Matthias Kieslinger

1.2k total citations
19 papers, 921 citations indexed

About

Matthias Kieslinger is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Matthias Kieslinger has authored 19 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Matthias Kieslinger's work include Cytokine Signaling Pathways and Interactions (6 papers), interferon and immune responses (4 papers) and MicroRNA in disease regulation (3 papers). Matthias Kieslinger is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), interferon and immune responses (4 papers) and MicroRNA in disease regulation (3 papers). Matthias Kieslinger collaborates with scholars based in Germany, Austria and United States. Matthias Kieslinger's co-authors include Rudolf Grosschedl, Hartmut Beug, Thomas Decker, Richard Moriggl, Rodney P. DeKoter, D W Lancki, Harinder Singh, Jagan M.R. Pongubala, Karen L. Reddy and Kay L. Medina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Matthias Kieslinger

19 papers receiving 905 citations

Peers

Matthias Kieslinger

IMMUN

ONCOL

HEMAT

Elisa Lazzari United States

Annabella Procoli Italy

Xiaolong Liu China

Anna Kilbey United Kingdom

Veronica Basso Italy

Luisa Cimmino United States

Thierry Planchenault France

Karin Pike‐Overzet Netherlands

Shingo Nakahata Japan

Linda T. Vo United States

Elisa Lazzari United States

Matthias Kieslinger

652 ×1.4

346 ×1.1

IMMUN

186 ×0.6

ONCOL

240 ×1.7

HEMAT

153 ×1.3

Citations per year, relative to Matthias Kieslinger Matthias Kieslinger (= 1×) peers Elisa Lazzari

Countries citing papers authored by Matthias Kieslinger

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Kieslinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Kieslinger

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

All Works

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19 of 19 papers shown

Kieslinger, Matthias, Nina Kramer, Barbara Pratscher, et al.. (2021). A Recurrent STAT5BN642H Driver Mutation in Feline Alimentary T Cell Lymphoma. Cancers. 13(20). 5238–5238. 5 indexed citations

Kramer, Nina, Barbara Pratscher, André Marcelo Conceição Meneses, et al.. (2020). Generation of Differentiating and Long-Living Intestinal Organoids Reflecting the Cellular Diversity of Canine Intestine. Cells. 9(4). 822–822. 31 indexed citations

Kieslinger, Matthias, et al.. (2019). Companion Animals as Models for Inhibition of STAT3 and STAT5. Cancers. 11(12). 2035–2035. 2 indexed citations

Huang, Yuanchi, Laura Fischer, Min Pan, et al.. (2018). Spatiotemporal patterning of EpCAM is important for murine embryonic endo- and mesodermal differentiation. Scientific Reports. 8(1). 1801–1801. 21 indexed citations

Kieslinger, Matthias, Akihiko Shimono, Christian Peschel, et al.. (2016). Loss of Sfrp2 in the Niche Amplifies Stress-Induced Cellular Responses, and Impairs the In Vivo Regeneration of the Hematopoietic Stem Cell Pool. Stem Cells. 34(9). 2381–2392. 6 indexed citations

Kokkaliaris, Konstantinos D., Erin Drew, Max Endele, et al.. (2016). Identification of factors promoting ex vivo maintenance of mouse hematopoietic stem cells by long-term single-cell quantification. Blood. 128(9). 1181–1192. 32 indexed citations

Kim, Jee-Hee, Tanja Klein‐Rodewald, Mario García‐Domínguez, et al.. (2014). Ebf factors and MyoD cooperate to regulate muscle relaxation via Atp2a1. Nature Communications. 5(1). 3793–3793. 37 indexed citations

Rachner, Tilman D., Stefanie Thiele, Andy Göbel, et al.. (2014). High serum levels of Dickkopf-1 are associated with a poor prognosis in prostate cancer patients. BMC Cancer. 14(1). 649–649. 62 indexed citations

Kim, Jee-Hee, Aurora Badaloni, Ursula Zimber‐Strobl, et al.. (2013). An RNAi-Based Approach to Down-Regulate a Gene Family In Vivo. PLoS ONE. 8(11). e80312–e80312. 2 indexed citations

10.

Kim, Jee-Hee, et al.. (2013). Correction: An RNAi-Based Approach to Down-Regulate a Gene Family In Vivo. PLoS ONE. 8(12). 40 indexed citations

11.

Kieslinger, Matthias, et al.. (2010). Early B Cell Factor 2 Regulates Hematopoietic Stem Cell Homeostasis in a Cell-Nonautonomous Manner. Cell stem cell. 7(4). 496–507. 43 indexed citations

12.

Kieslinger, Matthias, Gergana Dobreva, Tatjana Dorn, et al.. (2005). EBF2 Regulates Osteoblast-Dependent Differentiation of Osteoclasts. Developmental Cell. 9(6). 757–767. 94 indexed citations

13.

Dolznig, Helmut, Florian Grebien, Eva Maria Deiner, et al.. (2005). Erythroid progenitor renewal versus differentiation: genetic evidence for cell autonomous, essential functions of EpoR, Stat5 and the GR. Oncogene. 25(20). 2890–2900. 44 indexed citations

14.

Roth, Wera, Claudio Sustmann, Matthias Kieslinger, et al.. (2004). PIASy-Deficient Mice Display Modest Defects in IFN and Wnt Signaling. The Journal of Immunology. 173(10). 6189–6199. 70 indexed citations

15.

Medina, Kay L., Jagan M.R. Pongubala, Karen L. Reddy, et al.. (2004). Assembling a Gene Regulatory Network for Specification of the B Cell Fate. Developmental Cell. 7(4). 607–617. 182 indexed citations

16.

Kieslinger, Matthias, Richard Moriggl, Johannes Hofmann, et al.. (2000). Antiapoptotic activity ofStat5required during terminal stages of myeloid differentiation. Genes & Development. 14(2). 232–244. 158 indexed citations

17.

Dahl, Richard, Matthias Kieslinger, Hartmut Beug, & Michael J. Hayman. (1998). Transformation of hematopoietic cells by the Ski oncoprotein involves repression of retinoic acid receptor signaling. Proceedings of the National Academy of Sciences. 95(19). 11187–11192. 56 indexed citations

18.

Mellitzer, Georg, et al.. (1997). STAT5 involvement in the differentiation response of primary chicken myeloid progenitor cells to chicken myelomonocytic growth factor. The Journal of Immunology. 159(2). 877–886. 26 indexed citations

19.

Barahmand-Pour, Fariba, Andreas Meinke, Matthias Kieslinger, Andreas Eilers, & Thomas Decker. (1996). A Role for STAT Family Transcription Factors in Myeloid Differentiation. Current topics in microbiology and immunology. 211. 121–128. 10 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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