Risa Peoples

15 papers and 669 indexed citations i.

About

Risa Peoples is a scholar working on Developmental Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Risa Peoples has authored 15 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Developmental Neuroscience, 7 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Risa Peoples’s work include Williams Syndrome Research (8 papers), Genomic variations and chromosomal abnormalities (3 papers) and RNA and protein synthesis mechanisms (2 papers). Risa Peoples is often cited by papers focused on Williams Syndrome Research (8 papers), Genomic variations and chromosomal abnormalities (3 papers) and RNA and protein synthesis mechanisms (2 papers). Risa Peoples collaborates with scholars based in United States, Spain and Saudi Arabia. Risa Peoples's co-authors include Uta Francke, Paige Kaplan, Luis A. Pérez‐Jurado, L.A. Pérez Jurado, Ben C.J. Hamel, Yvonne Franke, Michael J. Cisco, Tamar Paperna, Roel Nusse and Athena Milatovich and has published in prestigious journals such as Journal of the American Chemical Society, Human Molecular Genetics and The American Journal of Human Genetics.

In The Last Decade

Co-authorship network of co-authors of Risa Peoples i

Fields of papers citing papers by Risa Peoples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Risa Peoples

Since Specialization
Citations

This map shows the geographic impact of Risa Peoples'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 Risa Peoples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risa Peoples 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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2025