Rubén A. Ferrer

684 total citations · 1 hit paper
10 papers, 543 citations indexed

About

Rubén A. Ferrer is a scholar working on Genetics, Rehabilitation and Urology. According to data from OpenAlex, Rubén A. Ferrer has authored 10 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Rehabilitation and 3 papers in Urology. Recurrent topics in Rubén A. Ferrer's work include Hair Growth and Disorders (3 papers), Mesenchymal stem cell research (3 papers) and Wound Healing and Treatments (3 papers). Rubén A. Ferrer is often cited by papers focused on Hair Growth and Disorders (3 papers), Mesenchymal stem cell research (3 papers) and Wound Healing and Treatments (3 papers). Rubén A. Ferrer collaborates with scholars based in Germany, United States and Netherlands. Rubén A. Ferrer's co-authors include Sandra Franz, Elke Wandel, Jan C. Simon, Uwe Freudenberg, Passant Atallah, Lucas Schirmer, Carsten Werner, Manja Wobus, Uwe Platzbecker and Gerhard Ehninger and has published in prestigious journals such as Science Advances, Science Translational Medicine and Journal of Investigative Dermatology.

In The Last Decade

Rubén A. Ferrer

10 papers receiving 540 citations

Hit Papers

Glycosaminoglycan-based hydrogels capture inflammatory ch... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén A. Ferrer Germany 7 205 132 128 86 85 10 543
Jimmy Lee United States 11 158 0.8× 129 1.0× 150 1.2× 147 1.7× 52 0.6× 17 582
Luca Pontiggia Switzerland 17 306 1.5× 204 1.5× 190 1.5× 89 1.0× 46 0.5× 34 818
Doris Greiling United Kingdom 9 176 0.9× 91 0.7× 137 1.1× 25 0.3× 35 0.4× 11 576
Christopher P. Kiritsy United States 10 209 1.0× 74 0.6× 348 2.7× 104 1.2× 32 0.4× 12 1.1k
Donny Hanjaya‐Putra United States 12 100 0.5× 118 0.9× 222 1.7× 29 0.3× 34 0.4× 23 605
Pamela L. Graney United States 12 99 0.5× 141 1.1× 202 1.6× 79 0.9× 22 0.3× 21 773
Feng Xie China 18 129 0.6× 123 0.9× 113 0.9× 41 0.5× 19 0.2× 70 878
Michael F. Davitt United States 7 343 1.7× 133 1.0× 169 1.3× 62 0.7× 9 0.1× 9 663
Longmei Zhao China 19 62 0.3× 144 1.1× 251 2.0× 147 1.7× 25 0.3× 38 842

Countries citing papers authored by Rubén A. Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Rubén A. Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubén A. Ferrer. 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 Rubén A. Ferrer. The network helps show where Rubén A. Ferrer may publish in the future.

Co-authorship network of co-authors of Rubén A. Ferrer

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

All Works

10 of 10 papers shown
1.
Duca, Ester Del, Ying Liu, Lena Sünke Mortensen, et al.. (2023). Repurposing DPP4 Inhibition to Improve Hair Follicle Activation and Regeneration. Journal of Investigative Dermatology. 143(11). 2132–2144.e15. 3 indexed citations
2.
Ferrer, Rubén A., et al.. (2023). Germ-free, carefree: injured skin uses IL-24 to kick-start repair independent of pathogen-recognition. Signal Transduction and Targeted Therapy. 8(1). 379–379. 2 indexed citations
3.
Kohlmann, Johannes, et al.. (2020). Alopecia areata universalis nach Sitagliptin-Einnahme. Der Hautarzt. 72(7). 607–609. 1 indexed citations
4.
Gay, Denise, Christian F. Guerrero‐Juarez, Rubén A. Ferrer, et al.. (2020). Phagocytosis of Wnt inhibitor SFRP4 by late wound macrophages drives chronic Wnt activity for fibrotic skin healing. Science Advances. 6(12). eaay3704–eaay3704. 69 indexed citations
6.
Schirmer, Lucas, Passant Atallah, Elke Wandel, et al.. (2017). Glycosaminoglycan-based hydrogels capture inflammatory chemokines and rescue defective wound healing in mice. Science Translational Medicine. 9(386). 286 indexed citations breakdown →
7.
Ferrer, Rubén A., et al.. (2016). Dermal Fibroblasts Promote Alternative Macrophage Activation Improving Impaired Wound Healing. Journal of Investigative Dermatology. 137(4). 941–950. 48 indexed citations
8.
Fierro, Fernando A., Friedrich Stölzel, David M. Poitz, et al.. (2014). MicroRNA-23a mediates post-transcriptional regulation of CXCL12 in bone marrow stromal cells. Haematologica. 99(6). 997–1005. 24 indexed citations
9.
Ferrer, Rubén A., Manja Wobus, Rebekka Wehner, et al.. (2013). Mesenchymal stromal cells from patients with myelodyplastic syndrome display distinct functional alterations that are modulated by lenalidomide. Haematologica. 98(11). 1677–1685. 68 indexed citations
10.
Wobus, Manja, Rubén A. Ferrer, Rebekka Wehner, et al.. (2012). Impact of lenalidomide on the functional properties of human mesenchymal stromal cells. Experimental Hematology. 40(10). 867–876. 26 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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