Christina Kunz

56 papers and 1.4k indexed citations i.

About

Christina Kunz is a scholar working on Hematology, Epidemiology and Molecular Biology. According to data from OpenAlex, Christina Kunz has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 16 papers in Epidemiology and 14 papers in Molecular Biology. Recurrent topics in Christina Kunz’s work include Multiple Myeloma Research and Treatments (14 papers), Trypanosoma species research and implications (7 papers) and Research on Leishmaniasis Studies (6 papers). Christina Kunz is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Trypanosoma species research and implications (7 papers) and Research on Leishmaniasis Studies (6 papers). Christina Kunz collaborates with scholars based in Germany, Switzerland and Austria. Christina Kunz's co-authors include R. Brun, Reto Brun, Anthony D. Ho, Dietmar von der Ahe, Axel Benner, Hartmut Goldschmidt, Dirk Hose, Reto Schumacher, C. Burri and Cécile Schmid and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

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

Fields of papers citing papers by Christina Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christina Kunz

Since Specialization
Citations

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