Axel Visel

39.2k total citations · 4 hit papers
107 papers, 9.6k citations indexed

About

Axel Visel is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Axel Visel has authored 107 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 31 papers in Genetics and 15 papers in Plant Science. Recurrent topics in Axel Visel's work include Genomics and Chromatin Dynamics (44 papers), RNA Research and Splicing (28 papers) and Developmental Biology and Gene Regulation (17 papers). Axel Visel is often cited by papers focused on Genomics and Chromatin Dynamics (44 papers), RNA Research and Splicing (28 papers) and Developmental Biology and Gene Regulation (17 papers). Axel Visel collaborates with scholars based in United States, Switzerland and Germany. Axel Visel's co-authors include L Pennacchio, Edward M. Rubin, Veena Afzal, Jennifer A. Akiyama, Ingrid Plajzer-Frick, Amy Holt, Susannah G. Tringe, Malak Shoukry, Tanja Woyke and Diane E. Dickel and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Axel Visel

103 papers receiving 9.5k citations

Hit Papers

Metagenomic Discovery of Biomass-Degrading Genes and Geno... 2006 2026 2012 2019 2011 2006 2015 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Axel Visel United States 47 7.1k 2.0k 1.7k 755 690 107 9.6k
Paul Theodor Pyl Sweden 7 8.4k 1.2× 1.9k 1.0× 2.7k 1.6× 723 1.0× 1.9k 2.8× 13 14.5k
Brandon J. Wainwright Australia 50 6.9k 1.0× 2.4k 1.2× 648 0.4× 433 0.6× 615 0.9× 170 11.1k
Kiyokazu Agata Japan 60 8.2k 1.2× 1.2k 0.6× 2.9k 1.7× 651 0.9× 448 0.6× 231 10.5k
David Ish‐Horowicz United Kingdom 50 9.5k 1.3× 2.1k 1.1× 1.4k 0.8× 647 0.9× 406 0.6× 103 11.2k
Shawn M. Burgess United States 46 6.6k 0.9× 2.6k 1.3× 1.1k 0.6× 319 0.4× 414 0.6× 119 8.8k
Yutaka Suzuki Japan 50 6.1k 0.9× 1.3k 0.7× 1.2k 0.7× 385 0.5× 1.0k 1.5× 318 9.8k
Ryan Lister Australia 52 11.9k 1.7× 2.4k 1.2× 4.6k 2.7× 271 0.4× 956 1.4× 96 15.3k
Markus Schuelke Germany 41 5.7k 0.8× 2.7k 1.4× 1.4k 0.8× 686 0.9× 271 0.4× 151 9.8k
Susan Land United States 31 4.4k 0.6× 3.3k 1.7× 2.0k 1.2× 505 0.7× 1.3k 1.8× 71 10.5k
Marijke J. van Baren United States 14 9.1k 1.3× 1.7k 0.9× 3.4k 2.0× 614 0.8× 2.4k 3.4× 18 14.7k

Countries citing papers authored by Axel Visel

Since Specialization
Citations

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

Fields of papers citing papers by Axel Visel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Axel Visel

