Unbiased Stereology: Three-Dimensional Measurement in Microscopy
Impact in
- Authors
- C. V. HowardMatthew Reed
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w62867326 →Countries where authors are citing Unbiased Stereology: Three-Dimensional Measurement in Microscopy
This map shows the geographic impact of Unbiased Stereology: Three-Dimensional Measurement in Microscopy. 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 Unbiased Stereology: Three-Dimensional Measurement in Microscopy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Unbiased Stereology: Three-Dimensional Measurement in Microscopy more than expected).
Fields of papers citing Unbiased Stereology: Three-Dimensional Measurement in Microscopy
This network shows the impact of Unbiased Stereology: Three-Dimensional Measurement in Microscopy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Unbiased Stereology: Three-Dimensional Measurement in Microscopy.
About Unbiased Stereology: Three-Dimensional Measurement in Microscopy
This paper, published in 1998, received 1.0k indexed citations . Written by C. V. Howard and Matthew Reed. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (161 citations), Molecular Biology (161 citations), Applied Mathematics (126 citations), Cognitive Neuroscience (106 citations) and Physiology (91 citations). Published in Medical Entomology and Zoology.
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/w62867326.