QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies
- Authors
- W. James Gauderman
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w29993194 →Countries where authors are citing QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies
This map shows the geographic impact of QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies. 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 QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies more than expected).
Fields of papers citing QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies
This network shows the impact of QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies.
About QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies
This paper, published in 2006, received 494 indexed citations . Written by W. James Gauderman. It is primarily cited by scholars working on Genetics (152 citations), Molecular Biology (151 citations) and Physiology (70 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/w29993194.