Knut Woltjen

9.5k total citations · 3 hit papers
69 papers, 6.1k citations indexed

About

Knut Woltjen is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Knut Woltjen has authored 69 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 17 papers in Genetics and 6 papers in Surgery. Recurrent topics in Knut Woltjen's work include Pluripotent Stem Cells Research (45 papers), CRISPR and Genetic Engineering (41 papers) and Animal Genetics and Reproduction (12 papers). Knut Woltjen is often cited by papers focused on Pluripotent Stem Cells Research (45 papers), CRISPR and Genetic Engineering (41 papers) and Animal Genetics and Reproduction (12 papers). Knut Woltjen collaborates with scholars based in Japan, Canada and United States. Knut Woltjen's co-authors include Keisuke Kaji, Maria Mileikovsky, Paria Mohseni, András Nagy, Hoon‐Ki Sung, Agnieszka Paca, Katherine Norrby, Iacovos P. Michael, Riikka H. Hämäläinen and Jeffrey L. Wrana and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Knut Woltjen

67 papers receiving 6.0k citations

Hit Papers

piggyBac transposition reprograms fibroblasts to induced ... 2009 2026 2014 2020 2009 2009 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Knut Woltjen Japan 32 5.3k 915 821 692 556 69 6.1k
Styliani Markoulaki United States 28 5.5k 1.0× 935 1.0× 644 0.8× 580 0.8× 556 1.0× 43 6.3k
Hidenori Akutsu Japan 36 5.4k 1.0× 1.5k 1.7× 750 0.9× 606 0.9× 539 1.0× 124 6.8k
Yuin‐Han Loh Singapore 33 7.8k 1.5× 925 1.0× 984 1.2× 903 1.3× 867 1.6× 76 8.6k
April D. Pyle United States 30 3.6k 0.7× 632 0.7× 590 0.7× 546 0.8× 367 0.7× 62 4.5k
Akitsu Hotta Japan 38 4.7k 0.9× 957 1.0× 997 1.2× 665 1.0× 385 0.7× 88 5.7k
Guangming Wu Germany 38 5.0k 0.9× 843 0.9× 678 0.8× 532 0.8× 329 0.6× 87 6.1k
Nimet Maherali United States 16 6.3k 1.2× 764 0.8× 955 1.2× 873 1.3× 855 1.5× 20 6.9k
Thorsten M. Schlaeger United States 35 5.4k 1.0× 795 0.9× 635 0.8× 585 0.8× 693 1.2× 72 6.7k
Manching Ku United States 25 7.8k 1.5× 1.3k 1.4× 633 0.8× 484 0.7× 493 0.9× 33 8.8k
Paul J. Tesar United States 32 5.3k 1.0× 668 0.7× 626 0.8× 577 0.8× 269 0.5× 65 6.2k

Countries citing papers authored by Knut Woltjen

Since Specialization
Citations

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

Fields of papers citing papers by Knut Woltjen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Knut Woltjen

