Abigail Stevenson

548 total citations
22 papers, 417 citations indexed

About

Abigail Stevenson is a scholar working on Molecular Biology, Food Science and Endocrinology. According to data from OpenAlex, Abigail Stevenson has authored 22 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Food Science and 4 papers in Endocrinology. Recurrent topics in Abigail Stevenson's work include Salmonella and Campylobacter epidemiology (5 papers), RNA Research and Splicing (5 papers) and Vibrio bacteria research studies (4 papers). Abigail Stevenson is often cited by papers focused on Salmonella and Campylobacter epidemiology (5 papers), RNA Research and Splicing (5 papers) and Vibrio bacteria research studies (4 papers). Abigail Stevenson collaborates with scholars based in United Kingdom, United States and Taiwan. Abigail Stevenson's co-authors include Chris J. Norbury, Shao-Win Wang, Stephen Kearsey, Jürg Bähler, Stephen Watt, Anton M. Scheuhammer, Chongtao Ge, Robert C. Baker, Guangtao Zhang and Silin Tang and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Abigail Stevenson

21 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abigail Stevenson United Kingdom 11 232 64 49 40 38 22 417
Paula de Souza Santos Brazil 13 138 0.6× 31 0.5× 41 0.8× 45 1.1× 22 0.6× 26 344
Joseph T. Byers United Kingdom 6 264 1.1× 26 0.4× 30 0.6× 119 3.0× 46 1.2× 7 375
Anirban Chakraborty India 13 196 0.8× 52 0.8× 32 0.7× 20 0.5× 49 1.3× 56 447
Christopher A. Murdock United States 6 128 0.6× 86 1.3× 48 1.0× 12 0.3× 13 0.3× 7 344
Georges P Schmartz Germany 10 280 1.2× 49 0.8× 61 1.2× 13 0.3× 33 0.9× 20 458
Yurika Takahashi Japan 14 256 1.1× 43 0.7× 130 2.7× 78 1.9× 66 1.7× 33 436
Yanick Hagemeijer Netherlands 7 195 0.8× 22 0.3× 35 0.7× 36 0.9× 20 0.5× 8 562
Teca Calcagno Galvão Brazil 12 385 1.7× 19 0.3× 97 2.0× 20 0.5× 23 0.6× 19 527
Jan Bobek Czechia 15 367 1.6× 15 0.2× 81 1.7× 70 1.8× 16 0.4× 29 551

Countries citing papers authored by Abigail Stevenson

Since Specialization
Citations

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

Fields of papers citing papers by Abigail Stevenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail Stevenson

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail Stevenson. A scholar is included among the top collaborators of Abigail Stevenson 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 Abigail Stevenson. Abigail Stevenson 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.
Li, Shaoting, David A. Mann, Feng Xu, et al.. (2022). Subtyping Evaluation of Salmonella Enteritidis Using Single Nucleotide Polymorphism and Core Genome Multilocus Sequence Typing with Nanopore Reads. Applied and Environmental Microbiology. 88(15). e0078522–e0078522. 7 indexed citations
3.
Wu, Xingwen, Hao Luo, Feng Xu, et al.. (2021). Evaluation of Salmonella Serotype Prediction With Multiplex Nanopore Sequencing. Frontiers in Microbiology. 12. 637771–637771. 12 indexed citations
4.
Xu, Feng, Chongtao Ge, Shaoting Li, et al.. (2021). Evaluation of nanopore sequencing technology to identify Salmonella enterica Choleraesuis var. Kunzendorf and Orion var. 15+, 34+. International Journal of Food Microbiology. 346. 109167–109167. 11 indexed citations
5.
Xu, Feng, Chongtao Ge, Hao Luo, et al.. (2020). Evaluation of real-time nanopore sequencing for Salmonella serotype prediction. Food Microbiology. 89. 103452–103452. 18 indexed citations
6.
Tang, Silin, Renato H. Orsi, Hao Luo, et al.. (2019). Assessment and Comparison of Molecular Subtyping and Characterization Methods for Salmonella. Frontiers in Microbiology. 10. 1591–1591. 61 indexed citations
7.
8.
Stevenson, Abigail, et al.. (2018). PHP295 - REVIEW OF POSSIBLE CAUSES OF VARIATION IN NATIONAL INSTITUTE FOR HEALTH AND CARE EXCELLENCE (NICE) TECHNOLOGY APPRAISALS. Value in Health. 21. S200–S200. 9 indexed citations
9.
Hull, Russell D., et al.. (2013). Venous Thromboembolism in Elderly High-Risk Medical Patients. Clinical and Applied Thrombosis/Hemostasis. 19(4). 357–362. 39 indexed citations
10.
Stevenson, Abigail, C.-Y. Wang, Hsin‐Jen Chen, et al.. (2010). Vgl1, a multi-KH domain protein, is a novel component of the fission yeast stress granules required for cell survival under thermal stress. Nucleic Acids Research. 38(19). 6555–6566. 32 indexed citations
11.
Stevenson, Abigail, et al.. (2010). Elucidating mechanistic principles underpinning eukaryotic translation initiation using quantitative fluorescence methods. Biochemical Society Transactions. 38(6). 1587–1592. 2 indexed citations
12.
Westerhoff, Hans V., Yuliya Gordiyenko, Tobias von der Haar, et al.. (2008). Structural and dynamic features of the eukaryotic translation initiation pathway. FEBS Journal. 275. 17–17. 2 indexed citations
13.
Stevenson, Abigail & John E.G. McCarthy. (2008). Found in Translation: Another RNA Helicase Function. Molecular Cell. 32(6). 755–756. 4 indexed citations
14.
Wang, Shao-Win, Abigail Stevenson, Stephen Kearsey, Stephen Watt, & Jürg Bähler. (2007). Global Role for Polyadenylation-Assisted Nuclear RNA Degradation in Posttranscriptional Gene Silencing. Molecular and Cellular Biology. 28(2). 656–665. 72 indexed citations
15.
Kearsey, Stephen, Abigail Stevenson, Takashi Toda, & Shao-Win Wang. (2006). Fission Yeast Cut8 Is Required for the Repair of DNA Double-Strand Breaks, Ribosomal DNA Maintenance, and Cell Survival in the Absence of Rqh1 Helicase. Molecular and Cellular Biology. 27(5). 1558–1567. 8 indexed citations
16.
Stevenson, Abigail & Chris J. Norbury. (2006). The Cid1 family of non‐canonical poly(A) polymerases. Yeast. 23(13). 991–1000. 53 indexed citations
17.
Win, Thein Z., Abigail Stevenson, & Shao-Win Wang. (2006). Fission Yeast Cid12 Has Dual Functions in Chromosome Segregation and Checkpoint Control. Molecular and Cellular Biology. 26(12). 4435–4447. 19 indexed citations
18.
Stevenson, Abigail, Anton M. Scheuhammer, & Hing Man Chan. (2005). Effects of Nontoxic Shot Regulations on Lead Accumulation in Ducks and American Woodcock in Canada. Archives of Environmental Contamination and Toxicology. 48(3). 405–413. 37 indexed citations
19.
Humphreys, Paul, D. Bellamy, Abigail Stevenson, & D. Lewis. (1976). A comparison of the breeding success of two strains of laboratory rats in relation to age at mating. Reproduction. 48(2). 421–422. 5 indexed citations
20.
Bellamy, D., et al.. (1968). Starvation metabolism and plasma corticosterone with reference to the actions of metopirone and propylthiouracil. General and Comparative Endocrinology. 10(1). 119–125. 16 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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