Hans Skvara

1.4k total citations
22 papers, 771 citations indexed

About

Hans Skvara is a scholar working on Dermatology, Oncology and Artificial Intelligence. According to data from OpenAlex, Hans Skvara has authored 22 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Dermatology, 5 papers in Oncology and 4 papers in Artificial Intelligence. Recurrent topics in Hans Skvara's work include Optical Coherence Tomography Applications (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Dermatology and Skin Diseases (3 papers). Hans Skvara is often cited by papers focused on Optical Coherence Tomography Applications (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Dermatology and Skin Diseases (3 papers). Hans Skvara collaborates with scholars based in Austria, Switzerland and United States. Hans Skvara's co-authors include Harald Kittler, Michael Binder, Brett P. Monia, Edgar Selzer, Volker Wacheck, Georg Stingl, Thomas Jung, Georg Stary, Matthias Mayerhofer and Sophia Derdak and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Hans Skvara

22 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Skvara Austria 12 270 255 160 132 126 22 771
Friederike Egberts Germany 23 613 2.3× 707 2.8× 245 1.5× 177 1.3× 36 0.3× 57 1.3k
Jeffrey C. Hanson United States 21 590 2.2× 254 1.0× 98 0.6× 36 0.3× 33 0.3× 39 1.2k
Tai‐Chung Huang Taiwan 16 376 1.4× 154 0.6× 101 0.6× 35 0.3× 172 1.4× 39 761
T Castel Spain 20 554 2.1× 833 3.3× 363 2.3× 166 1.3× 34 0.3× 62 1.3k
Silvia Varricchio Italy 16 215 0.8× 205 0.8× 59 0.4× 89 0.7× 24 0.2× 60 682
Marco Palla Italy 14 294 1.1× 576 2.3× 293 1.8× 59 0.4× 15 0.1× 42 911
Anja Gesierich Germany 17 602 2.2× 785 3.1× 239 1.5× 267 2.0× 28 0.2× 64 1.3k
Francesca M. Bosisio Belgium 20 392 1.5× 330 1.3× 230 1.4× 116 0.9× 9 0.1× 53 972
Lydia Sánchez Spain 19 642 2.4× 580 2.3× 213 1.3× 132 1.0× 35 0.3× 25 1.3k
Matthew A. Spear United States 18 629 2.3× 459 1.8× 83 0.5× 16 0.1× 225 1.8× 59 1.2k

Countries citing papers authored by Hans Skvara

Since Specialization
Citations

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

Fields of papers citing papers by Hans Skvara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Skvara

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Skvara. A scholar is included among the top collaborators of Hans Skvara 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 Hans Skvara. Hans Skvara 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.
Skvara, Hans, Václav Šmídl, & Tomáš Pevný. (2024). Anomaly detection in multifactor data. Neural Computing and Applications. 36(34). 21561–21580. 1 indexed citations
2.
Bangert, Christine, Christian Loesche, Hans Skvara, et al.. (2023). IgE Depletion with Ligelizumab Does Not Significantly Improve Clinical Symptoms in Patients with Moderate-to-Severe Atopic Dermatitis. Journal of Investigative Dermatology. 143(10). 1896–1905.e8. 10 indexed citations
3.
4.
Skvara, Hans, et al.. (2022). Semi-supervised deep networks for plasma state identification. Plasma Physics and Controlled Fusion. 64(12). 125004–125004. 2 indexed citations
5.
6.
Skvara, Hans, Václav Šmídl, & J. Urbán. (2018). Robust sparse linear regression for tokamak plasma boundary estimation using variational Bayes. Journal of Physics Conference Series. 1047. 12015–12015. 1 indexed citations
7.
Skvara, Hans, Václav Šmídl, & J. Urbán. (2015). On-line Model Structure Selection for Estimation of Plasma Boundary in a Tokamak. Journal of Physics Conference Series. 659. 12010–12010. 1 indexed citations
8.
Duschek, Nikolaus, et al.. (2013). Melanoma epidemiology of Austria reveals gender-related differences. European Journal of Dermatology. 23(6). 872–878. 12 indexed citations
9.
Skvara, Hans, Patrick Burnett, Julie Jones, et al.. (2012). Quantification of skin lesions with a 3D stereovision camera system: validation and clinical applications. Skin Research and Technology. 19(1). e182–90. 19 indexed citations
10.
Skvara, Hans, et al.. (2012). Combining in vivo reflectance with fluorescence confocal microscopy provides additive information on skin morphology. Dermatology Practical & Conceptual. 2(1). 3–12. 8 indexed citations
11.
Skvara, Hans, et al.. (2011). In vivo fluorescence confocal microscopy: indocyanine green enhances the contrast of epidermal and dermal structures. Journal of Biomedical Optics. 16(9). 96010–96010. 13 indexed citations
12.
Jonak, Constanze, Hans Skvara, Rainer Kunstfeld, Franz Trautinger, & Johannes A. Schmid. (2011). Intradermal Indocyanine Green for In Vivo Fluorescence Laser Scanning Microscopy of Human Skin: A Pilot Study. PLoS ONE. 6(8). e23972–e23972. 26 indexed citations
13.
Stary, Georg, Irene Klein, Wolfgang Bauer, et al.. (2010). Glucocorticosteroids Modify Langerhans Cells To Produce TGF-β and Expand Regulatory T Cells. The Journal of Immunology. 186(1). 103–112. 69 indexed citations
14.
Skvara, Hans, Nikolaus Duschek, & Franz Karlhofer. (2009). De novo tuberculosis during infliximab therapy in a patient with Behçet disease. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 7(7). 616–618. 7 indexed citations
15.
Spazierer, Daniel, Hans Skvara, Markus Dawid, et al.. (2009). T helper 2 biased de novo immune response to Keyhole Limpet Hemocyanin in humans. Clinical & Experimental Allergy. 39(7). 999–1008. 22 indexed citations
16.
Skvara, Hans, Markus Dawid, Barbara Wolff, et al.. (2008). The PKC inhibitor AEB071 may be a therapeutic option for psoriasis. Journal of Clinical Investigation. 118(9). 3151–3159. 128 indexed citations
17.
Skvara, Hans, et al.. (2005). Limitations of Dermoscopy in the Recognition of Melanoma. Archives of Dermatology. 141(2). 155–60. 142 indexed citations
18.
Skvara, Hans, Christiane Thallinger, Volker Wacheck, et al.. (2005). Mcl-1 blocks radiation-induced apoptosis and inhibits clonogenic cell death.. PubMed. 25(4). 2697–703. 34 indexed citations
19.
Thallinger, Christiane, Markus Wolschek, Hans Skvara, et al.. (2004). Mcl-1 Is a Novel Therapeutic Target for Human Sarcoma. Clinical Cancer Research. 10(12). 4185–4191. 52 indexed citations
20.
Aichberger, Karl J., Matthias Mayerhofer, Maria‐Theresa Krauth, et al.. (2004). Identification of mcl-1 as a BCR/ABL-dependent target in chronic myeloid leukemia (CML): evidence for cooperative antileukemic effects of imatinib and mcl-1 antisense oligonucleotides. Blood. 105(8). 3303–3311. 201 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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