Connie Garland

About

Connie Garland is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Connie Garland has authored 6 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Connie Garland’s work include Neurogenetic and Muscular Disorders Research (3 papers), Global Public Health Policies and Epidemiology (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). Connie Garland is often cited by papers focused on Neurogenetic and Muscular Disorders Research (3 papers), Global Public Health Policies and Epidemiology (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). Connie Garland collaborates with scholars based in United States and Italy. Connie Garland's co-authors include James M. Gray, Jessica O’Hagen, Darryl C. De Vivo, Gilberto Levy, Maryam Oskoui, P. Kaufmann, DeborahL. Wingard, E. Barrett-Connor, L Suarez and Kay‐Tee Khaw and has published in prestigious journals such as Neurology, American Journal of Epidemiology and Muscle & Nerve.

In The Last Decade

Co-authorship network of co-authors of Connie Garland i

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Fields of papers citing papers by Connie Garland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie Garland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Connie Garland. The network helps show where Connie Garland may publish in the future.

Countries citing papers authored by Connie Garland

Since Specialization

Citations

This map shows the geographic impact of Connie Garland's research. 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 Connie Garland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Garland 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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