Riva Eichner

21 papers and 2.9k indexed citations i.

About

Riva Eichner is a scholar working on Cell Biology, Urology and Molecular Biology. According to data from OpenAlex, Riva Eichner has authored 21 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cell Biology, 9 papers in Urology and 6 papers in Molecular Biology. Recurrent topics in Riva Eichner’s work include Biology and Pathology of Keratins and Related Disorders (15 papers), Regulation and Function of Hair Follicle Stem Cells (9 papers) and melanin and skin pigmentation (7 papers). Riva Eichner is often cited by papers focused on Biology and Pathology of Keratins and Related Disorders (15 papers), Regulation and Function of Hair Follicle Stem Cells (9 papers) and melanin and skin pigmentation (7 papers). Riva Eichner collaborates with scholars based in United States, Switzerland and Australia. Riva Eichner's co-authors include Tung‐Tien Sun, Robert Weiß, William G. Nelson, Janet Woodcock‐Mitchell, Ueli Aebi, Andreas Engel, Joel Rosenbloom, Mikko Järvinen, Alexander Schermer and Scheffer C.G. Tseng and has published in prestigious journals such as The Journal of Cell Biology, Biochemistry and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Riva Eichner i

Fields of papers citing papers by Riva Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Riva Eichner

Since Specialization
Citations

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