This figure shows the co-authorship network connecting the top 25 collaborators of Knut Woltjen. A scholar is included among the top collaborators of Knut Woltjen 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 Knut Woltjen. Knut Woltjen 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.
Kawatou, Masahide, et al.. (2024). Modeling mutation-specific arrhythmogenic phenotypes in isogenic human iPSC-derived cardiac tissues. Scientific Reports. 14(1). 2586–2586. 10 indexed citations
2.
Matsumoto, Tomoko, Takayuki Kondo, Kayoko Tsukita, et al.. (2024). Enrichment of Allelic Editing Outcomes by Prime Editing in Induced Pluripotent Stem Cells. The CRISPR Journal. 7(5). 293–304. 2 indexed citations
3.
Ono, Hiroki, et al.. (2023). Programmable mammalian translational modulators by CRISPR-associated proteins. Nature Communications. 14(1). 2243–2243. 11 indexed citations
4.
Sakai, Kouji, Mandy Siu Yu Lung, Tomoko Matsumoto, et al.. (2023). ACE2 knockout hinders SARS-CoV-2 propagation in iPS cell-derived airway and alveolar epithelial cells. Frontiers in Cell and Developmental Biology. 11. 1290876–1290876. 2 indexed citations
5.
Penfold, Christopher A., Kazuaki Kojima, Haruka Yabukami, et al.. (2023). mRNA-based generation of marmoset PGCLCs capable of differentiation into gonocyte-like cells. Stem Cell Reports. 18(10). 1987–2002. 6 indexed citations
6.
Ito, Kenji, Kohei Nagata, Sho Ohta, et al.. (2022). The oncogene-dependent resistance to reprogramming unveils cancer therapeutic targets. Cell Reports. 39(4). 110721–110721. 10 indexed citations
7.
Reinhardt, Anika, Harunobu Kagawa, & Knut Woltjen. (2020). N-Terminal Amino Acids Determine KLF4 Protein Stability in 2A Peptide-Linked Polycistronic Reprogramming Constructs. Stem Cell Reports. 14(3). 520–527. 9 indexed citations
8.
Monlong, Jean, Michiko Nakamura, Miki Nagai, et al.. (2019). Genome-wide microhomologies enable precise template-free editing of biologically relevant deletion mutations. Nature Communications. 10(1). 4856–4856. 32 indexed citations
9.
Kagawa, Harunobu, Shin‐Il Kim, Fabian Oceguera-Yañez, et al.. (2019). OVOL1 Influences the Determination and Expansion of iPSC Reprogramming Intermediates. Stem Cell Reports. 12(2). 319–332. 9 indexed citations
10.
Kim, Shin‐Il, Tomoko Matsumoto, Harunobu Kagawa, et al.. (2018). Microhomology-assisted scarless genome editing in human iPSCs. Nature Communications. 9(1). 939–939. 45 indexed citations
11.
Ikeda, Takashi, Takafusa Hikichi, Hisashi Miura, et al.. (2018). Srf destabilizes cellular identity by suppressing cell-type-specific gene expression programs. Nature Communications. 9(1). 1387–1387. 26 indexed citations
12.
Sone, Masamitsu, Nobuhiro Morone, Tomonori Nakamura, et al.. (2017). Hybrid Cellular Metabolism Coordinated by Zic3 and Esrrb Synergistically Enhances Induction of Naive Pluripotency. Cell Metabolism. 25(5). 1103–1117.e6. 57 indexed citations
13.
Matsuda, Mitsuhiro, et al.. (2015). Synthetic lateral inhibition governs cell-type bifurcation with robust ratios. Nature Communications. 6(1). 6195–6195. 67 indexed citations
14.
Shoji, Emi, Knut Woltjen, & Hidetoshi Sakurai. (2015). Directed Myogenic Differentiation of Human Induced Pluripotent Stem Cells. Methods in molecular biology. 1353. 89–99. 33 indexed citations
15.
Skylaki, Stavroula, Sergio Ménendez, Shin‐Il Kim, et al.. (2015). Reprogramming Roadblocks Are System Dependent. Stem Cell Reports. 5(3). 350–364. 26 indexed citations
16.
Ohnishi, K, Katsunori Semi, Takuya Yamamoto, et al.. (2014). Premature Termination of Reprogramming In Vivo Leads to Cancer Development through Altered Epigenetic Regulation. Cell. 156(4). 663–677. 335 indexed citations
17.
Tanaka, Akihito, Knut Woltjen, Katsuya Miyake, et al.. (2013). Efficient and Reproducible Myogenic Differentiation from Human iPS Cells: Prospects for Modeling Miyoshi Myopathy In Vitro. PLoS ONE. 8(4). e61540–e61540. 184 indexed citations
18.
Nagy, Kristina Vintersten, Hoon‐Ki Sung, Puzheng Zhang, et al.. (2011). Induced Pluripotent Stem Cell Lines Derived from Equine Fibroblasts. Stem Cell Reviews and Reports. 7(3). 693–702. 180 indexed citations
19.
Monetti, Claudio, Koichiro Nishino, Steffen Biechele, et al.. (2010). PhiC31 integrase facilitates genetic approaches combining multiple recombinases. Methods. 53(4). 380–385. 20 indexed citations
20.
Kaji, Keisuke, Katherine Norrby, Agnieszka Paca, et al.. (2009). Virus-free induction of pluripotency and subsequent excision of reprogramming factors. Nature. 458(7239). 771–775. 887 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026