Eva Kaergel

About

Eva Kaergel is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Molecular Biology. According to data from OpenAlex, Eva Kaergel has authored 6 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Biochemistry and 2 papers in Molecular Biology. Recurrent topics in Eva Kaergel’s work include Hormonal Regulation and Hypertension (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and NF-κB Signaling Pathways (2 papers). Eva Kaergel is often cited by papers focused on Hormonal Regulation and Hypertension (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and NF-κB Signaling Pathways (2 papers). Eva Kaergel collaborates with scholars based in Germany, United States and Japan. Eva Kaergel's co-authors include Erdenechimeg Shagdarsuren, Dominik N. Müller, Wolf‐Hagen Schunck, Horst Honeck, Friedrich C. Luft, Ralf Dechend, Michael Hummel, Claus Scheidereit, Hermann Haller and Anette Fiebeler and has published in prestigious journals such as Blood, Kidney International and Hypertension.

In The Last Decade

Co-authorship network of co-authors of Eva Kaergel i

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Fields of papers citing papers by Eva Kaergel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Kaergel

Since Specialization

Citations

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