Nephron Experimental Nephrology

791 papers and 16.4k indexed citations i.

About

The 791 papers published in Nephron Experimental Nephrology in the last decades have received a total of 16.4k indexed citations. Papers published in Nephron Experimental Nephrology usually cover Molecular Biology (352 papers), Nephrology (282 papers) and Surgery (98 papers) specifically the topics of Renal Diseases and Glomerulopathies (148 papers), Renal and related cancers (138 papers) and Chronic Kidney Disease and Diabetes (115 papers). The most active scholars publishing in Nephron Experimental Nephrology are Reiko Inagi, Stuart J. Shankland, Masaomi Nangaku, Mark D. Okusa, Saeed R. Khan, Li L, Gilbert R. Kinsey, Agnes B. Fogo, David T. Denhardt and Mysore K. Phanish.

In The Last Decade

Fields of papers published in Nephron Experimental Nephrology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Nephron Experimental Nephrology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Nephron Experimental Nephrology.

Countries where authors publish in Nephron Experimental Nephrology

Since Specialization
Citations

This map shows the geographic impact of research published in Nephron Experimental Nephrology. 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 papers published in Nephron Experimental Nephrology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nephron Experimental Nephrology 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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