M. B. Delatycki

836 total citations
17 papers, 466 citations indexed

About

M. B. Delatycki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, M. B. Delatycki has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in M. B. Delatycki's work include Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Genomics and Rare Diseases (2 papers). M. B. Delatycki is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Genomics and Rare Diseases (2 papers). M. B. Delatycki collaborates with scholars based in Australia, United States and United Kingdom. M. B. Delatycki's co-authors include Andrew Churchyard, Louise A. Corben, Michael Fahey, Susan M. White, V. Collins, Phillipa J. Lamont, V. R. Collins, Carmen L. Wilson, Agnes Bankier and John Massie and has published in prestigious journals such as Neurology, Neuroscience and Movement Disorders.

In The Last Decade

M. B. Delatycki

16 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. B. Delatycki Australia 7 274 264 120 91 36 17 466
Dorota Hoffman‐Zacharska Poland 14 216 0.8× 169 0.6× 186 1.6× 126 1.4× 34 0.9× 53 541
Geneieve Tai Australia 11 370 1.4× 390 1.5× 196 1.6× 38 0.4× 59 1.6× 25 584
Robyn Labrum United Kingdom 14 488 1.8× 400 1.5× 175 1.5× 84 0.9× 41 1.1× 21 772
Stefania Stenirri Italy 13 313 1.1× 157 0.6× 85 0.7× 72 0.8× 20 0.6× 22 585
Martin Paucar Sweden 11 221 0.8× 142 0.5× 98 0.8× 60 0.7× 25 0.7× 52 412
Haruomi Nakamura Japan 11 198 0.7× 117 0.4× 103 0.9× 64 0.7× 40 1.1× 23 518
Sandra Martins Portugal 15 351 1.3× 329 1.2× 171 1.4× 65 0.7× 28 0.8× 39 503
Michelle Demos Canada 13 270 1.0× 97 0.4× 47 0.4× 145 1.6× 18 0.5× 23 482
Eugènia Monrós Spain 11 473 1.7× 328 1.2× 99 0.8× 184 2.0× 68 1.9× 22 725
T. Chkili Morocco 11 363 1.3× 400 1.5× 191 1.6× 93 1.0× 146 4.1× 32 721

Countries citing papers authored by M. B. Delatycki

Since Specialization
Citations

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

Fields of papers citing papers by M. B. Delatycki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. B. Delatycki. 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 M. B. Delatycki. The network helps show where M. B. Delatycki may publish in the future.

Co-authorship network of co-authors of M. B. Delatycki

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

All Works

17 of 17 papers shown
1.
Noffs, Gustavo, Michael S. Magee, M. B. Delatycki, et al.. (2020). Measurement of speech as a biomarker of neurodegenerative disease using acoustic profiles and machine learning. Movement Disorders. 35.
2.
Martyn, Melissa, Vicki Anderson, Alison D. Archibald, et al.. (2013). Offering fragile X syndrome carrier screening: a prospective mixed-methods observational study comparing carrier screening of pregnant and non-pregnant women in the general population. BMJ Open. 3(9). e003660–e003660. 12 indexed citations
3.
Corben, Louise A., Nellie Georgiou‐Karistianis, John L. Bradshaw, et al.. (2011). The Fitts task reveals impairments in planning and online control of movement in Friedreich ataxia: reduced cerebellar-cortico connectivity?. Neuroscience. 192. 382–390. 25 indexed citations
4.
Gurrin, Lyle C., Anita E. Wluka, Nadine A. Bertalli, et al.. (2011). 350 HFE C282Y HOMOZYGOSITY IS ASSOCIATED WITH AN INCREASED RISK OF TOTAL HIP REPLACEMENT FOR OSTEOARTHRITIS IN MEN BUT NOT WOMEN. Osteoarthritis and Cartilage. 19. S158–S158. 1 indexed citations
5.
Ioannou, Liane, John Massie, V. Collins, Belinda McClaren, & M. B. Delatycki. (2010). Population-Based Genetic Screening for Cystic Fibrosis: Attitudes and Outcomes. Public Health Genomics. 13(7-8). 449–456. 27 indexed citations
6.
Duncan, Robin E., et al.. (2009). Clinical ethics: Genetic selection for deafness: the views of hearing children of deaf adults. 1 indexed citations
7.
Allen, Katrina J., Lyle C. Gurrin, Nicholas J. Osborne, et al.. (2007). Healthiron: a longitudinal population study defining the burden of disease in HFE-associated hereditary hemochromatosis. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
8.
Osborne, Nicholas J., Lyle C. Gurrin, Katrina J. Allen, et al.. (2007). Homozygosity for the C282Y mutation in the HFE gene is associated with increased risk of colorectailand breast cancer in Australian population. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
9.
Fahey, Michael, Louise A. Corben, V. Collins, Andrew Churchyard, & M. B. Delatycki. (2007). The 25-foot walk velocity accurately measures real world ambulation in Friedreich ataxia. Neurology. 68(9). 705–706. 14 indexed citations
10.
Wilson, Carmen L., Michael Fahey, Louise A. Corben, et al.. (2007). Quality of life in Friedreich ataxia: what clinical, social and demographic factors are important?. European Journal of Neurology. 14(9). 1040–1047. 41 indexed citations
11.
White, Susan M., Susan M. White, Elizabeth M. Thompson, et al.. (2004). Growth, behavior, and clinical findings in 27 patients with Kabuki (Niikawa–Kuroki) syndrome. American Journal of Medical Genetics Part A. 127A(2). 118–127. 66 indexed citations
12.
Poullis, Andrew, Simon Moodie, J. Maxwell, et al.. (2002). Clinical haemochromatosis in HFE mutation carriers [4] (multiple letters). 360(9330). 411–414. 5 indexed citations
13.
Delatycki, M. B., et al.. (2001). Adult onset neurological disorders. Predictive genetic testing.. PubMed. 30(10). 948–52. 3 indexed citations
14.
Delatycki, M. B., et al.. (2000). Friedreich ataxia: an overview. Journal of Medical Genetics. 37(1). 1–8. 253 indexed citations
15.
Delatycki, M. B., et al.. (1999). Persistent truncus arteriosus in monozygotic twins: Case report and literature review. American Journal of Medical Genetics. 82(2). 146–148. 4 indexed citations
16.
Delatycki, M. B., Melanie A. Knight, M. Koenig, et al.. (1999). G130V, a common FRDA point mutation, appears to have arisen from a common founder. Human Genetics. 105(4). 343–346. 5 indexed citations
17.
Delatycki, M. B., Maureen Cleary, Agnes Bankier, et al.. (1997). A maternally transmitted lethal neonatal progeroid syndrome with prominent genitourinary and gastrointestinal features.. Journal of Medical Genetics. 34(6). 520–524. 5 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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