A simple method for volumetry of organs in quantitative stereology.
Impact in
- Surgery 192
Classified as
- Authors
- W Scherle
- Journal
- PubMed
In The Last Decade
doi.org/w63275772 →Countries where authors are citing A simple method for volumetry of organs in quantitative stereology.
This map shows the geographic impact of A simple method for volumetry of organs in quantitative stereology.. 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 A simple method for volumetry of organs in quantitative stereology. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A simple method for volumetry of organs in quantitative stereology. more than expected).
Fields of papers citing A simple method for volumetry of organs in quantitative stereology.
This network shows the impact of A simple method for volumetry of organs in quantitative stereology.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A simple method for volumetry of organs in quantitative stereology..
About A simple method for volumetry of organs in quantitative stereology.
This paper, published in 1970, received 958 indexed citations . Written by W Scherle covering the research area of Biomedical Engineering. It is primarily cited by scholars working on Pulmonary and Respiratory Medicine (473 citations), Surgery (192 citations), Physiology (127 citations), Molecular Biology (100 citations) and Endocrine and Autonomic Systems (90 citations). Published in PubMed.
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/w63275772.