D. Staines

12.6k total citations · 1 hit paper
25 papers, 2.5k citations indexed

About

D. Staines is a scholar working on Psychiatry and Mental health, Molecular Biology and General Health Professions. According to data from OpenAlex, D. Staines has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Psychiatry and Mental health, 9 papers in Molecular Biology and 5 papers in General Health Professions. Recurrent topics in D. Staines's work include Fibromyalgia and Chronic Fatigue Syndrome Research (11 papers), Genomics and Phylogenetic Studies (6 papers) and Ion Channels and Receptors (4 papers). D. Staines is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (11 papers), Genomics and Phylogenetic Studies (6 papers) and Ion Channels and Receptors (4 papers). D. Staines collaborates with scholars based in Australia, United Kingdom and France. D. Staines's co-authors include Paul Kersey, Dan Bolser, Andreas Kähäri, Glenn Proctor, Arnaud Kerhornou, Paul Flicek, Giulietta Spudich, Syed Haider, J. P. Almeida and Jorge Zamora and has published in prestigious journals such as Nucleic Acids Research, Gene and Journal of Epidemiology & Community Health.

In The Last Decade

D. Staines

25 papers receiving 2.5k citations

Hit Papers

Ensembl BioMarts: a hub for data retrieval across taxonom... 2011 2026 2016 2021 2011 250 500 750
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. Ensembl BioMarts: a hub for data retrieval across taxonomic space
    2011 970 citations Andreas Kähäri, Syed Haider et al. Database profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Staines Australia 18 1.5k 718 519 261 224 25 2.5k
Sha Tang China 36 2.1k 1.5× 1.5k 2.0× 1.1k 2.2× 110 0.4× 233 1.0× 126 4.0k
Zhenglong Gu United States 29 2.9k 2.0× 1.0k 1.4× 923 1.8× 64 0.2× 243 1.1× 101 4.0k
Vladimir N. Babenko Russia 25 997 0.7× 258 0.4× 225 0.4× 77 0.3× 71 0.3× 111 1.8k
Andrew Kirby United States 23 1.2k 0.8× 719 1.0× 1.9k 3.7× 58 0.2× 108 0.5× 29 3.2k
Dengfeng Zhang China 34 1.5k 1.1× 2.0k 2.7× 1.0k 2.0× 73 0.3× 135 0.6× 165 3.9k
Karen L. Thijssen Netherlands 15 1.9k 1.3× 527 0.7× 202 0.4× 29 0.1× 165 0.7× 19 2.8k
Jinyu Wu China 26 1.1k 0.8× 344 0.5× 441 0.8× 36 0.1× 218 1.0× 73 1.9k
Yuan Zhu China 22 1.7k 1.1× 175 0.2× 432 0.8× 60 0.2× 135 0.6× 69 3.2k
Andrea Patrignani Switzerland 23 1.2k 0.8× 428 0.6× 416 0.8× 132 0.5× 147 0.7× 39 2.0k
Peng Yu China 25 1.5k 1.1× 149 0.2× 505 1.0× 48 0.2× 257 1.1× 117 2.4k

Countries citing papers authored by D. Staines

Since Specialization
Citations

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

Fields of papers citing papers by D. Staines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Staines

This figure shows the co-authorship network connecting the top 25 collaborators of D. Staines. A scholar is included among the top collaborators of D. Staines 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 D. Staines. D. Staines 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.
Eaton-Fitch, Natalie, et al.. (2022). Dietary supplements, daily nutrient intake, and health-related quality of life among people with myalgic encephalomyelitis/chronic fatigue syndrome. Proceedings of The Nutrition Society. 81(OCE3). 1 indexed citations
2.
Eaton-Fitch, Natalie, et al.. (2020). Health-related quality of life in patients with myalgic encephalomyelitis/chronic fatigue syndrome: an Australian cross-sectional study. Quality of Life Research. 29(6). 1521–1531. 29 indexed citations
3.
4.
5.
Cabanas, Hélène, et al.. (2018). A systematic review of enteric dysbiosis in chronic fatigue syndrome/myalgic encephalomyelitis. Systematic Reviews. 7(1). 241–241. 39 indexed citations
6.
Staines, D., et al.. (2017). Dietary and nutrition interventions for the therapeutic treatment of chronic fatigue syndrome/myalgic encephalomyelitis: a systematic review. Journal of Human Nutrition and Dietetics. 30(3). 247–259. 46 indexed citations
7.
8.
Bolser, Dan, D. Staines, Emily Perry, & Paul Kersey. (2016). Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomic Data. Methods in molecular biology. 1533. 1–31. 278 indexed citations
9.
Pedro, Helder, Uma Maheswari, Martin Urban, et al.. (2015). PhytoPath: an integrative resource for plant pathogen genomics. Nucleic Acids Research. 44(D1). D688–D693. 31 indexed citations
10.
Peterson, Daniel L., et al.. (2015). Cytokines in the Cerebrospinal Fluids of Patients with Chronic Fatigue Syndrome/Myalgic Encephalomyelitis. Mediators of Inflammation. 2015(1). 929720–929720. 46 indexed citations
11.
Medina-Rivera, Alejandra, Matthieu Defrance, Olivier Sand, et al.. (2015). RSAT 2015: Regulatory Sequence Analysis Tools. Nucleic Acids Research. 43(W1). W50–W56. 191 indexed citations
12.
Bolser, Dan, et al.. (2015). Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data. Methods in molecular biology. 1374. 115–140. 202 indexed citations
13.
Huth, Teilah Kathryn, Sandra Bahia Ramos, Tuyen Nguyen, et al.. (2015). Pilot Study of Natural Killer Cells in Chronic Fatigue Syndrome/Myalgic Encephalomyelitis and Multiple Sclerosis. Scandinavian Journal of Immunology. 83(1). 44–51. 20 indexed citations
14.
McDowall, Mark D., Midori A. Harris, Antonia Lock, et al.. (2014). PomBase 2015: updates to the fission yeast database. Nucleic Acids Research. 43(D1). D656–D661. 61 indexed citations
15.
Spooner, W., Ken Youens‐Clark, D. Staines, & Doreen Ware. (2012). GrameneMart: the BioMart data portal for the Gramene project. Database. 2012(0). bar056–bar056. 15 indexed citations
16.
Kähäri, Andreas, Syed Haider, Jorge Zamora, et al.. (2011). Ensembl BioMarts: a hub for data retrieval across taxonomic space. Database. 2011(0). bar030–bar030. 970 indexed citations breakdown →
17.
Wood, Valerie, Midori A. Harris, Mark D. McDowall, et al.. (2011). PomBase: a comprehensive online resource for fission yeast. Nucleic Acids Research. 40(D1). D695–D699. 231 indexed citations
18.
Kersey, Paul, Daniel Lawson, Ewan Birney, et al.. (2009). Ensembl Genomes: Extending Ensembl across the taxonomic space. Nucleic Acids Research. 38(suppl_1). D563–D569. 128 indexed citations
19.
Stafford, Russell, et al.. (2007). An outbreak of multi-resistant Shigella sonnei in Australia: possible link to the outbreak of shigellosis in Denmark associated with imported baby corn from Thailand. Weekly releases (1997–2007). 12(37). E070913.1–E070913.1. 10 indexed citations
20.

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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