Florian Meisgen

2.3k total citations
18 papers, 1.7k citations indexed

About

Florian Meisgen is a scholar working on Cancer Research, Immunology and Oncology. According to data from OpenAlex, Florian Meisgen has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 9 papers in Immunology and 7 papers in Oncology. Recurrent topics in Florian Meisgen's work include MicroRNA in disease regulation (8 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Psoriasis: Treatment and Pathogenesis (5 papers). Florian Meisgen is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Psoriasis: Treatment and Pathogenesis (5 papers). Florian Meisgen collaborates with scholars based in Sweden, China and Germany. Florian Meisgen's co-authors include Andor Pivarcsi, Enikö Sonkoly, Mona Ståhle, Ning Xu, Aoxue Wang, Dongqing Li, Tianling Wei, Bernhard Homey, Liv Eidsmo and Warangkana Lohcharoenkal and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Florian Meisgen

18 papers receiving 1.6k citations

Peers

Florian Meisgen

IMMUN

ONCOL

DERMA

Tianling Wei Sweden

Axel Szabowski Germany

Yan Teng China

Jean‐Claude Monboisse France

Dany Nassar France

Nam‐ho Huh Japan

Allen G. Li United States

Peter Kurschat Germany

Karine Lefort Switzerland

Shengping Huang United States

Tianling Wei Sweden

Florian Meisgen

690 ×0.9

714 ×1.0

520 ×0.9

IMMUN

263 ×0.8

ONCOL

239 ×1.0

DERMA

Citations per year, relative to Florian Meisgen Florian Meisgen (= 1×) peers Tianling Wei

Countries citing papers authored by Florian Meisgen

Since Specialization

Citations

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

Fields of papers citing papers by Florian Meisgen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Meisgen

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

All Works

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18 of 18 papers shown

Meisgen, Florian, et al.. (2023). Validation of the prognostic value of a three‐gene signature and clinical parameters‐based risk score in prostate cancer patients. The Prostate. 83(12). 1133–1140. 4 indexed citations

Srivastava, Ankit, Longlong Luo, Warangkana Lohcharoenkal, et al.. (2021). Cross-talk between IFN-γ and TWEAK through miR-149 amplifies skin inflammation in psoriasis. Journal of Allergy and Clinical Immunology. 147(6). 2225–2235. 43 indexed citations

Srivastava, Ankit, Florian Meisgen, Lorenzo Pasquali, et al.. (2019). 362 MiR-1307 is upregulated in psoriasis keratinocytes and promotes keratinocyte inflammatory response. Journal of Investigative Dermatology. 139(9). S277–S277. 3 indexed citations

Pasquali, Lorenzo, Ankit Srivastava, Florian Meisgen, et al.. (2018). The Keratinocyte Transcriptome in Psoriasis: Pathways Related to Immune Responses, Cell Cycle and Keratinization. Acta Dermato Venereologica. 99(2). 196–205. 52 indexed citations

Srivastava, Ankit, Pernilla Nikamo, Warangkana Lohcharoenkal, et al.. (2016). MicroRNA-146a suppresses IL-17–mediated skin inflammation and is genetically associated with psoriasis. Journal of Allergy and Clinical Immunology. 139(2). 550–561. 109 indexed citations

Lohcharoenkal, Warangkana, Masako Harada, Jakob Lovén, et al.. (2016). MicroRNA-203 Inversely Correlates with Differentiation Grade, Targets c-MYC, and Functions as a Tumor Suppressor in cSCC. Journal of Investigative Dermatology. 136(12). 2485–2494. 32 indexed citations

Srivastava, Ankit, et al.. (2016). 384 MicroRNA-146a suppresses IL-17-mediated skin inflammation and is genetically associated with psoriasis. Journal of Investigative Dermatology. 136(9). S226–S226. 7 indexed citations

Li, Dongqing, Aoxue Wang, Florian Meisgen, et al.. (2015). MicroRNA-31 Promotes Skin Wound Healing by Enhancing Keratinocyte Proliferation and Migration. Journal of Investigative Dermatology. 135(6). 1676–1685. 131 indexed citations

Li, Dongqing, Aoxue Wang, Xi Liu, et al.. (2015). MicroRNA-132 enhances transition from inflammation to proliferation during wound healing. Journal of Clinical Investigation. 125(8). 3008–3026. 177 indexed citations

10.

Meisgen, Florian, Ning Xu, Aoxue Wang, et al.. (2014). MiR-146a Negatively Regulates TLR2-Induced Inflammatory Responses in Keratinocytes. Journal of Investigative Dermatology. 134(7). 1931–1940. 97 indexed citations

11.

Wang, Aoxue, Ning Xu, Florian Meisgen, et al.. (2014). MicroRNA-31 Is Overexpressed in Cutaneous Squamous Cell Carcinoma and Regulates Cell Motility and Colony Formation Ability of Tumor Cells. PLoS ONE. 9(7). e103206–e103206. 56 indexed citations

12.

Wei, Tianling, Ning Xu, Florian Meisgen, et al.. (2013). Interleukin-8 is regulated by miR-203 at the posttranscriptional level in primary human keratinocytes.. PubMed. 29 indexed citations

13.

Pivarcsi, Andor, Florian Meisgen, Ning Xu, Mona Ståhle, & Enikö Sonkoly. (2013). Changes in the level of serum microRNAs in patients with psoriasis after antitumour necrosis factor-α therapy. British Journal of Dermatology. 169(3). 563–570. 76 indexed citations

14.

Xu, Ning, Lingyun Zhang, Florian Meisgen, et al.. (2012). MicroRNA-125b Down-regulates Matrix Metallopeptidase 13 and Inhibits Cutaneous Squamous Cell Carcinoma Cell Proliferation, Migration, and Invasion. Journal of Biological Chemistry. 287(35). 29899–29908. 150 indexed citations

15.

Sonkoly, Enikö, Jakob Lovén, Ning Xu, et al.. (2012). MicroRNA-203 functions as a tumor suppressor in basal cell carcinoma. Oncogenesis. 1(3). e3–e3. 83 indexed citations

16.

Xu, Ning, Florian Meisgen, Lynn M. Butler, et al.. (2012). MicroRNA-31 Is Overexpressed in Psoriasis and Modulates Inflammatory Cytokine and Chemokine Production in Keratinocytes via Targeting Serine/Threonine Kinase 40. The Journal of Immunology. 190(2). 678–688. 168 indexed citations

17.

Xu, Ning, Petter Brodin, Tianling Wei, et al.. (2011). MiR-125b, a MicroRNA Downregulated in Psoriasis, Modulates Keratinocyte Proliferation by Targeting FGFR2. Journal of Investigative Dermatology. 131(7). 1521–1529. 180 indexed citations

18.

Sonkoly, Enikö, Peter Janson, Marja‐Leena Majuri, et al.. (2010). MiR-155 is overexpressed in patients with atopic dermatitis and modulates T-cell proliferative responses by targeting cytotoxic T lymphocyte–associated antigen 4. Journal of Allergy and Clinical Immunology. 126(3). 581–589.e20. 260 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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