This figure shows the co-authorship network connecting the top 25 collaborators of Axel Visel. A scholar is included among the top collaborators of Axel Visel 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 Axel Visel. Axel Visel 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.
Kumari, Priyanka, Sarah W. Curtis, Kitt Paraiso, et al.. (2025). Identification of functional non-coding variants associated with orofacial cleft. Nature Communications. 16(1). 6545–6545.
2.
Hollingsworth, Ethan W., Sandra Jacinto, Joshua A. Alcantara, et al.. (2025). Range extender mediates long-distance enhancer activity. Nature. 643(8072). 830–838. 7 indexed citations
3.
Kosicki, Michael, Fotis A. Baltoumas, Guy Kelman, et al.. (2024). VISTA Enhancer browser: an updated database of tissue-specific developmental enhancers. Nucleic Acids Research. 53(D1). D324–D330. 10 indexed citations
4.
Bezrutczyk, Margaret, Danielle Goudeau, Ronan C. O’Malley, et al.. (2024). Spatial co-transcriptomics reveals discrete stages of the arbuscular mycorrhizal symbiosis. Nature Plants. 10(4). 673–688. 30 indexed citations
5.
Ali, Shahid, Muhammad Abrar, Irfan Hussain, et al.. (2023). Identification of ancestral gnathostome Gli3 enhancers with activity in mammals. Development Growth & Differentiation. 66(1). 75–88. 2 indexed citations
6.
Mannion, Brandon J., Dunja Knapp, Fabian Lim, et al.. (2023). Conserved enhancers control notochord expression of vertebrate Brachyury. Nature Communications. 14(1). 6594–6594. 5 indexed citations
7.
Weber, Christopher R., et al.. (2023). Identification of conserved skeletal enhancers associated with craniosynostosis risk genes. Human Molecular Genetics. 33(10). 837–849. 3 indexed citations
8.
Barozzi, Iros, Robert Reinhardt, Thomas Oberholzer, et al.. (2021). SMAD4 target genes are part of a transcriptional network that integrates the response to BMP and SHH signaling during early limb bud patterning. Development. 148(23). 11 indexed citations
9.
Ypsilanti, Athéna R., Kartik Pattabiraman, Rinaldo Catta-Preta, et al.. (2021). Transcriptional network orchestrating regional patterning of cortical progenitors. Proceedings of the National Academy of Sciences. 118(51). 27 indexed citations
10.
Cole, Benjamin, Dominique C. Bergmann, Crysten E. Blaby‐Haas, et al.. (2021). Plant single-cell solutions for energy and the environment. Communications Biology. 4(1). 962–962. 30 indexed citations
11.
He, Peng, Brian A. Williams, Diane Trout, et al.. (2020). The changing mouse embryo transcriptome at whole tissue and single-cell resolution. Nature. 583(7818). 760–767. 97 indexed citations
12.
Wang, Gaoyan, Elizabeth M. Ryan, Meredith McDonald, et al.. (2020). Genome-wide identification of bacterial plant colonization genes. UNC Libraries. 1 indexed citations
13.
Hashimoto, Hisayuki, Zhaoning Wang, Glynnis A. Garry, et al.. (2019). Cardiac Reprogramming Factors Synergistically Activate Genome-wide Cardiogenic Stage-Specific Enhancers. Cell stem cell. 25(1). 69–86.e5. 68 indexed citations
14.
Preißl, Sebastian, Rongxin Fang, Hui Huang, et al.. (2018). Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation. Nature Neuroscience. 21(3). 432–439. 195 indexed citations
15.
Sasse, Joëlle, Josefine Kant, Benjamin Cole, et al.. (2018). Multilab EcoFAB study shows highly reproducible physiology and depletion of soil metabolites by a model grass. New Phytologist. 222(2). 1149–1160. 56 indexed citations
16.
Cole, Benjamin, Meghan E. Feltcher, R. Jordan Waters, et al.. (2017). Genome-wide identification of bacterial plant colonization genes. PLoS Biology. 15(9). e2002860–e2002860. 148 indexed citations
17.
Osterwalder, Marco, Wing-Lee Chan, Lars Wittler, et al.. (2017). Composition and dosage of a multipartite enhancer cluster control developmental expression of Ihh (Indian hedgehog). Nature Genetics. 49(10). 1539–1545. 85 indexed citations
18.
Attanasio, Catia, Alex S. Nord, Yiwen Zhu, et al.. (2013). Fine Tuning of Craniofacial Morphology by Distant-Acting Enhancers. Science. 342(6157). 1241006–1241006. 170 indexed citations
19.
Prabhakar, Shyam, Axel Visel, Jennifer A. Akiyama, et al.. (2008). Human-Specific Gain of Function in a Developmental Enhancer. Science. 321(5894). 1346–1350. 246 indexed citations
20.
Bassingthwaighte, James B., Ellen‐Marie Forsberg, Axel Visel, et al.. (2002). The Physiome Project: The Macroethics of Engineering toward Health. 22(3). 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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