Gayla Geering

18 papers and 1.4k indexed citations i.

About

Gayla Geering is a scholar working on Genetics, Immunology and Epidemiology. According to data from OpenAlex, Gayla Geering has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Gayla Geering’s work include Virus-based gene therapy research (10 papers), T-cell and Retrovirus Studies (4 papers) and Viral-associated cancers and disorders (4 papers). Gayla Geering is often cited by papers focused on Virus-based gene therapy research (10 papers), T-cell and Retrovirus Studies (4 papers) and Viral-associated cancers and disorders (4 papers). Gayla Geering collaborates with scholars based in United States, Kenya and Sweden. Gayla Geering's co-authors include Lloyd J. Old, Edward A. Boyse, Étienne de Harven, Herbert F. Oettgen, Peter Clifford, William D. Hardy, Robert C. Nowinski, Barbara Williamson, Tadao Aoki and J. Hilgers and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Gayla Geering i

Fields of papers citing papers by Gayla Geering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gayla Geering. 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 Gayla Geering. The network helps show where Gayla Geering may publish in the future.

Countries citing papers authored by Gayla Geering

Since Specialization
Citations

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