Thorsten M. Schlaeger

10.5k total citations · 2 hit papers
72 papers, 6.7k citations indexed

About

Thorsten M. Schlaeger is a scholar working on Molecular Biology, Cell Biology and Hematology. According to data from OpenAlex, Thorsten M. Schlaeger has authored 72 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 16 papers in Cell Biology and 12 papers in Hematology. Recurrent topics in Thorsten M. Schlaeger's work include CRISPR and Genetic Engineering (30 papers), Pluripotent Stem Cells Research (26 papers) and Zebrafish Biomedical Research Applications (14 papers). Thorsten M. Schlaeger is often cited by papers focused on CRISPR and Genetic Engineering (30 papers), Pluripotent Stem Cells Research (26 papers) and Zebrafish Biomedical Research Applications (14 papers). Thorsten M. Schlaeger collaborates with scholars based in United States, Germany and United Kingdom. Thorsten M. Schlaeger's co-authors include George Q. Daley, Philip D. Manos, Yuin‐Han Loh, Stuart H. Orkin, Yuko Fujiwara, Tim Ahfeldt, Wataru Ebina, Pankaj Kumar Mandal, Andrew S. Brack and Hu Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Thorsten M. Schlaeger

70 papers receiving 6.6k citations

Hit Papers

2 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.

Highly Efficient Reprogramming to Pluripotency and Directed Differentiation of Human Cells with Synthetic Modified mRNA

2010 1.9k citations George Q. Daley, Thorsten M. Schlaeger et al. Cell stem cell profile →
Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts

2009 867 citations Justine D. Miller, Thorsten M. Schlaeger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thorsten M. Schlaeger United States	35	5.4k	875	795	693	635	72	6.7k
Stuart M. Chambers United States	24	5.0k 0.9×	336 0.4×	532 0.7×	768 1.1×	574 0.9×	29	6.8k
Takumi Era Japan	35	3.0k 0.6×	483 0.6×	482 0.6×	337 0.5×	829 1.3×	91	4.4k
Paul S. Knoepfler United States	43	4.5k 0.8×	333 0.4×	726 0.9×	566 0.8×	483 0.8×	88	5.8k
Jay W. Schneider United States	29	4.4k 0.8×	406 0.5×	491 0.6×	403 0.6×	471 0.7×	52	5.7k
Chyuan‐Sheng Lin United States	31	4.3k 0.8×	540 0.6×	1.3k 1.6×	379 0.5×	602 0.9×	70	6.5k
Peter J. Donovan United States	36	5.3k 1.0×	1.2k 1.3×	1.3k 1.7×	436 0.6×	785 1.2×	74	7.0k
Marcus Fruttiger United Kingdom	50	7.6k 1.4×	2.0k 2.3×	347 0.4×	575 0.8×	677 1.1×	116	12.5k
Maxim A. Vodyanik United States	20	9.0k 1.7×	959 1.1×	829 1.0×	1.2k 1.8×	1.9k 3.0×	28	10.7k
Pankaj Kumar Mandal United States	19	3.7k 0.7×	232 0.3×	520 0.7×	447 0.6×	445 0.7×	46	4.5k
Hitoshi Niwa Japan	24	5.9k 1.1×	477 0.5×	835 1.1×	491 0.7×	736 1.2×	36	7.3k

Countries citing papers authored by Thorsten M. Schlaeger

Since Specialization

Citations

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

Fields of papers citing papers by Thorsten M. Schlaeger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten M. Schlaeger

This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten M. Schlaeger. A scholar is included among the top collaborators of Thorsten M. Schlaeger 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 Thorsten M. Schlaeger. Thorsten M. Schlaeger 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

Kinney, Melissa A., Martha A. Clark, Linda T. Vo, et al.. (2025). A xeno-free red blood cell differentiation formula models sickle cell disease from somatically sourced patient iPSCs. Experimental Hematology. 152. 105264–105264.

Zhu, Qian, Kai Yan, Hye Young Ji, et al.. (2024). Matrin3 mediates differentiation through stabilizing chromatin loop-domain interactions and YY1 mediated enhancer-promoter interactions. Nature Communications. 15(1). 1274–1274. 10 indexed citations

Karwacki-Neisius, Violetta, Ahram Jang, Engin Cukuroglu, et al.. (2024). WNT signalling control by KDM5C during development affects cognition. Nature. 627(8004). 594–603. 12 indexed citations

Schlaeger, Thorsten M., et al.. (2024). Epigenetic OCT4 regulatory network: stochastic analysis of cellular reprogramming. npj Systems Biology and Applications. 10(1). 3–3. 3 indexed citations

Falchetti, Marcelo, Tianxiao Han, Stephanie Wang, et al.. (2024). Generation of Functional iPSC-Derived CAR-T Cells for Cancer Immunotherapy Via G9a/GLP Inhibition. Blood. 144(Supplement 1). 2043–2043. 1 indexed citations

Han, Tianxiao, Yang Tang, Song Yang, et al.. (2023). In Vivo Reprogramming of Adult Liver Sinusoidal Vascular Endothelial Cells into a Hematopoietic Stem and Progenitor Cell Niche. Blood. 142(Supplement 1). 4071–4071.

