V. Kafka

9 papers and 29 indexed citations i.

About

V. Kafka is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, V. Kafka has authored 9 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Molecular Biology and 1 paper in Immunology. Recurrent topics in V. Kafka’s work include History of Medicine Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Neurological and metabolic disorders (1 paper). V. Kafka is often cited by papers focused on History of Medicine Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Neurological and metabolic disorders (1 paper). V. Kafka collaborates with scholars based in and . V. Kafka's co-authors include Jiří Musil and F. Šorm and has published in prestigious journals such as Journal of Neurology, Gynecologic and Obstetric Investigation and PubMed.

In The Last Decade

Co-authorship network of co-authors of V. Kafka i

Fields of papers citing papers by V. Kafka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by V. Kafka

Since Specialization
Citations

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