Suzannah Bumpstead

13.5k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Suzannah Bumpstead is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Suzannah Bumpstead has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Suzannah Bumpstead's work include Pharmacogenetics and Drug Metabolism (3 papers), Genomics and Rare Diseases (2 papers) and Genetic Associations and Epidemiology (2 papers). Suzannah Bumpstead is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Genomics and Rare Diseases (2 papers) and Genetic Associations and Epidemiology (2 papers). Suzannah Bumpstead collaborates with scholars based in United Kingdom, United States and Sweden. Suzannah Bumpstead's co-authors include Panos Deloukas, Jilur Ghori, Niclas Eriksson, Ralph McGinnis, Mia Wadelius, Jonathan K. Pritchard, Jibril Hirbo, Godfrey Lema, Holly M. Mortensen and Sarah A. Tishkoff and has published in prestigious journals such as Nature Genetics, Blood and Genome Research.

In The Last Decade

Suzannah Bumpstead

8 papers receiving 1.9k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convergent adaptation of human lactase persistence in Africa and Europe

2006 937 citations Sarah A. Tishkoff, Floyd A. Reed et al. Nature Genetics profile →

Peers

Suzannah Bumpstead

GENET

PHARM

MB

EDM

CCM

Jilur Ghori United Kingdom

Ola Wallerman Sweden

Pamela Whittaker United Kingdom

Scott Dudek United States

Simone Rost Germany

Tomas Axelsson Sweden

Andreas Fregin Germany

Stéphane Bourgeois United Kingdom

Hans‐Joachim Pelz Germany

Neil Miller United States

Jilur Ghori United Kingdom

Suzannah Bumpstead

924 ×1.1

GENET

555 ×0.9

PHARM

363 ×0.7

MB

318 ×1.0

EDM

113 ×0.6

CCM

Citations per year, relative to Suzannah Bumpstead Suzannah Bumpstead (= 1×) peers Jilur Ghori

Countries citing papers authored by Suzannah Bumpstead

Since Specialization

Citations

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

Fields of papers citing papers by Suzannah Bumpstead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzannah Bumpstead

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

All Works

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8 of 8 papers shown

1.

Bourgeois, Stéphane, Andrea Jorgensen, Eunice J. Zhang, et al.. (2016). A multi-factorial analysis of response to warfarin in a UK prospective cohort. Genome Medicine. 8(1). 2–2. 42 indexed citations

2.

Danecek, Petr, Christoffer Nellåker, Rebecca E. McIntyre, et al.. (2012). High levels of RNA-editing site conservation amongst 15 laboratory mouse strains. Genome biology. 13(4). 26–26. 131 indexed citations

3.

Wong, Kim, Suzannah Bumpstead, Louise van der Weyden, et al.. (2012). Sequencing and characterization of the FVB/NJ mouse genome. Genome biology. 13(8). R72–R72. 58 indexed citations

4.

Wadelius, Mia, Jonatan D. Lindh, Niclas Eriksson, et al.. (2008). The largest prospective warfarin-treated cohort supports genetic forecasting. Blood. 113(4). 784–792. 413 indexed citations

5.

González‐Neira, Anna, Xiayi Ke, Óscar Lao, et al.. (2006). The portability of tagSNPs across populations: A worldwide survey. Genome Research. 16(3). 323–330. 73 indexed citations

6.

Tishkoff, Sarah A., Floyd A. Reed, Alessia Ranciaro, et al.. (2006). Convergent adaptation of human lactase persistence in Africa and Europe. Nature Genetics. 39(1). 31–40. 937 indexed citations breakdown →

7.

Wadelius, Mia, Niclas Eriksson, Suzannah Bumpstead, et al.. (2006). Association of warfarin dose with genes involved in its action and metabolism. Human Genetics. 121(1). 23–34. 296 indexed citations

8.

Dawson, Elisabeth, Yuan Chen, Sarah Hunt, et al.. (2001). A SNP Resource for Human Chromosome 22: Extracting Dense Clusters of SNPs From the Genomic Sequence. Genome Research. 11(1). 170–178. 59 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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