Kathryn S. Burch

41 total papers · 2.0k total citations
14 papers, 818 citations indexed

About

Kathryn S. Burch is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Kathryn S. Burch has authored 14 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Kathryn S. Burch's work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic and phenotypic traits in livestock (8 papers). Kathryn S. Burch is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic and phenotypic traits in livestock (8 papers). Kathryn S. Burch collaborates with scholars based in United States, Denmark and United Kingdom. Kathryn S. Burch's co-authors include Bogdan Paşaniuc, Malika Freund, Gleb Kichaev, Po‐Ru Loh, Alkes L. Price, Steven Gazal, Armin Schoech, Gaurav Bhatia, Sriram Sankararaman and Kangcheng Hou and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Kathryn S. Burch

14 papers receiving 808 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Leveraging Polygenic Functional Enrichment to Improve GWAS Power

2018 482 citations Gleb Kichaev, Gaurav Bhatia et al. The American Journal of Human Genetics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kathryn S. Burch	506	307	65	63	59	14	818
Malika Freund	518 1.0×	407 1.3×	72 1.1×	79 1.3×	60 1.0×	10	873
Rounak Dey	470 0.9×	275 0.9×	53 0.8×	59 0.9×	95 1.6×	17	799
Jonathon LeFaive	446 0.9×	279 0.9×	55 0.8×	72 1.1×	91 1.5×	10	770
Brooke N. Wolford	379 0.7×	248 0.8×	68 1.0×	64 1.0×	77 1.3×	12	738
Oriol Canela‐Xandri	516 1.0×	341 1.1×	72 1.1×	71 1.1×	77 1.3×	22	1.0k
Longda Jiang	450 0.9×	276 0.9×	60 0.9×	51 0.8×	92 1.6×	15	851
Annalisa Buniello	348 0.7×	367 1.2×	44 0.7×	56 0.9×	61 1.0×	20	900
Nana Matoba	508 1.0×	338 1.1×	67 1.0×	46 0.7×	89 1.5×	19	916
Maoxuan Lin	385 0.8×	369 1.2×	76 1.2×	85 1.3×	108 1.8×	12	871
Matthew Aguirre	480 0.9×	375 1.2×	46 0.7×	111 1.8×	56 0.9×	18	998

Countries citing papers authored by Kathryn S. Burch

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn S. Burch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn S. Burch. 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 Kathryn S. Burch. The network helps show where Kathryn S. Burch may publish in the future.

Co-authorship network of co-authors of Kathryn S. Burch

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

All Works

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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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