KDIGO Clinical Practice Guideline for Glomerulonephritis

746 indexed citations
published 2012

Impact in

Classified as

Countries where authors are citing KDIGO Clinical Practice Guideline for Glomerulonephritis

Specialization
Citations

This map shows the geographic impact of KDIGO Clinical Practice Guideline for Glomerulonephritis. 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 KDIGO Clinical Practice Guideline for Glomerulonephritis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KDIGO Clinical Practice Guideline for Glomerulonephritis more than expected).

Fields of papers citing KDIGO Clinical Practice Guideline for Glomerulonephritis

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of KDIGO Clinical Practice Guideline for Glomerulonephritis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the KDIGO Clinical Practice Guideline for Glomerulonephritis.

About KDIGO Clinical Practice Guideline for Glomerulonephritis

This paper, published in 2012, received 746 indexed citations . Written by Kai‐Uwe Eckardt and Bertram L. Kasiske covering the research area of Nephrology. It is primarily cited by scholars working on Nephrology (504 citations), Rheumatology (81 citations), Pulmonary and Respiratory Medicine (40 citations), Epidemiology (8 citations) and Immunology (6 citations).

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.

This paper is also available at doi.org/w3094568071.

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