Chen, Chun-Chin, Dahai Wang, Katie Frenis, et al.. (2023). RUNX1 mutations mitigate quiescence to promote transformation of hematopoietic progenitors in Fanconi anemia. Leukemia. 37(8). 1698–1708. 6 indexed citations

Jing, Ran, Edroaldo Lummertz da Rocha, Areum Han, et al.. (2022). EZH1 repression generates mature iPSC-derived CAR T cells with enhanced antitumor activity. Cell stem cell. 29(8). 1181–1196.e6. 61 indexed citations

Rodriguez, Benjamin A.T., Arunoday Bhan, Andrew D Beswick, et al.. (2020). A Platelet Function Modulator of Thrombin Activation Is Causally Linked to Cardiovascular Disease and Affects PAR4 Receptor Signaling. The American Journal of Human Genetics. 107(2). 211–221. 19 indexed citations

10.

Lopes, Carla, Yang Tang, Sandra I. Anjo, et al.. (2020). Mitochondrial and Redox Modifications in Huntington Disease Induced Pluripotent Stem Cells Rescued by CRISPR/Cas9 CAGs Targeting. Frontiers in Cell and Developmental Biology. 8. 576592–576592. 32 indexed citations

11.

Ciarlo, Christie, Charles K. Kaufman, Beste Kınıkoğlu, et al.. (2017). A chemical screen in zebrafish embryonic cells establishes that Akt activation is required for neural crest development. eLife. 6. 30 indexed citations

12.

Li, Pulin, Vera Binder, Emily K. Pugach, et al.. (2015). Epoxyeicosatrienoic acids enhance embryonic haematopoiesis and adult marrow engraftment. Nature. 523(7561). 468–471. 82 indexed citations

13.

Felgentreff, Kerstin, Likun Du, Katja G. Weinacht, et al.. (2014). Differential role of nonhomologous end joining factors in the generation, DNA damage response, and myeloid differentiation of human induced pluripotent stem cells. Proceedings of the National Academy of Sciences. 111(24). 8889–8894. 34 indexed citations

14.

Palmer, Nathan, et al.. (2013). iPSC-derived neurons as a higher-throughput readout for autism: promises and pitfalls. Trends in Molecular Medicine. 20(2). 91–104. 35 indexed citations

15.

Hyde, Brigham B., Marc Liesa, Álvaro A. Elorza, et al.. (2012). The mitochondrial transporter ABC-me (ABCB10), a downstream target of GATA-1, is essential for erythropoiesis in vivo. Cell Death and Differentiation. 19(7). 1117–1126. 41 indexed citations

16.

Goessling, Wolfram, Xiao Guan, Ping Jin, et al.. (2011). Prostaglandin E2 Enhances Human Cord Blood Stem Cell Xenotransplants and Shows Long-Term Safety in Preclinical Nonhuman Primate Transplant Models. Cell stem cell. 8(4). 445–458. 201 indexed citations

17.

Miller, Justine D. & Thorsten M. Schlaeger. (2011). Generation of Induced Pluripotent Stem Cell Lines from Human Fibroblasts via Retroviral Gene Transfer. Methods in molecular biology. 767. 55–65. 6 indexed citations

18.

Chan, Elayne M., F Yates, Leah Boyer, Thorsten M. Schlaeger, & George Q. Daley. (2008). Enhanced Plating Efficiency of Trypsin-Adapted Human Embryonic Stem Cells is Reversible and Independent of Trisomy 12/17. Cloning and Stem Cells. 10(1). 107–118. 22 indexed citations

19.

Schlaeger, Thorsten M., Hanna Mikkola, Christos Gekas, Hildur Helgadóttir, & Stuart H. Orkin. (2005). Tie2Cre-mediated gene ablation defines the stem-cell leukemia gene (SCL/tal1)–dependent window during hematopoietic stem-cell development. Blood. 105(10). 3871–3874. 92 indexed citations

20.

Mikkola, Hanna, Yuko Fujiwara, Thorsten M. Schlaeger, David Traver, & Stuart H. Orkin. (2002). Expression of CD41 marks the initiation of definitive hematopoiesis in the mouse embryo. Blood. 101(2). 508–516. 295 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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