Nina Gratz

905 total citations
11 papers, 711 citations indexed

About

Nina Gratz is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Nina Gratz has authored 11 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Nina Gratz's work include Immune Response and Inflammation (5 papers), Streptococcal Infections and Treatments (3 papers) and Inflammasome and immune disorders (3 papers). Nina Gratz is often cited by papers focused on Immune Response and Inflammation (5 papers), Streptococcal Infections and Treatments (3 papers) and Inflammasome and immune disorders (3 papers). Nina Gratz collaborates with scholars based in Austria, United States and Germany. Nina Gratz's co-authors include Pavel Kovarik, Andreas Roetzer, Franz Kratochvill, Elaine Tuomanen, Alexandra Schubert‐Unkmeir, Peter Valentin‐Weigand, Brandon J. Kim, Nemani V. Prasadarao, Kelly S. Doran and Marcus Fulde 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

Nina Gratz

11 papers receiving 705 citations

Peers

Nina Gratz

MB

IMMUN

ID

EPIDE

PHEOH

Youhui Si China

Evlambia Harokopakis United States

Maria Letizia Giardino Torchia United States

Timothy J. LaRocca United States

Kayan Tam United States

Leigh A. Baxt United States

Barbara Bodendorfer Germany

Wiebke Beermann Germany

Christophe J. Queval France

Lianqiang Feng China

Youhui Si China

Nina Gratz

305 ×1.0

MB

226 ×0.9

IMMUN

143 ×0.7

ID

133 ×0.6

EPIDE

117 ×0.8

PHEOH

Citations per year, relative to Nina Gratz Nina Gratz (= 1×) peers Youhui Si

Countries citing papers authored by Nina Gratz

Since Specialization

Citations

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

Fields of papers citing papers by Nina Gratz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gratz

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Ebner, Florian, Vitaly Sedlyarov, Saren Tasciyan, et al.. (2017). The RNA-binding protein tristetraprolin schedules apoptosis of pathogen-engaged neutrophils during bacterial infection. Journal of Clinical Investigation. 127(6). 2051–2065. 27 indexed citations

2.

Gratz, Nina, Beth Mann, Geli Gao, et al.. (2017). Pneumococcal neuraminidase activates TGF-β signalling. Microbiology. 163(8). 1198–1207. 19 indexed citations

3.

Doran, Kelly S., Marcus Fulde, Nina Gratz, et al.. (2016). Host–pathogen interactions in bacterial meningitis. Acta Neuropathologica. 131(2). 185–209. 136 indexed citations

4.

Gamradt, Pia, Yun Xu, Nina Gratz, et al.. (2016). The Influence of Programmed Cell Death in Myeloid Cells on Host Resilience to Infection with Legionella pneumophila or Streptococcus pyogenes. PLoS Pathogens. 12(12). e1006032–e1006032. 11 indexed citations

5.

Kratochvill, Franz, Nina Gratz, Joseph E. Qualls, et al.. (2015). Tristetraprolin Limits Inflammatory Cytokine Production in Tumor-Associated Macrophages in an mRNA Decay–Independent Manner. Cancer Research. 75(15). 3054–3064. 36 indexed citations

6.

Fieber, Christina, Tina Koestler, Nina Gratz, et al.. (2015). Innate Immune Response to Streptococcus pyogenes Depends on the Combined Activation of TLR13 and TLR2. PLoS ONE. 10(3). e0119727–e0119727. 35 indexed citations

7.

Gratz, Nina, Harald Hartweger, Ulrich Matt, et al.. (2011). Type I Interferon Production Induced by Streptococcus pyogenes-Derived Nucleic Acids Is Required for Host Protection. PLoS Pathogens. 7(5). e1001345–e1001345. 103 indexed citations

8.

Roetzer, Andreas, Nina Gratz, Marina Marcet‐Houben, et al.. (2010). Regulation ofCandida glabrataoxidative stress resistance is adapted to host environment. FEBS Letters. 585(2). 319–327. 71 indexed citations

9.

Kratochvill, Franz, Nina Gratz, Ines Sauer, et al.. (2009). Tristetraprolin Is Required for Full Anti-Inflammatory Response of Murine Macrophages to IL-10. The Journal of Immunology. 183(2). 1197–1206. 86 indexed citations

10.

Roetzer, Andreas, et al.. (2009). Autophagy supportsCandida glabratasurvival during phagocytosis. Cellular Microbiology. 12(2). 199–216. 112 indexed citations

11.

Gratz, Nina, María Siller, Zaid Ahmed Pirzada, et al.. (2008). Group A Streptococcus Activates Type I Interferon Production and MyD88-dependent Signaling without Involvement of TLR2, TLR4, and TLR9. Journal of Biological Chemistry. 283(29). 19879–19887. 75 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.

Explore authors with similar magnitude of impact