Peggy Hall

12.1k total citations · 2 hit papers
8 papers, 3.3k citations indexed

About

Peggy Hall is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Peggy Hall has authored 8 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Peggy Hall's work include Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). Peggy Hall is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). Peggy Hall collaborates with scholars based in United States, United Kingdom and Australia. Peggy Hall's co-authors include Helen Parkinson, Jacqueline A. L. MacArthur, Lucia A. Hindorff, Danielle Welter, Heather Junkins, Paul Flicek, Joannella Morales, Tony Burdett, Teri A. Manolio and Aoife McMahon and has published in prestigious journals such as Nucleic Acids Research, The American Journal of the Medical Sciences and Cell Genomics.

In The Last Decade

Peggy Hall

7 papers receiving 3.2k citations

Hit Papers

The NHGRI GWAS Catalog, a curated resource of SNP-trait a... 2013 2026 2017 2021 2013 2016 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peggy Hall United States 5 1.8k 1.6k 370 238 221 8 3.3k
Danielle Welter Luxembourg 6 1.8k 1.0× 1.6k 1.0× 368 1.0× 238 1.0× 219 1.0× 12 3.2k
Joannella Morales United States 8 2.1k 1.1× 1.9k 1.2× 393 1.1× 252 1.1× 229 1.0× 12 3.6k
Jacqueline A. L. MacArthur United Kingdom 9 2.0k 1.1× 1.9k 1.2× 408 1.1× 250 1.1× 241 1.1× 13 3.7k
Tony Burdett United Kingdom 13 2.5k 1.4× 1.8k 1.1× 477 1.3× 296 1.2× 247 1.1× 32 4.2k
Futao Zhang China 10 1.2k 0.7× 1.5k 0.9× 251 0.7× 208 0.9× 191 0.9× 27 2.7k
Maya Kasowski United States 10 2.0k 1.1× 1.1k 0.7× 448 1.2× 285 1.2× 166 0.8× 14 3.0k
Daniel M. Jordan United States 14 1.8k 1.0× 1.4k 0.9× 401 1.1× 197 0.8× 142 0.6× 36 3.3k
Lance W. Hahn United States 11 1.9k 1.0× 1.8k 1.1× 264 0.7× 244 1.0× 181 0.8× 23 3.4k
Marc A. Schaub United States 8 1.5k 0.8× 1.1k 0.7× 341 0.9× 302 1.3× 164 0.7× 9 2.6k
Eurie L. Hong United States 14 1.8k 1.0× 873 0.5× 360 1.0× 224 0.9× 153 0.7× 22 2.8k

Countries citing papers authored by Peggy Hall

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Peggy Hall. A scholar is included among the top collaborators of Peggy Hall 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 Peggy Hall. Peggy Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
McMahon, Aoife, Elizabeth Lewis, Annalisa Buniello, et al.. (2021). Sequencing-based genome-wide association studies reporting standards. Cell Genomics. 1(1). 100005–100005. 10 indexed citations
2.
MacArthur, Jacqueline A. L., Annalisa Buniello, Laura W. Harris, et al.. (2021). Workshop proceedings: GWAS summary statistics standards and sharing. Cell Genomics. 1(1). 100004–100004. 17 indexed citations
3.
Sollis, Elliot, Annalisa Buniello, María Cerezo, et al.. (2019). User-focused development of the NHGRI-EBI Genome-Wide Association Studies Catalog. Faculty of 1000 Research Ltd. 8. 1 indexed citations
4.
Hall, Peggy, et al.. (2018). Crossing Lines: Integrating Law and Economics in Farmland Leasing Workshops. Journal of Extension. 56(4).
5.
MacArthur, Jacqueline A. L., Emily Bowler-Barnett, María Cerezo, et al.. (2016). The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Research. 45(D1). D896–D901. 1346 indexed citations breakdown →
6.
Londo, Andrew J., et al.. (2015). Water Quality and Nutrient Management Extension Programs in Ohio. Journal of Contemporary Water Research & Education. 156(1). 48–55. 4 indexed citations
7.
Welter, Danielle, Jacqueline A. L. MacArthur, Joannella Morales, et al.. (2013). The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Research. 42(D1). D1001–D1006. 1850 indexed citations breakdown →
8.
Hall, Peggy, et al.. (2012). Cryptococcus gattii: An Emerging Fungal Pathogen in the Southeastern United States. The American Journal of the Medical Sciences. 343(6). 510–511. 23 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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