Tina Kunz

16 papers and 366 indexed citations i.

About

Tina Kunz is a scholar working on Molecular Biology, Pharmacology and General Health Professions. According to data from OpenAlex, Tina Kunz has authored 16 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pharmacology and 3 papers in General Health Professions. Recurrent topics in Tina Kunz’s work include Inflammatory mediators and NSAID effects (5 papers), Receptor Mechanisms and Signaling (4 papers) and Health and Medical Studies (3 papers). Tina Kunz is often cited by papers focused on Inflammatory mediators and NSAID effects (5 papers), Receptor Mechanisms and Signaling (4 papers) and Health and Medical Studies (3 papers). Tina Kunz collaborates with scholars based in Germany and Sweden. Tina Kunz's co-authors include Ernst H. Oliw, Lars Hillered, Niklas Marklund, R. Callies, K. Höffken, Philip W. Friederich, K. Possinger, W. Jonat, R. Becher and Christian Byhahn and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Neuroscience and Journal of Neurotrauma.

In The Last Decade

Co-authorship network of co-authors of Tina Kunz i

Fields of papers citing papers by Tina Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tina Kunz

Since Specialization
Citations

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

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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