Christian Posch

3.0k total citations
81 papers, 1.5k citations indexed

About

Christian Posch is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Christian Posch has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 27 papers in Oncology and 21 papers in Dermatology. Recurrent topics in Christian Posch's work include Melanoma and MAPK Pathways (15 papers), Cutaneous Melanoma Detection and Management (11 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Christian Posch is often cited by papers focused on Melanoma and MAPK Pathways (15 papers), Cutaneous Melanoma Detection and Management (11 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Christian Posch collaborates with scholars based in Austria, Germany and United States. Christian Posch's co-authors include Igor Vujic, Susana Ortiz‐Urda, Klemens Rappersberger, Martina Sanlorenzo, Babak Itzinger-Monshi, Adil Daud, Álvaro Somoza, Pietro Quaglino, Alfonso Latorre and Chong Ae Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Christian Posch

72 papers receiving 1.4k citations

Peers

Christian Posch
Igor Vujic Austria
Martina Sanlorenzo Italy
Friederike Egberts Germany
Benedetta Belloni Germany
Andrea Forschner Germany
Beloo Mirakhur United States
Travis Vandergriff United States
Brian P. Pollack United States
Georgia M. Beasley United States
Eugen Dhimolea United States
Igor Vujic Austria
Christian Posch
Citations per year, relative to Christian Posch Christian Posch (= 1×) peers Igor Vujic

Countries citing papers authored by Christian Posch

Since Specialization
Citations

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

Fields of papers citing papers by Christian Posch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Posch

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Posch. A scholar is included among the top collaborators of Christian Posch 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 Christian Posch. Christian Posch 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.
Young, Albert T., Mark Gregory, Indra Adrianto, et al.. (2025). Patients with PSOriasis and Suppurative Hidradenitis (PSO-SH) share genetic risk factors and are at risk of increased morbidity. Journal of the American Academy of Dermatology. 92(6). 1303–1311. 1 indexed citations
2.
Camera, Emanuela, Andrea Teufelberger, Theresa Benezeder, et al.. (2024). Loss of ERBB2 and ERBB3 Receptors Impacts Epidermal Differentiation in Mice. Journal of Investigative Dermatology. 145(1). 204–208.e6.
3.
Martins, Christina, Erik Rasbach, Markus V. Heppt, et al.. (2024). Tumor cell–intrinsic PD-1 promotes Merkel cell carcinoma growth by activating downstream mTOR-mitochondrial ROS signaling. Science Advances. 10(3). eadi2012–eadi2012. 14 indexed citations
4.
Becker, Jürgen C., Ambros J. Beer, Thomas Eigentler, et al.. (2023). S2k‐Leitlinie – Merkelzellkarzinom – Update 2022. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 21(3). 305–317. 2 indexed citations
5.
Posch, Christian, et al.. (2023). Automated classification of hidradenitis suppurativa disease severity by convolutional neural network analyses using calibrated clinical images. Journal of the European Academy of Dermatology and Venereology. 38(3). 576–582. 6 indexed citations
6.
Heuser, Christoph, Yuliya Skabytska, Susanne Kaesler, et al.. (2023). Inflammatory Cues Direct Skin-Resident Type 1 Innate Lymphoid Cells to Adopt a Psoriasis-Promoting Identity. SHILAP Revista de lepidopterología. 3(4). 100204–100204. 2 indexed citations
7.
Koch, Lukas, Joanna Mangana, Sofiya Latifyan, et al.. (2021). Real-life use of talimogene laherparepvec (T-VEC) in melanoma patients in centers in Austria, Switzerland and Germany. Journal for ImmunoTherapy of Cancer. 9(2). e001701–e001701. 38 indexed citations
8.
Patel, Ankit, Luke Gammon, Tania Maffucci, et al.. (2020). Targeting p63 Upregulation Abrogates Resistance to MAPK Inhibitors in Melanoma. Cancer Research. 80(12). 2676–2688. 18 indexed citations
9.
Hein, Rebecca, et al.. (2020). Severe thrombocytopenia and excellent response following combined immune checkpoint inhibition for metastatic malignant melanoma. Journal of the European Academy of Dermatology and Venereology. 35(1). e89–e92. 1 indexed citations
10.
Zarbl, Romina, Dennis Niebel, Christian Posch, et al.. (2020). CTLA4 promoter methylation predicts response and progression-free survival in stage IV melanoma treated with anti-CTLA-4 immunotherapy (ipilimumab). Cancer Immunology Immunotherapy. 70(6). 1781–1788. 22 indexed citations
11.
Posch, Christian. (2019). Dermatologie – Die Melange des Cafés. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 17(4). 474–475.
12.
Latorre, Alfonso, et al.. (2017). Recent advances in uveal melanoma treatment. Medicinal Research Reviews. 37(6). 1350–1372. 27 indexed citations
13.
Vujic, Igor, Robert Herman, Martina Sanlorenzo, et al.. (2017). 014 Apremilast in psoriasis - a prospective real-world study. Journal of Investigative Dermatology. 137(10). S195–S195. 11 indexed citations
14.
Sanlorenzo, Martina, Igor Vujic, Christian Posch, et al.. (2016). Oncogenic KIT mutations in different exons lead to specific changes in melanocyte phospho-proteome. Journal of Proteomics. 144. 140–147. 5 indexed citations
15.
Posch, Christian, Igor Vujic, Babak Itzinger-Monshi, et al.. (2016). Searching for the Chokehold of NRAS Mutant Melanoma. Journal of Investigative Dermatology. 136(7). 1330–1336. 12 indexed citations
16.
Posch, Christian, Igor Vujic, Martina Sanlorenzo, et al.. (2015). Combined Inhibition of MEK and Plk1 Has Synergistic Antitumor Activity in NRAS Mutant Melanoma. Journal of Investigative Dermatology. 135(10). 2475–2483. 54 indexed citations
17.
Itzinger-Monshi, Babak, et al.. (2014). Efficacy of intravenous immunoglobulins in livedoid vasculopathy: Long-term follow-up of 11 patients. Journal of the American Academy of Dermatology. 71(4). 738–744. 43 indexed citations
18.
Posch, Christian, W Kaulfersch, & Klemens Rappersberger. (2012). Cryopyrin‐Associated Periodic Syndrome. Pediatric Dermatology. 31(2). 228–231. 10 indexed citations
19.
Posch, Christian, et al.. (2011). Animal‐type melanoma – tumor cell invasion of dermal lymphatics and molecular identification of lymph node metastasis. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 10(1). 38–41. 3 indexed citations
20.
Hecking, Manfred, Alexander Kainz, Martin Schillinger, et al.. (2007). Analysis of liver function in renal transplant recipients undergoing C2-monitoring for cyclosporine. Transplant International. 21(3). 223–233. 2 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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