Eva Maria Putz

2.6k total citations
40 papers, 1.5k citations indexed

About

Eva Maria Putz is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Eva Maria Putz has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 23 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Eva Maria Putz's work include Immune Cell Function and Interaction (24 papers), Cytokine Signaling Pathways and Interactions (11 papers) and CAR-T cell therapy research (8 papers). Eva Maria Putz is often cited by papers focused on Immune Cell Function and Interaction (24 papers), Cytokine Signaling Pathways and Interactions (11 papers) and CAR-T cell therapy research (8 papers). Eva Maria Putz collaborates with scholars based in Austria, Germany and Australia. Eva Maria Putz's co-authors include Veronika Sexl, Dagmar Gotthardt, Mark J. Smyth, Mathias Müller, Jana Trifinopoulos, Birgit Strobl, Elisabeth Straka, Michaela Prchal‐Murphy, Geoffrey R. Hill and Fernando Souza-Fonseca-Guimarães and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Eva Maria Putz

37 papers receiving 1.5k citations

Peers

Eva Maria Putz
Jahan S. Khalili United States
Eva Sahakian United States
Fengdong Cheng United States
Danielle L. Gilvary United States
Justin A. Shyer United States
Sheng F. Cai United States
Jahan S. Khalili United States
Eva Maria Putz
Citations per year, relative to Eva Maria Putz Eva Maria Putz (= 1×) peers Jahan S. Khalili

Countries citing papers authored by Eva Maria Putz

Since Specialization
Citations

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

Fields of papers citing papers by Eva Maria Putz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maria Putz. 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 Eva Maria Putz. The network helps show where Eva Maria Putz may publish in the future.

Co-authorship network of co-authors of Eva Maria Putz

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maria Putz. A scholar is included among the top collaborators of Eva Maria Putz 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 Eva Maria Putz. Eva Maria Putz 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.
Prchal‐Murphy, Michaela, Marlene Fischer, Madeleine Themanns, et al.. (2025). Repurposing the prostaglandin analogue treprostinil and the calcium-sensing receptor modulator cinacalcet to revive cord blood as an alternate source of hematopoietic stem and progenitor cells for transplantation. Frontiers in Pharmacology. 15. 1444311–1444311. 1 indexed citations
2.
Putz, Eva Maria, et al.. (2025). The H-NS homologues MvaT and MvaU repress CRISPR-Cas in Pseudomonas aeruginosa. Philosophical Transactions of the Royal Society B Biological Sciences. 380(1934). 20240073–20240073.
3.
Hu, Jing, Eva Maria Putz, Simin Zheng, et al.. (2023). NMDAR antagonists suppress tumor progression by regulating tumor-associated macrophages. Proceedings of the National Academy of Sciences. 120(47). e2302126120–e2302126120. 17 indexed citations
4.
Putz, Eva Maria, Attila Kiss, Bruno K. Podesser, et al.. (2023). The type of suture material affects transverse aortic constriction-induced heart failure development in mice: a repeated measures correlation analysis. Frontiers in Cardiovascular Medicine. 10. 1242763–1242763.
5.
Salzer, Benjamin, Charlotte U. Zajc, Timo Peters, et al.. (2020). Engineering AvidCARs for combinatorial antigen recognition and reversible control of CAR function. Nature Communications. 11(1). 4166–4166. 68 indexed citations
6.
Gotthardt, Dagmar, Jana Trifinopoulos, Veronika Sexl, & Eva Maria Putz. (2019). JAK/STAT Cytokine Signaling at the Crossroad of NK Cell Development and Maturation. Frontiers in Immunology. 10. 2590–2590. 152 indexed citations
7.
Witalisz‐Siepracka, Agnieszka, et al.. (2018). NK Cell–Specific CDK8 Deletion Enhances Antitumor Responses. Cancer Immunology Research. 6(4). 458–466. 31 indexed citations
8.
Nakamura, Kyohei, Sahar Kassem, Alice Cleynen, et al.. (2018). Dysregulated IL-18 Is a Key Driver of Immunosuppression and a Possible Therapeutic Target in the Multiple Myeloma Microenvironment. Cancer Cell. 33(4). 634–648.e5. 167 indexed citations
9.
Mittal, Deepak, Dipti Vijayan, Eva Maria Putz, et al.. (2017). Interleukin-12 from CD103+ Batf3-Dependent Dendritic Cells Required for NK-Cell Suppression of Metastasis. Cancer Immunology Research. 5(12). 1098–1108. 103 indexed citations
10.
Putz, Eva Maria, Camille Guillerey, Kevin Kos, et al.. (2017). Targeting cytokine signaling checkpoint CIS activates NK cells to protect from tumor initiation and metastasis. OncoImmunology. 6(2). e1267892–e1267892. 48 indexed citations
11.
Gotthardt, Dagmar, Eva Maria Putz, Eva Grundschober, et al.. (2016). STAT5 Is a Key Regulator in NK Cells and Acts as a Molecular Switch from Tumor Surveillance to Tumor Promotion. Cancer Discovery. 6(4). 414–429. 123 indexed citations
12.
Klose, Ralph, Ewelina Krzywińska, Magali Castells, et al.. (2016). Targeting VEGF-A in myeloid cells enhances natural killer cell responses to chemotherapy and ameliorates cachexia. Nature Communications. 7(1). 12528–12528. 32 indexed citations
13.
Putz, Eva Maria, Dagmar Gotthardt, & Veronika Sexl. (2014). STAT1-S727 - the license to kill. OncoImmunology. 3(9). e955441–e955441. 9 indexed citations
14.
Kastner, Renate, Sebastian Wienerroither, Caroline Lassnig, et al.. (2013). The Tyrosine Kinase Btk Regulates the Macrophage Response to Listeria monocytogenes Infection. PLoS ONE. 8(3). e60476–e60476. 13 indexed citations
15.
Berger, Angelika, Andrea Hoelbl‐Kovacic, Jérôme Bourgeais, et al.. (2013). PAK-dependent STAT5 serine phosphorylation is required for BCR-ABL-induced leukemogenesis. Leukemia. 28(3). 629–641. 46 indexed citations
16.
Putz, Eva Maria, Dagmar Gotthardt, Gregor Hoermann, et al.. (2013). CDK8-Mediated STAT1-S727 Phosphorylation Restrains NK Cell Cytotoxicity and Tumor Surveillance. Cell Reports. 4(3). 437–444. 95 indexed citations
17.
Mizutani, Tatsuaki, Eva Maria Putz, Nadine Moritz, et al.. (2012). Conditional IFNAR1 ablation reveals distinct requirements of Type I IFN signaling for NK cell maturation and tumor surveillance. OncoImmunology. 1(7). 1027–1037. 49 indexed citations
18.
Vitale, Arturo A., et al.. (2011). In Vivo Long-Term Kinetics of Radiolabeled N,N-Dimethyltryptamine and Tryptamine. Journal of Nuclear Medicine. 52(6). 970–977. 30 indexed citations
19.
Müller, Markus, et al.. (1998). Comparison of three different experimental methods for the assessment of peripheral compartment pharmacokinetics in humans. Life Sciences. 62(15). PL227–PL234. 33 indexed citations
20.
Rappersberger, Klemens, Josef G. Meingassner, Dagmar Födinger, et al.. (1996). Clearing of Psoriasis by a Novel Immunosuppressive Macrolide. Journal of Investigative Dermatology. 106(4). 701–710. 52 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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