U Pätzold

35 papers and 288 indexed citations i.

About

U Pätzold is a scholar working on Genetics, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, U Pätzold has authored 35 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 7 papers in Neurology. Recurrent topics in U Pätzold’s work include Multiple Sclerosis Research Studies (6 papers), Glioma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). U Pätzold is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Glioma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). U Pätzold collaborates with scholars based in Germany, Switzerland and Japan. U Pätzold's co-authors include Jürgen Haas, Ulrich Wurster, Paul M. Haller, H. Deicher, E. Stark, M. Sailer, P Engelhardt, P. Krauseneck, J.‐P. Malin and Ludwig Kappos and has published in prestigious journals such as Annals of Neurology, Journal of Neurology and Acta Neurologica Scandinavica.

In The Last Decade

Co-authorship network of co-authors of U Pätzold i

Fields of papers citing papers by U Pätzold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by U Pätzold

Since Specialization
Citations

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