Thomas Vierbuchen

7.2k total citations · 3 hit papers
20 papers, 5.1k citations indexed

About

Thomas Vierbuchen is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Vierbuchen has authored 20 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Vierbuchen's work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers) and Genomics and Chromatin Dynamics (5 papers). Thomas Vierbuchen is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers) and Genomics and Chromatin Dynamics (5 papers). Thomas Vierbuchen collaborates with scholars based in United States, United Kingdom and Australia. Thomas Vierbuchen's co-authors include Marius Wernig, Thomas C. Südhof, Zhiping P. Pang, Austin Ostermeier, Yuko Kokubu, Samuele Marro, Daniel Fuentes, Nan Yang, Ami Citri and Vittorio Sebastiano and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Thomas Vierbuchen

19 papers receiving 5.0k citations

Hit Papers

Direct conversion of fibroblasts to functional neurons by... 2010 2026 2015 2020 2010 2011 2013 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Vierbuchen United States 14 4.5k 1.1k 978 571 548 20 5.1k
Christopher A. Fasano United States 7 3.4k 0.8× 1.1k 1.1× 1.0k 1.0× 369 0.6× 323 0.6× 9 4.1k
Su-Chun Zhang United States 25 2.8k 0.6× 1.3k 1.2× 1.2k 1.2× 392 0.7× 306 0.6× 31 3.9k
Austin Ostermeier United States 5 3.0k 0.7× 742 0.7× 625 0.6× 294 0.5× 426 0.8× 5 3.4k
Vittorio Sebastiano United States 27 4.5k 1.0× 500 0.5× 422 0.4× 770 1.3× 541 1.0× 53 5.2k
Georgia Panagiotakos United States 21 2.6k 0.6× 806 0.8× 770 0.8× 293 0.5× 421 0.8× 25 3.6k
Stuart M. Chambers United States 24 5.0k 1.1× 1.2k 1.2× 859 0.9× 532 0.9× 574 1.0× 29 6.8k
In‐Hyun Park United States 35 5.8k 1.3× 854 0.8× 549 0.6× 1.1k 1.9× 898 1.6× 89 7.1k
Asuka Morizane Japan 31 4.7k 1.1× 1.8k 1.7× 965 1.0× 444 0.8× 805 1.5× 62 5.9k
Ayaka Nishiyama Japan 10 3.8k 0.8× 845 0.8× 886 0.9× 287 0.5× 517 0.9× 12 4.6k
Keiko Muguruma Japan 22 5.2k 1.2× 1.5k 1.4× 1.1k 1.1× 418 0.7× 689 1.3× 55 6.5k

Countries citing papers authored by Thomas Vierbuchen

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Vierbuchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Vierbuchen

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Vierbuchen. A scholar is included among the top collaborators of Thomas Vierbuchen 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 Thomas Vierbuchen. Thomas Vierbuchen 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.
Ee, Ly-Sha, Christopher M. Uyehara, Eralda Salataj, et al.. (2025). Enhancer remodeling by OTX2 directs specification and patterning of mammalian definitive endoderm. Developmental Cell. 60(24). 3431–3445.e8. 2 indexed citations
2.
Yang, Marty G., et al.. (2025). A mouse organoid platform for modeling cerebral cortex development and cis-regulatory evolution in vitro. Developmental Cell. 60(24). 3544–3560.e8.
3.
Parikh, Chirag R., Rachel A. Glenn, Yufang Shi, et al.. (2025). Genetic variation modulates susceptibility to aberrant DNA hypomethylation and imprint deregulation in naive pluripotent stem cells. Stem Cell Reports. 20(4). 102450–102450. 1 indexed citations
4.
Cheng, Lingling, et al.. (2025). NIPBL-mediated 3D genome folding translates enhancer priming into gene activation and safeguards lineage fidelity during embryonic transitions. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations
5.
Luo, Renhe, Jielin Yan, Xi Wang, et al.. (2023). Dynamic network-guided CRISPRi screen identifies CTCF-loop-constrained nonlinear enhancer gene regulatory activity during cell state transitions. Nature Genetics. 55(8). 1336–1346. 23 indexed citations
6.
Sun, Zhen, Richard P. Koche, Dingyu Liu, et al.. (2023). Chromatin regulation of transcriptional enhancers and cell fate by the Sotos syndrome gene NSD1. Molecular Cell. 83(14). 2398–2416.e12. 22 indexed citations
7.
8.
Yang, Marty G., Emi Ling, Christopher Cowley, Michael E. Greenberg, & Thomas Vierbuchen. (2022). Characterization of sequence determinants of enhancer function using natural genetic variation. eLife. 11. 9 indexed citations
9.
Aronson, Boaz E., Laurianne Scourzic, Andreas Kloetgen, et al.. (2021). A bipartite element with allele-specific functions safeguards DNA methylation imprints at the Dlk1-Dio3 locus. Developmental Cell. 56(22). 3052–3065.e5. 14 indexed citations
10.
Renthal, William, Lisa D. Boxer, Siniša Hrvatin, et al.. (2018). Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing. Nature Neuroscience. 21(12). 1670–1679. 87 indexed citations
11.
Mall, Moritz, Michael S. Kareta, Soham Chanda, et al.. (2017). Myt1l safeguards neuronal identity by actively repressing many non-neuronal fates. Nature. 544(7649). 245–249. 149 indexed citations
12.
Vierbuchen, Thomas, Emi Ling, Christopher Cowley, et al.. (2017). AP-1 Transcription Factors and the BAF Complex Mediate Signal-Dependent Enhancer Selection. Molecular Cell. 68(6). 1067–1082.e12. 274 indexed citations
13.
Malik, Athar N., Thomas Vierbuchen, Martin Hemberg, et al.. (2014). Genome-wide identification and characterization of functional neuronal activity–dependent enhancers. Nature Neuroscience. 17(10). 1330–1339. 191 indexed citations
14.
Webb, Ashley E., Elizabeth A. Pollina, Thomas Vierbuchen, et al.. (2013). FOXO3 Shares Common Targets with ASCL1 Genome-wide and Inhibits ASCL1-Dependent Neurogenesis. Cell Reports. 4(3). 477–491. 119 indexed citations
15.
Wapinski, Orly L., Thomas Vierbuchen, Kun Qu, et al.. (2013). Hierarchical Mechanisms for Direct Reprogramming of Fibroblasts to Neurons. Cell. 155(3). 621–635. 470 indexed citations breakdown →
16.
Yang, Nan, J. Bradley Zuchero, Henrik Ahlenius, et al.. (2013). Generation of oligodendroglial cells by direct lineage conversion. Nature Biotechnology. 31(5). 434–439. 242 indexed citations
17.
Vierbuchen, Thomas & Marius Wernig. (2012). Molecular Roadblocks for Cellular Reprogramming. Molecular Cell. 47(6). 827–838. 146 indexed citations
18.
Vierbuchen, Thomas & Marius Wernig. (2011). Direct lineage conversions: unnatural but useful?. Nature Biotechnology. 29(10). 892–907. 198 indexed citations
19.
Pang, Zhiping P., Nan Yang, Thomas Vierbuchen, et al.. (2011). Induction of human neuronal cells by defined transcription factors. Nature. 476(7359). 220–223. 959 indexed citations breakdown →
20.
Vierbuchen, Thomas, Austin Ostermeier, Zhiping P. Pang, et al.. (2010). Direct conversion of fibroblasts to functional neurons by defined factors. Nature. 463(7284). 1035–1041. 2203 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.

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