Llorenç Solé‐Boldo

790 total citations · 1 hit paper
8 papers, 456 citations indexed

About

Llorenç Solé‐Boldo is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Llorenç Solé‐Boldo has authored 8 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Dermatology. Recurrent topics in Llorenç Solé‐Boldo's work include Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (3 papers) and Skin Protection and Aging (2 papers). Llorenç Solé‐Boldo is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (3 papers) and Skin Protection and Aging (2 papers). Llorenç Solé‐Boldo collaborates with scholars based in Germany, Switzerland and Netherlands. Llorenç Solé‐Boldo's co-authors include Frank Lyko, Anke S. Lonsdorf, Manuel Rodríguez‐Paredes, Jan‐Philipp Mallm, Günter Raddatz, Karsten Rippe, Bernadette Fernandez, Martin Feelisch, Martin C. Harmsen and Alexander Brobeil and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Scientific Reports.

In The Last Decade

Llorenç Solé‐Boldo

8 papers receiving 455 citations

Hit Papers

Single-cell transcriptomes of the human skin reveal age-r... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Llorenç Solé‐Boldo Germany 7 215 124 119 84 78 8 456
Morgan Dragan United States 8 124 0.6× 72 0.6× 94 0.8× 50 0.6× 48 0.6× 10 375
Michael Cangkrama Switzerland 11 308 1.4× 72 0.6× 73 0.6× 86 1.0× 122 1.6× 15 580
Atefeh Lafzi Switzerland 7 282 1.3× 52 0.4× 72 0.6× 55 0.7× 50 0.6× 8 405
Hai Hu United States 7 208 1.0× 121 1.0× 125 1.1× 194 2.3× 115 1.5× 9 564
Remy Vu United States 7 102 0.5× 58 0.5× 78 0.7× 40 0.5× 43 0.6× 8 300
Valentina Rapisarda United Kingdom 8 299 1.4× 41 0.3× 68 0.6× 77 0.9× 95 1.2× 8 504
Adam R. Stabell United States 5 221 1.0× 34 0.3× 61 0.5× 43 0.5× 43 0.6× 5 349
Hajimu Oura Japan 12 284 1.3× 180 1.5× 45 0.4× 117 1.4× 129 1.7× 18 585
Zhujun Li China 8 92 0.4× 86 0.7× 59 0.5× 35 0.4× 87 1.1× 33 320
Kaiju Jiang China 5 137 0.6× 86 0.7× 99 0.8× 169 2.0× 31 0.4× 7 375

Countries citing papers authored by Llorenç Solé‐Boldo

Since Specialization
Citations

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

Fields of papers citing papers by Llorenç Solé‐Boldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Llorenç Solé‐Boldo. 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 Llorenç Solé‐Boldo. The network helps show where Llorenç Solé‐Boldo may publish in the future.

Co-authorship network of co-authors of Llorenç Solé‐Boldo

This figure shows the co-authorship network connecting the top 25 collaborators of Llorenç Solé‐Boldo. A scholar is included among the top collaborators of Llorenç Solé‐Boldo 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 Llorenç Solé‐Boldo. Llorenç Solé‐Boldo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Blank, Lars M., et al.. (2024). estiMAge: development of a DNA methylation clock to estimate the methylation age of single cells. Bioinformatics Advances. 5(1). vbaf005–vbaf005. 1 indexed citations
2.
Solé‐Boldo, Llorenç, Julian Gutekunst, Timur Liwinski, et al.. (2023). TET2 and TET3 loss disrupts small intestine differentiation and homeostasis. Nature Communications. 14(1). 4005–4005. 11 indexed citations
3.
Solé‐Boldo, Llorenç, Jochen Hoffmann, Alexander Brobeil, et al.. (2023). Functionally distinct cancer-associated fibroblast subpopulations establish a tumor promoting environment in squamous cell carcinoma. Nature Communications. 14(1). 5413–5413. 29 indexed citations
4.
Falckenhayn, Cassandra, Llorenç Solé‐Boldo, Horst Wenck, et al.. (2022). Single-Cell RNA Profiling of Human Skin Reveals Age-Related Loss of Dermal Sheath Cells and Their Contribution to a Juvenile Phenotype. Frontiers in Genetics. 12. 797747–797747. 24 indexed citations
5.
Solé‐Boldo, Llorenç, Günter Raddatz, Julian Gutekunst, et al.. (2022). Differentiation‐related epigenomic changes define clinically distinct keratinocyte cancer subclasses. Molecular Systems Biology. 18(9). e11073–e11073. 9 indexed citations
6.
Solé‐Boldo, Llorenç, Günter Raddatz, Jan‐Philipp Mallm, et al.. (2020). Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming. Communications Biology. 3(1). 188–188. 318 indexed citations breakdown →
7.
Avgustinova, Alexandra, Aikaterini Symeonidi, Andrés Castellanos‐Martín, et al.. (2018). Loss of G9a preserves mutation patterns but increases chromatin accessibility, genomic instability and aggressiveness in skin tumours. Nature Cell Biology. 20(12). 1400–1409. 33 indexed citations
8.
Solé‐Boldo, Llorenç, et al.. (2017). Suppression of TAK1 pathway by shear stress counteracts the inflammatory endothelial cell phenotype induced by oxidative stress and TGF-β1. Scientific Reports. 7(1). 42487–42487. 31 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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