Karl Katholnig

980 total citations
11 papers, 553 citations indexed

About

Karl Katholnig is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Karl Katholnig has authored 11 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Oncology. Recurrent topics in Karl Katholnig's work include PI3K/AKT/mTOR signaling in cancer (4 papers), Mast cells and histamine (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Karl Katholnig is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (4 papers), Mast cells and histamine (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Karl Katholnig collaborates with scholars based in Austria, Germany and United States. Karl Katholnig's co-authors include Thomas Weichhart, Markus Hengstschläger, Marcus D. Säemann, Gerhard J. Zlabinger, Walter H. Hörl, Chantal Kopecky, Michael Haidinger, Marko Poglitsch, Monika Linke and Hà Phạm and has published in prestigious journals such as Blood, The Journal of Immunology and Journal of the American Society of Nephrology.

In The Last Decade

Karl Katholnig

10 papers receiving 548 citations

Peers

Karl Katholnig

IMMUN

SURGE

EDM

EPIDE

Xue Shao China

Shinsuke Chida Japan

Eszter Trojnár United States

Sophie Patzek United States

Michelle R. Joshi United States

Fei Xiong China

Joon-Young Kim South Korea

Frederick C. deBeer United States

Vidya S. Farook United States

Harrison M. Penrose United States

Xue Shao China

Karl Katholnig

220 ×1.1

117 ×0.6

IMMUN

77 ×0.7

SURGE

39 ×0.4

EDM

175 ×2.0

EPIDE

Citations per year, relative to Karl Katholnig Karl Katholnig (= 1×) peers Xue Shao

Countries citing papers authored by Karl Katholnig

Since Specialization

Citations

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

Fields of papers citing papers by Karl Katholnig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Katholnig

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

All Works

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11 of 11 papers shown

Katholnig, Karl, Christopher C. Kaltenecker, Monika Linke, et al.. (2021). p38 regulates the tumor suppressor PDCD4 via the TSC-mTORC1 pathway. PubMed. 5(12). 176–182. 4 indexed citations

Wilson, Jayne Louise, Thomas Nägele, Monika Linke, et al.. (2020). Inverse Data-Driven Modeling and Multiomics Analysis Reveals Phgdh as a Metabolic Checkpoint of Macrophage Polarization and Proliferation. Cell Reports. 30(5). 1542–1552.e7. 64 indexed citations

Katholnig, Karl, Birgit Schütz, Stephanie Deborah Fritsch, et al.. (2019). Inactivation of mTORC2 in macrophages is a signature of colorectal cancer that promotes tumorigenesis. JCI Insight. 4(20). 18 indexed citations

Katholnig, Karl, Marko Poglitsch, Markus Hengstschläger, & Thomas Weichhart. (2014). Lysis Gradient Centrifugation: A Flexible Method for the Isolation of Nuclei from Primary Cells. Methods in molecular biology. 1228. 15–23. 7 indexed citations

Katholnig, Karl, Christopher C. Kaltenecker, Hiroko Hayakawa, et al.. (2013). p38α Senses Environmental Stress To Control Innate Immune Responses via Mechanistic Target of Rapamycin. The Journal of Immunology. 190(4). 1519–1527. 27 indexed citations

Katholnig, Karl, Monika Linke, Hà Phạm, Markus Hengstschläger, & Thomas Weichhart. (2013). Immune responses of macrophages and dendritic cells regulated by mTOR signalling. Biochemical Society Transactions. 41(4). 927–933. 66 indexed citations

Weichhart, Thomas, Chantal Kopecky, Markus Kubicek, et al.. (2012). Serum Amyloid A in Uremic HDL Promotes Inflammation. Journal of the American Society of Nephrology. 23(5). 934–947. 170 indexed citations

Poglitsch, Marko, Thomas Weichhart, Manfred Hecking, et al.. (2012). CMV Late Phase-Induced mTOR Activation Is Essential for Efficient Virus Replication in Polarized Human Macrophages. American Journal of Transplantation. 12(6). 1458–1468. 66 indexed citations

Poglitsch, Marko, Karl Katholnig, Marcus D. Säemann, & Thomas Weichhart. (2011). Rapid isolation of nuclei from living immune cells by a single centrifugation through a multifunctional lysis gradient. Journal of Immunological Methods. 373(1-2). 167–173. 11 indexed citations

10.

Weichhart, Thomas, Michael Haidinger, Karl Katholnig, et al.. (2011). Inhibition of mTOR blocks the anti-inflammatory effects of glucocorticoids in myeloid immune cells. Blood. 117(16). 4273–4283. 120 indexed citations

11.

Pemp, Berthold, et al.. (2008). Nitroglycerin-Mediated Retinal Vasodilatation Is Maintained in Patients With Diabetes. Investigative Ophthalmology & Visual Science. 49(13). 2088–2088.

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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