Meik Kunz

1.9k total citations
58 papers, 894 citations indexed

About

Meik Kunz is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Meik Kunz has authored 58 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Meik Kunz's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (6 papers) and Systemic Sclerosis and Related Diseases (6 papers). Meik Kunz is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (6 papers) and Systemic Sclerosis and Related Diseases (6 papers). Meik Kunz collaborates with scholars based in Germany, United Kingdom and China. Meik Kunz's co-authors include Thomas Dandekar, Muhammad Naseem, Maximilian Fuchs, Thomas Thum, Ke Xiao, Jan Fiedler, M. Goebeler, Kerstin Steinbrink, Cord Sunderkötter and Georg Meinardus‐Hager and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Meik Kunz

54 papers receiving 886 citations

Peers

Meik Kunz
Jun Fu China
Alexandre Kauskot France
Haoran Feng China
Vaggelis Harokopos Greece
Xiaoming Liu China
Miriam Wankell Australia
Anoop Singh Chauhan India
Hongye Fan China
Jun Fu China
Meik Kunz
Citations per year, relative to Meik Kunz Meik Kunz (= 1×) peers Jun Fu

Countries citing papers authored by Meik Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Meik Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meik Kunz

This figure shows the co-authorship network connecting the top 25 collaborators of Meik Kunz. A scholar is included among the top collaborators of Meik Kunz 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 Meik Kunz. Meik Kunz 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.
Trinh‐Minh, Thuong, Andrea‐Hermina Györfi, Xiang Zhou, et al.. (2025). Antifibrotic effects of specific targeting of the 5‐hydroxytryptamine 2B receptor (5‐HT2BR) in murine models and ex vivo models of scleroderma skin. Arthritis & Rheumatology. 77(8). 1063–1076. 2 indexed citations
2.
Rattik, Sara, Xiang Zhou, Yinan Li, et al.. (2024). Combined inhibition of IL-1, IL-33 and IL-36 signalling by targeting IL1RAP ameliorates skin and lung fibrosis in preclinical models of systemic sclerosis. Annals of the Rheumatic Diseases. 83(9). 1156–1168. 16 indexed citations
3.
Liang, Minrui, Andrea‐Hermina Györfi, Yinan Li, et al.. (2024). Attenuation of fibroblast activation and fibrosis by adropin in systemic sclerosis. Science Translational Medicine. 16(740). eadd6570–eadd6570. 16 indexed citations
4.
Manoochehri, Mehdi, et al.. (2024). Individualized neoantigen peptide immunization of a metastatic pancreatic cancer patient: a case report of combined tumor and liquid biopsy. Frontiers in Immunology. 15. 1414737–1414737. 2 indexed citations
5.
Baranes, Koby, S.M. Jamshedur Rahman, Wei‐Li Kuan, et al.. (2023). Transcription factor combinations that define human astrocyte identity encode significant variation of maturity and function. Glia. 71(8). 1870–1889. 8 indexed citations
6.
Royzman, Dmytro, Lena Stich, Andreas B. Wild, et al.. (2022). Soluble CD83 improves and accelerates wound healing by the induction of pro-resolving macrophages. Frontiers in Immunology. 13. 1012647–1012647. 8 indexed citations
7.
Lehmann, Christian H.K., Ariawan Purbojo, Chunguang Liang, et al.. (2021). Select hyperactivating NLRP3 ligands enhance the T H 1- and T H 17-inducing potential of human type 2 conventional dendritic cells. Science Signaling. 14(680). 43 indexed citations
8.
Györfi, Andrea‐Hermina, Alexandru‐Emil Matei, Maximilian Fuchs, et al.. (2021). Engrailed 1 coordinates cytoskeletal reorganization to induce myofibroblast differentiation. The Journal of Experimental Medicine. 218(9). 33 indexed citations
9.
Stoll, Andrej, Heiko Bruns, Maximilian Fuchs, et al.. (2021). CD137 (4-1BB) stimulation leads to metabolic and functional reprogramming of human monocytes/macrophages enhancing their tumoricidal activity. Leukemia. 35(12). 3482–3496. 29 indexed citations
10.
Kurlbaum, Max, Timo Deutschbein, Mirko Peitzsch, et al.. (2021). Plasma Metabolome Profiling for the Diagnosis of Catecholamine Producing Tumors. Frontiers in Endocrinology. 12. 722656–722656. 8 indexed citations
11.
Kunz, Meik, et al.. (2021). A translational study: Involvement of miR-21-5p in development and maintenance of neuropathic pain via immune-related targets CCL5 and YWHAE. Experimental Neurology. 347. 113915–113915. 10 indexed citations
12.
Fuchs, Maximilian, Lorenz A. Kapsner, Annette Just, et al.. (2020). Integrative Bioinformatic Analyses of Global Transcriptome Data Decipher Novel Molecular Insights into Cardiac Anti-Fibrotic Therapies. International Journal of Molecular Sciences. 21(13). 4727–4727. 14 indexed citations
13.
14.
Temme, Sebastian, Daniela Friebe, Gereon Poschmann, et al.. (2017). Genetic profiling and surface proteome analysis of human atrial stromal cells and rat ventricular epicardium-derived cells reveals novel insights into their cardiogenic potential. Stem Cell Research. 25. 183–190. 4 indexed citations
15.
Kunz, Meik, Thomas Dandekar, & Muhammad Naseem. (2017). A Systems Biology Methodology Combining Transcriptome and Interactome Datasets to Assess the Implications of Cytokinin Signaling for Plant Immune Networks. Methods in molecular biology. 1569. 165–173. 4 indexed citations
16.
Göttlich, Claudia, Meik Kunz, F. Schmitt, et al.. (2016). A Combined 3D Tissue Engineered <em>In Vitro</em>/<em>In Silico</em> Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds. Journal of Visualized Experiments. e53885–e53885. 19 indexed citations
17.
Naseem, Muhammad, et al.. (2013). Integration of boolean models on hormonal interactions and prospects of cytokinin-auxin crosstalk in plant immunity. Plant Signaling & Behavior. 8(4). e23890–e23890. 2 indexed citations
18.
Trcka, Jiri & Meik Kunz. (2006). Functional Genome and Proteome Analyses of Cutaneous Autoimmune Diseases. Current Pharmaceutical Design. 12(29). 3787–98. 4 indexed citations
19.
Meyer, Thomas J., et al.. (1998). Detection of Human Papillomavirus Type 35 in a Nodular Cutaneous Tumor in a Patient Infected with Human Immunodeficiency Virus. Clinical Infectious Diseases. 26(2). 507–508. 1 indexed citations
20.
Sunderkötter, Cord, Meik Kunz, Kerstin Steinbrink, et al.. (1993). Resistance of mice to experimental leishmaniasis is associated with more rapid appearance of mature macrophages in vitro and in vivo.. The Journal of Immunology. 151(9). 4891–4901. 99 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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