Lindsay Guare

1.6k total citations
6 papers, 56 citations indexed

About

Lindsay Guare is a scholar working on Genetics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lindsay Guare has authored 6 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Lindsay Guare's work include Genetic Associations and Epidemiology (2 papers), Nutrition, Genetics, and Disease (1 paper) and Genomics and Rare Diseases (1 paper). Lindsay Guare is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Nutrition, Genetics, and Disease (1 paper) and Genomics and Rare Diseases (1 paper). Lindsay Guare collaborates with scholars based in United States, Netherlands and South Africa. Lindsay Guare's co-authors include Anastasia Lucas, Anurag Verma, Theodore G. Drivas, Nawar Naseer, Emma A. Meagher, Rachel L. Kember, Scott M. Damrauer, Scott Dudek, Renae Judy and Shefali S. Verma and has published in prestigious journals such as Nature Communications, Thyroid and Cancers.

In The Last Decade

Lindsay Guare

4 papers receiving 55 citations

Peers

Lindsay Guare
Colleen Morse Kripke United States
Reeta Metta United States
Amelia L.M. Tan United States
Alex Felmeister United States
Jyn Ling Kuan Singapore
Zefu Chen China
Dace Ruklisa United Kingdom
Anu Reigo Estonia
Colleen Morse Kripke United States
Lindsay Guare
Citations per year, relative to Lindsay Guare Lindsay Guare (= 1×) peers Colleen Morse Kripke

Countries citing papers authored by Lindsay Guare

Since Specialization
Citations

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

Fields of papers citing papers by Lindsay Guare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindsay Guare

This figure shows the co-authorship network connecting the top 25 collaborators of Lindsay Guare. A scholar is included among the top collaborators of Lindsay Guare based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lindsay Guare. Lindsay Guare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
3.
Verma, Shefali S., Lindsay Guare, Aimilia Gastounioti, et al.. (2023). Genome-Wide Association Study of Breast Density among Women of African Ancestry. Cancers. 15(10). 2776–2776.
4.
Singhal, Pankhuri, Lindsay Guare, Anastasia Lucas, et al.. (2023). DETECT: Feature extraction method for disease trajectory modeling in electronic health records.. PubMed. 2023. 487–496. 2 indexed citations
5.
Guare, Lindsay, et al.. (2022). Systematic tissue annotations of genomics samples by modeling unstructured metadata. Nature Communications. 13(1). 6736–6736. 9 indexed citations
6.
Verma, Anurag, Scott M. Damrauer, Nawar Naseer, et al.. (2022). The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population. Journal of Personalized Medicine. 12(12). 1974–1974. 43 indexed citations

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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