuclear Transfer in Human Oocytes. Cell stem cell. 18(6). 749–754. 117 indexed citations
13.
Burnett, Lisa C., Charles A. LeDuc, Carlos R. Sulsona, et al.. (2016). Induced pluripotent stem cells (iPSC) created from skin fibroblasts of patients with Prader-Willi syndrome (PWS) retain the molecular signature of PWS. Stem Cell Research. 17(3). 526–530. 22 indexed citations
14.
Sagi, Ido, Gloryn Chia, Tamar Golan‐Lev, et al.. (2016). Derivation and differentiation of haploid human embryonic stem cells. Nature. 532(7597). 107–111. 117 indexed citations
15.
Wang, Liheng, Kana Meece, Damian J. Williams, et al.. (2015). Differentiation of hypothalamic-like neurons from human pluripotent stem cells. Journal of Clinical Investigation. 125(2). 796–808. 84 indexed citations
16.
Li, Yao, Huy Nguyen, Yi‐Ting Tsai, et al.. (2014). Gene Therapy in Patient-specific Stem Cell Lines and a Preclinical Model of Retinitis Pigmentosa With Membrane Frizzled-related Protein Defects. Molecular Therapy. 22(9). 1688–1697. 63 indexed citations
17.
Goland, Robin & Dieter Egli. (2014). Stem Cell-Derived Beta Cells for Treatment of Type 1 Diabetes?. EBioMedicine. 1(2-3). 93–94. 2 indexed citations
18.
Chia, Gloryn & Dieter Egli. (2013). Connecting the Cell Cycle with Cellular Identity. Cellular Reprogramming. 15(5). 356–366. 5 indexed citations
19.
Deng, Jie, Robert Shoemaker, Bin Xie, et al.. (2009). Targeted bisulfite sequencing reveals changes in DNA methylation associated with nuclear reprogramming. Nature Biotechnology. 27(4). 353–360. 357 indexed citations
20.
Egli, Dieter, Garrett Birkhoff, & Kevin Eggan. (2008). Mediators of reprogramming: transcription factors and transitions through mitosis. Nature Reviews Molecular Cell Biology. 9(7). 505–516. 163 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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