Natalie A. Twine

2.4k total citations
43 papers, 1.1k citations indexed

About

Natalie A. Twine is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Natalie A. Twine has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Genetics and 6 papers in Genetics. Recurrent topics in Natalie A. Twine's work include Genetic Associations and Epidemiology (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Acute Myeloid Leukemia Research (5 papers). Natalie A. Twine is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Acute Myeloid Leukemia Research (5 papers). Natalie A. Twine collaborates with scholars based in Australia, United Kingdom and Denmark. Natalie A. Twine's co-authors include Marc R. Wilkins, Michael Janitz, Karolina Janitz, Moustapha Kassem, Denis C. Bauer, Chi Nam Ignatius Pang, Li Chen, Nicholas Lea, Ghulam J. Mufti and Nigel Westwood and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Natalie A. Twine

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie A. Twine Australia 15 570 230 183 143 107 43 1.1k
Medhanie Mulaw Germany 23 716 1.3× 324 1.4× 141 0.8× 69 0.5× 89 0.8× 65 1.2k
Jonathan M. Gerber United States 19 813 1.4× 424 1.8× 168 0.9× 125 0.9× 48 0.4× 57 1.7k
Tommaso Pippucci Italy 23 708 1.2× 110 0.5× 82 0.4× 663 4.6× 99 0.9× 71 1.5k
Solaf M. Elsayed Egypt 15 548 1.0× 100 0.4× 85 0.5× 471 3.3× 36 0.3× 63 1.1k
Nurit Magal Israel 21 962 1.7× 98 0.4× 99 0.5× 439 3.1× 48 0.4× 51 1.7k
Thomas F. Wienker Germany 20 658 1.2× 67 0.3× 74 0.4× 382 2.7× 58 0.5× 59 1.3k
Jürgen Neesen Germany 24 582 1.0× 63 0.3× 150 0.8× 475 3.3× 67 0.6× 54 1.5k
Osnat Ashur‐Fabian Israel 25 718 1.3× 111 0.5× 86 0.5× 129 0.9× 25 0.2× 60 1.6k
Mayi Arcellana‐Panlilio Canada 16 671 1.2× 73 0.3× 168 0.9× 169 1.2× 27 0.3× 23 1.3k
Tomonori Izumi Japan 21 679 1.2× 102 0.4× 36 0.2× 59 0.4× 159 1.5× 32 1.4k

Countries citing papers authored by Natalie A. Twine

Since Specialization
Citations

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

Fields of papers citing papers by Natalie A. Twine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie A. Twine. 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 Natalie A. Twine. The network helps show where Natalie A. Twine may publish in the future.

Co-authorship network of co-authors of Natalie A. Twine

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie A. Twine. A scholar is included among the top collaborators of Natalie A. Twine 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 Natalie A. Twine. Natalie A. Twine 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.
Hlaing, Mya Myintzu, et al.. (2025). Draft genome sequence of Aspergillus oryzae (Ahlburg) Cohn ATCC 16868. Microbiology Resource Announcements. 14(3). e0110024–e0110024.
2.
3.
Kaphle, Anubhav, et al.. (2025). Optimizing UK biobank cloud-based research analysis platform to fine-map coronary artery disease loci in whole genome sequencing data. Scientific Reports. 15(1). 10335–10335. 1 indexed citations
4.
Bauer, Denis C., et al.. (2024). Prediction of Coronary Artery Disease Risk Using Genetic and Phenotypic Variables. Studies in health technology and informatics. 310. 1021–1025. 1 indexed citations
5.
Kaphle, Anubhav, Natalie A. Twine, Yuwan Malakar, et al.. (2024). Future-proofing genomic data and consent management: a comprehensive review of technology innovations. GigaScience. 13. 7 indexed citations
6.
Malakar, Yuwan, Justine Lacey, Natalie A. Twine, & Denis C. Bauer. (2023). Applying a risk governance approach to examine how professionals perceive the benefits and risks of clinical genomics in Australian healthcare. New Genetics and Society. 42(1). 4 indexed citations
7.
Pretorius, Carel, Paulette Barahona, Jim McGill, et al.. (2023). Feasibility of Targeted Next-Generation DNA Sequencing for Expanding Population Newborn Screening. Clinical Chemistry. 69(8). 890–900. 5 indexed citations
8.
Dunne, Robert, et al.. (2023). Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach. Computational and Structural Biotechnology Journal. 21. 4354–4360. 10 indexed citations
9.
Bayoumi, Ali, Khaled Thabet, Ziyan Pan, et al.. (2022). A metabolic associated fatty liver disease risk variant in MBOAT7 regulates toll like receptor induced outcomes. Nature Communications. 13(1). 7430–7430. 29 indexed citations
10.
Tarr, Ingrid, Emily P. McCann, Beben Benyamin, et al.. (2019). Monozygotic twins and triplets discordant for amyotrophic lateral sclerosis display differential methylation and gene expression. Scientific Reports. 9(1). 8254–8254. 30 indexed citations
11.
Twine, Natalie A., Linda Harkness, James Adjaye, et al.. (2018). Molecular Phenotyping of Telomerized Human Bone Marrow Skeletal Stem Cells Reveals a Genetic Program of Enhanced Proliferation and Maintenance of Differentiation Responses. JBMR Plus. 2(5). 257–267. 21 indexed citations
12.
Twine, Natalie A., Linda Harkness, Moustapha Kassem, & Marc R. Wilkins. (2016). Transcription factor ZNF25 is associated with osteoblast differentiation of human skeletal stem cells. BMC Genomics. 17(1). 872–872. 8 indexed citations
13.
14.
Twine, Natalie A., Caroline Janitz, Marc R. Wilkins, & Michael Janitz. (2013). Sequencing of hippocampal and cerebellar transcriptomes provides new insights into the complexity of gene regulation in the human brain. Neuroscience Letters. 541. 263–268. 8 indexed citations
15.
Hook, Sharon E., Natalie A. Twine, Stuart L. Simpson, et al.. (2013). 454 pyrosequencing-based analysis of gene expression profiles in the amphipod Melita plumulosa: Transcriptome assembly and toxicant induced changes. Aquatic Toxicology. 153. 73–88. 36 indexed citations
16.
Funnell, Alister P. W., Laura J. Norton, Ka Sin Mak, et al.. (2012). The CACCC-Binding Protein KLF3/BKLF Represses a Subset of KLF1/EKLF Target Genes and Is Required for Proper Erythroid Maturation In Vivo. Molecular and Cellular Biology. 32(16). 3281–3292. 35 indexed citations
17.
Gäken, Joop, Abidali Mohamedali, Natalie A. Twine, et al.. (2009). P054 MicroRNA expression profiling of high and low risk MDS. Leukemia Research. 33. S90–S90. 1 indexed citations
18.
Smith, Alexander, Constantinos Chronis, Manolis Christodoulakis, et al.. (2009). Epigenetics of human T cells during the G0→G1 transition. Genome Research. 19(8). 1325–1337. 17 indexed citations
19.
Lea, Nicholas, Azim Mohamedali, Natalie A. Twine, et al.. (2006). Kinesin Family Member 20A (KIF20A) Is Specifically down Regulated in 5q- CD34+ and CD61+ Cells and Uniparental Disomy Is Not a Feature of 5q- Syndrome.. Blood. 108(11). 2611–2611. 2 indexed citations
20.
Ogilvie, Emma, Mark Fife, Steve Thompson, et al.. (2002). TDT association study confirms the IL6-174 SNP confers susceptibility to systemic JIA.. Research Portal (King's College London). 46(9). 1 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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