Michael Field

8.3k total citations
83 papers, 1.8k citations indexed

About

Michael Field is a scholar working on Molecular Biology, Genetics and Mechanical Engineering. According to data from OpenAlex, Michael Field has authored 83 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 30 papers in Genetics and 13 papers in Mechanical Engineering. Recurrent topics in Michael Field's work include Genetics and Neurodevelopmental Disorders (19 papers), Advanced machining processes and optimization (11 papers) and Autism Spectrum Disorder Research (9 papers). Michael Field is often cited by papers focused on Genetics and Neurodevelopmental Disorders (19 papers), Advanced machining processes and optimization (11 papers) and Autism Spectrum Disorder Research (9 papers). Michael Field collaborates with scholars based in Australia, United States and United Kingdom. Michael Field's co-authors include Gerhard Giebisch, Bruce A. Stanton, Carol A. Pollock, John F. Kahles, Gerhard Giebisch, David W. Johnson, Heather J. Saunders, Robert C. Baxter, Jerome B. Block and David P. Rall and has published in prestigious journals such as Nature, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Michael Field

79 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Field Australia 24 765 467 268 262 199 83 1.8k
Masaru Kato Japan 25 432 0.6× 176 0.4× 367 1.4× 14 0.1× 120 0.6× 171 2.3k
Enming Zhang China 22 653 0.9× 270 0.6× 93 0.3× 23 0.1× 48 0.2× 109 2.2k
Toshiaki Oda Japan 29 1.4k 1.8× 155 0.3× 178 0.7× 13 0.0× 144 0.7× 109 2.4k
Nobuaki Ito Japan 25 632 0.8× 639 1.4× 354 1.3× 11 0.0× 1.4k 6.9× 144 2.4k
Qian Liu China 23 405 0.5× 129 0.3× 71 0.3× 29 0.1× 156 0.8× 119 1.7k
Katherine Thompson United States 24 451 0.6× 175 0.4× 76 0.3× 14 0.1× 27 0.1× 77 1.6k
Hiroki Takano Japan 28 1.4k 1.8× 144 0.3× 101 0.4× 40 0.2× 13 0.1× 79 2.4k
Yu-Ting Huang China 23 659 0.9× 92 0.2× 127 0.5× 71 0.3× 9 0.0× 97 1.6k
E. Gordon Murphy Canada 24 1.5k 1.9× 240 0.5× 76 0.3× 35 0.1× 16 0.1× 53 2.2k
Lingyan Wang China 25 1.1k 1.4× 98 0.2× 213 0.8× 14 0.1× 21 0.1× 67 2.3k

Countries citing papers authored by Michael Field

Since Specialization
Citations

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

Fields of papers citing papers by Michael Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Field

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Field. A scholar is included among the top collaborators of Michael Field 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 Michael Field. Michael Field 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.
Alshawsh, Mohammed Abdullah, Melissa Wake, Jozef Gécz, et al.. (2024). Epigenomic newborn screening for conditions with intellectual disability and autistic features in Australian newborns. Epigenomics. 16(18). 1203–1214. 2 indexed citations
2.
Leffler, Melanie, Louise Christie, Anna Hackett, et al.. (2023). Further delineation of dosage‐sensitive K/L mediated Xq28 duplication syndrome includes incomplete penetrance. Clinical Genetics. 103(6). 681–687. 1 indexed citations
3.
Fleming, Jane, K. Moore, Ashley Crook, et al.. (2023). Clinical and imaging modality factors impacting radiological interpretation of breast screening in young women with neurofibromatosis type 1. Familial Cancer. 22(4). 499–511. 1 indexed citations
4.
Kraan, Claudine M., Emma K. Baker, Marta Arpone, et al.. (2020). DNA Methylation at Birth Predicts Intellectual Functioning and Autism Features in Children with Fragile X Syndrome. International Journal of Molecular Sciences. 21(20). 7735–7735. 12 indexed citations
5.
Schofield, Deborah, Owen Tan, Rupendra Shrestha, et al.. (2020). IDMOD: An Australian microsimulation model of lifetime economic and social factors in familial intellectual disability. 13(1). 52–66. 2 indexed citations
6.
Baker, Emma K., Merlin G. Butler, Ling Ling, et al.. (2020). Relationships between UBE3A and SNORD116 expression and features of autism in chromosome 15 imprinting disorders. Translational Psychiatry. 10(1). 362–362. 11 indexed citations
7.
Baker, Emma K., Marta Arpone, Claudine M. Kraan, et al.. (2020). FMR1 mRNA from full mutation alleles is associated with ABC-CFX scores in males with fragile X syndrome. Scientific Reports. 10(1). 11701–11701. 12 indexed citations
8.
Wiley, Veronica, Bruce Bennetts, Louise Christie, et al.. (2018). Are We Ready for Fragile X Newborn Screening Testing?—Lessons Learnt from a Feasibility Study. International Journal of Neonatal Screening. 4(1). 9–9. 4 indexed citations
9.
Meiser, Bettina, Veronica Quinn, Gillian Mitchell, et al.. (2018). Psychological outcomes and surgical decisions after genetic testing in women newly diagnosed with breast cancer with and without a family history. European Journal of Human Genetics. 26(7). 972–983. 12 indexed citations
10.
Jackson, Matilda R., Shervi Lie, Lachlan A. Jolly, et al.. (2017). Incorrect dosage of IQSEC2, a known intellectual disability and epilepsy gene, disrupts dendritic spine morphogenesis. Translational Psychiatry. 7(5). e1110–e1110. 29 indexed citations
11.
Bick, Christian & Michael Field. (2016). Functional asynchronous networks: Factorization of dynamics and function. Springer Link (Chiba Institute of Technology). 4 indexed citations
12.
13.
Kumar, Raman, Thuong Ha, Duyen Pham, et al.. (2016). A non-coding variant in the 5ʹ UTR of DLG3 attenuates protein translation to cause non-syndromic intellectual disability. European Journal of Human Genetics. 24(11). 1612–1616. 8 indexed citations
14.
Meiser, Bettina, Veronica Quinn, Margaret Gleeson, et al.. (2016). When knowledge of a heritable gene mutation comes out of the blue: treatment-focused genetic testing in women newly diagnosed with breast cancer. European Journal of Human Genetics. 24(11). 1517–1523. 11 indexed citations
15.
Huang, Lingli, Lachlan A. Jolly, Saffron A.G. Willis‐Owen, et al.. (2012). A Noncoding, Regulatory Mutation Implicates HCFC1 in Nonsyndromic Intellectual Disability. The American Journal of Human Genetics. 91(4). 694–702. 73 indexed citations
16.
Field, Michael, et al.. (2009). Michael Field: the poet - published and manuscript materials. 10 indexed citations
17.
Field, Michael, Carol A. Pollock, & David C.H. Harris. (2001). The renal system. Churchill Livingstone eBooks. 2 indexed citations
18.
Field, Michael, et al.. (1989). CEREBRAL DYSFUNCTION WITH EVIDENCE OF CEREBRAL HIV INFECTION AMONGST ASYMPTOMATIC HIV SEROPOSITIVE SUBJECTS. Australian and New Zealand Journal of Medicine. 19(6). 694–699. 12 indexed citations
19.
Field, Michael, et al.. (1975). Establishment of Production Machinability Data.. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Field, Michael, et al.. (1969). Machinability Parameters on New and Selective Aerospace Materials. Defense Technical Information Center (DTIC). 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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