Ben Taylor

8.6k total citations · 2 hit papers
9 papers, 1.5k citations indexed

About

Ben Taylor is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Ben Taylor has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Hematology. Recurrent topics in Ben Taylor's work include Genomics and Phylogenetic Studies (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and Iron Metabolism and Disorders (3 papers). Ben Taylor is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and Iron Metabolism and Disorders (3 papers). Ben Taylor collaborates with scholars based in United Kingdom, Australia and Jamaica. Ben Taylor's co-authors include Andrew J. Page, Torsten Seemann, Aidan Delaney, Jorge Soares, Simon R. Harris, Jacqueline A. Keane, Stephen W. Attwood, Khalil Abudahab, Áine O’Toole and Corin Yeats and has published in prestigious journals such as Blood, Clinical Infectious Diseases and British Journal of Haematology.

In The Last Decade

Ben Taylor

9 papers receiving 1.5k citations

Hit Papers

SNP-sites: rapid efficient extraction of SNPs from multi-... 2016 2026 2019 2022 2016 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Taylor United Kingdom 7 718 491 234 234 217 9 1.5k
Ghislaine Guigon France 23 500 0.7× 473 1.0× 340 1.5× 349 1.5× 437 2.0× 29 1.7k
Catherine Arnold United Kingdom 25 874 1.2× 324 0.7× 571 2.4× 152 0.6× 134 0.6× 63 1.5k
Kimberly A. Bishop‐Lilly United States 24 445 0.6× 855 1.7× 266 1.1× 130 0.6× 152 0.7× 84 1.9k
Elizabeth M. Batty United Kingdom 18 940 1.3× 719 1.5× 552 2.4× 370 1.6× 199 0.9× 33 2.0k
Lisa A. Cummings United States 16 355 0.5× 495 1.0× 215 0.9× 129 0.6× 312 1.4× 22 1.3k
Carly M. Bliss United Kingdom 14 272 0.4× 402 0.8× 283 1.2× 92 0.4× 107 0.5× 19 1.0k
Sukumar Saha Bangladesh 21 212 0.3× 407 0.8× 185 0.8× 115 0.5× 104 0.5× 101 1.6k
T. H. Pennington United Kingdom 24 557 0.8× 345 0.7× 816 3.5× 79 0.3× 154 0.7× 83 1.7k
Frank Verdonck Belgium 24 511 0.7× 317 0.6× 223 1.0× 42 0.2× 466 2.1× 54 1.6k
Giuseppe Iovane Italy 21 364 0.5× 219 0.4× 358 1.5× 67 0.3× 97 0.4× 96 1.5k

Countries citing papers authored by Ben Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Ben Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Taylor

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

All Works

9 of 9 papers shown
1.
Holm, Marianne, Nimesh Poudyal, Patrick Gallagher, et al.. (2023). Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA). Clinical Infectious Diseases. 77(Supplement_7). S500–S506. 6 indexed citations
2.
O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evolution. 7(2). veab064–veab064. 551 indexed citations breakdown →
3.
O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool. Apollo (University of Cambridge). 1 indexed citations
4.
Page, Andrew J., Ben Taylor, Aidan Delaney, et al.. (2016). SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microbial Genomics. 2(4). e000056–e000056. 808 indexed citations breakdown →
5.
Page, Andrew J., Sascha Steinbiss, Ben Taylor, Torsten Seemann, & J. V. Keane. (2016). GFF3toEMBL: Preparing annotated assemblies for submission to EMBL. The Journal of Open Source Software. 1(6). 80–80. 2 indexed citations
6.
Page, Andrew J., Ben Taylor, & J. V. Keane. (2016). Multilocus sequence typing by blast from de novo assemblies against PubMLST. The Journal of Open Source Software. 1(8). 118–118. 66 indexed citations
7.
Grandison, Yvonne, Karlene Mason, Ben Taylor, et al.. (1986). Alpha thalassemia and the hematology of homozygous sickle cell disease in childhood. Blood. 67(2). 411–414. 36 indexed citations
8.
Maude, G. H., Douglas R. Higgs, Yvonne Grandison, et al.. (1985). Alpha thalassaemia and the haematology of normal Jamaican children. Clinical & Laboratory Haematology. 7(4). 289–295. 10 indexed citations
9.
Stevens, Michaël C.G., G. H. Maude, Yvonne Grandison, et al.. (1985). Haematological change in sickle cell–haemoglobin C disease and in sickle cell‐beta thalassaemia: a cohort study from birth. British Journal of Haematology. 60(2). 279–292. 11 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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