Sarah Howlett

6.7k total citations · 1 hit paper
45 papers, 3.9k citations indexed

About

Sarah Howlett is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sarah Howlett has authored 45 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 22 papers in Molecular Biology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sarah Howlett's work include Epigenetics and DNA Methylation (12 papers), Diabetes and associated disorders (11 papers) and Genetic Syndromes and Imprinting (10 papers). Sarah Howlett is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Diabetes and associated disorders (11 papers) and Genetic Syndromes and Imprinting (10 papers). Sarah Howlett collaborates with scholars based in United Kingdom, United States and Australia. Sarah Howlett's co-authors include Wolf Reik, Susana M. Chuva de Sousa Lopes, Bowen Sun, Ludovic Vallier, Lars Ährlund‐Richter, Matthew Trotter, Peter J. Rugg‐Gunn, Lucy Smithers, I. G. M. Brons and Roger A. Pedersen and has published in prestigious journals such as Nature, Cell and Journal of Clinical Oncology.

In The Last Decade

Sarah Howlett

44 papers receiving 3.8k citations

Hit Papers

Derivation of pluripotent epiblast stem cells from mammal... 2007 2026 2013 2019 2007 400 800 1.2k
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.

  1. Derivation of pluripotent epiblast stem cells from mammalian embryos
    2007 1.5k citations I. G. M. Brons, Lucy Smithers et al. Nature profile →

Peers

Sarah Howlett
Shaorong Gao China
Takashi Tada Japan
Shau‐Ping Lin Taiwan
Maria D. Lalioti United States
Meelad M. Dawlaty United States
Kristina Vintersten Nagy Canada
Hong Lei United States
Cédric Le Caignec France
Tomoyuki Tokunaga Japan
Melanie Pritchard Australia
Shaorong Gao China
Sarah Howlett
Citations per year, relative to Sarah Howlett Sarah Howlett (= 1×) peers Shaorong Gao

Countries citing papers authored by Sarah Howlett

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Howlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Howlett

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

All Works

20 of 20 papers shown
1.
2.
Howlett, Sarah, Lorna B. Jarvis, Daniel B. Rainbow, et al.. (2024). FlowAtlas: an interactive tool for high-dimensional immunophenotyping analysis bridging FlowJo with computational tools in Julia. Frontiers in Immunology. 15. 1425488–1425488. 1 indexed citations
3.
Howlett, Sarah, et al.. (2021). The immunogenicity of midbrain dopaminergic neurons and the implications for neural grafting trials in Parkinson’s disease. PubMed. 5(3). NS20200083–NS20200083. 4 indexed citations
4.
5.
Petrus-Reurer, Sandra, Marco Romano, Sarah Howlett, et al.. (2021). Immunological considerations and challenges for regenerative cellular therapies. Communications Biology. 4(1). 798–798. 91 indexed citations
6.
Howlett, Sarah, Alireza Abdolrasouli, Andrew M. Borman, et al.. (2019). A black mould death: A case of fatal cerebral phaeohyphomycosis caused by Cladophialophora bantiana. Medical Mycology Case Reports. 24. 23–26. 4 indexed citations
7.
Peterson, Laurence B., Sarah Howlett, Marcin Ł. Pękalski, et al.. (2018). A long-lived IL-2 mutein that selectively activates and expands regulatory T cells as a therapy for autoimmune disease. Journal of Autoimmunity. 95. 1–14. 104 indexed citations
8.
Sun, Yongliang, Jan Clark, Sarah Howlett, et al.. (2014). Sustained in vivo signaling by long-lived IL-2 induces prolonged increases of regulatory T cells. Journal of Autoimmunity. 56. 66–80. 69 indexed citations
9.
Maier, Lisa M., Sarah Howlett, Kara Rainbow, et al.. (2008). NKG2D-RAE-1 Receptor-Ligand Variation Does Not Account for the NK Cell Defect in Nonobese Diabetic Mice. The Journal of Immunology. 181(10). 7073–7080. 13 indexed citations
10.
Brons, I. G. M., Lucy Smithers, Matthew Trotter, et al.. (2007). Derivation of pluripotent epiblast stem cells from mammalian embryos. Nature. 448(7150). 191–195. 1487 indexed citations breakdown →
11.
Wicker, Linda S., Giselle Chamberlain, Kara Hunter, et al.. (2004). Fine Mapping, Gene Content, Comparative Sequencing, and Expression Analyses Support Ctla4 and Nramp1 as Candidates for Idd5.1 and Idd5.2 in the Nonobese Diabetic Mouse. The Journal of Immunology. 173(1). 164–173. 91 indexed citations
12.
Lord, Christopher J., Sarah Howlett, Paul Lyons, et al.. (2001). The murine type 1 diabetes loci, Idd1, Idd3, Idd5, Idd9, and Idd17/10/18, do not control thymic CD4 − CD8 − /TCRαβ + deficiency in the nonobese diabetic mouse. Mammalian Genome. 12(2). 175–176. 8 indexed citations
13.
Mitchell, R. John, Sarah Howlett, L. Earl, et al.. (2000). Distribution of the 3' VNTR polymorphism in the human dopamine transporter gene in world populations.. PubMed. 72(2). 295–304. 104 indexed citations
14.
George, Martin A., Martin H. Johnson, & Sarah Howlett. (1994). Assessment of the developmental potential of frozen-thawed mouse oocytes. Human Reproduction. 9(1). 130–136. 24 indexed citations
15.
Howlett, Sarah. (1991). Genomic Imprinting and Nuclear Totipotency during Embryonic Development. International review of cytology. 127. 175–192. 11 indexed citations
16.
Surani, M. Azim, Nicholas D. Allen, S. C. Barton, et al.. (1990). Developmental consequences of imprinting of parental chromosomes by DNA methylation. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 326(1235). 313–327. 67 indexed citations
17.
Howlett, Sarah, Wolf Reik, S. C. Barton, M. L. Norris, & M. Azim Surani. (1989). Genomic Imprinting in the Mouse. PubMed. 6. 59–77. 6 indexed citations
18.
Collins, Geoffrey M. & Sarah Howlett. (1988). The pharmacology of excitatory transmission in the rat olfactory cortex slice. Neuropharmacology. 27(7). 697–705. 29 indexed citations
19.
Howlett, Sarah. (1986). The effect of inhibiting DNA replication in the one-cell mouse embryo. Development Genes and Evolution. 195(8). 499–505. 66 indexed citations
20.
Kaufman, M. H. & Sarah Howlett. (1986). The ovulation and activation of primary and secondary oocytes in LT/Sv strain mice. Gamete Research. 14(3). 255–264. 38 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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