Tina Wiesner

7 papers and 269 indexed citations i.

About

Tina Wiesner is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tina Wiesner has authored 7 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Tina Wiesner’s work include Chemokine receptors and signaling (3 papers), Immune Response and Inflammation (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). Tina Wiesner is often cited by papers focused on Chemokine receptors and signaling (3 papers), Immune Response and Inflammation (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). Tina Wiesner collaborates with scholars based in Germany, United Kingdom and Switzerland. Tina Wiesner's co-authors include Lothar Kanz, Hans‐Georg Kopp, Andreas M. Boehmler, Gabriele Seitz, Robert Möhle, Takafumi Kimura, Selim Kuçi, Volker Brinkmann, Frank Mayer and Jörg T. Hartmann and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

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

Fields of papers citing papers by Tina Wiesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tina Wiesner

Since Specialization
Citations

This map shows the geographic impact of Tina Wiesner'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 Wiesner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Wiesner 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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2025