Nina Gratz

23 total papers · 900 total citations
11 papers, 708 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 708 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, Roland Nau, Marcus Fulde, Alexandra Schubert‐Unkmeir, Brandon J. Kim, Peter Valentin‐Weigand and Kelly S. Doran 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 703 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Gratz 311 242 210 207 141 11 708
Krzysztof Guzik 375 1.2× 258 1.1× 265 1.3× 100 0.5× 58 0.4× 20 767
Takane Kikuchi 146 0.5× 439 1.8× 137 0.7× 171 0.8× 88 0.6× 20 835
Martin A. Bewley 260 0.8× 279 1.2× 125 0.6× 220 1.1× 51 0.4× 14 742
Warrison A. Andrade 411 1.3× 437 1.8× 126 0.6× 210 1.0× 215 1.5× 23 887
Evlambia Harokopakis 188 0.6× 509 2.1× 98 0.5× 110 0.5× 221 1.6× 13 909
Cecilia A. Hinojosa 275 0.9× 162 0.7× 91 0.4× 268 1.3× 115 0.8× 16 662
Kazuki Tawaratsumida 284 0.9× 447 1.8× 270 1.3× 153 0.7× 120 0.9× 11 816
Maria Letizia Giardino Torchia 496 1.6× 269 1.1× 153 0.7× 112 0.5× 25 0.2× 16 825
Constantinos Brikos 350 1.1× 333 1.4× 82 0.4× 86 0.4× 43 0.3× 8 717
Kate J. Howell 279 0.9× 158 0.7× 113 0.5× 79 0.4× 165 1.2× 13 823

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

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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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