Uta Pich

26 papers and 940 indexed citations i.

About

Uta Pich is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Uta Pich has authored 26 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Uta Pich’s work include Chromosomal and Genetic Variations (15 papers), Genetic and Environmental Crop Studies (7 papers) and Plant Genetic and Mutation Studies (5 papers). Uta Pich is often cited by papers focused on Chromosomal and Genetic Variations (15 papers), Genetic and Environmental Crop Studies (7 papers) and Plant Genetic and Mutation Studies (5 papers). Uta Pich collaborates with scholars based in Germany, Czechia and Italy. Uta Pich's co-authors include Ingo Schubert, Jörg Fuchs, Armin Meister, Kaomei Guan, Anna M. Wobus, Andreas Houben, Svetlana G. Vassilieva, Jir̆ı́ Macas, Sergio Lucretti and Jaroslav Doležel and has published in prestigious journals such as Nucleic Acids Research, The Plant Journal and Experimental Cell Research.

In The Last Decade

Co-authorship network of co-authors of Uta Pich i

Fields of papers citing papers by Uta Pich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uta Pich

Since Specialization
Citations

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