Michael Gattas

2.7k total citations
21 papers, 848 citations indexed

About

Michael Gattas is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Sociology and Political Science. According to data from OpenAlex, Michael Gattas has authored 21 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 7 papers in Pediatrics, Perinatology and Child Health and 5 papers in Sociology and Political Science. Recurrent topics in Michael Gattas's work include BRCA gene mutations in cancer (11 papers), Family Support in Illness (5 papers) and Cancer Genomics and Diagnostics (4 papers). Michael Gattas is often cited by papers focused on BRCA gene mutations in cancer (11 papers), Family Support in Illness (5 papers) and Cancer Genomics and Diagnostics (4 papers). Michael Gattas collaborates with scholars based in Australia, United Kingdom and United States. Michael Gattas's co-authors include Bettina Meiser, Phyllis Butow, Kathy Tucker, Graeme Suthers, Alexandra Barratt, Clara Gaff, Eric Haan, Judy Kirk, Vivienne Schnieden and Michael Friedländer and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Human Molecular Genetics.

In The Last Decade

Michael Gattas

21 papers receiving 823 citations

Peers

Michael Gattas
Carolyn Durham United States
Conny A. van der Meer Netherlands
Angela Trepanier United States
Brita Arver Sweden
Monica Marvin United States
Rachel Nusbaum United States
Susan Tinley United States
Carina C. M. Bartels Netherlands
Sharon Durfy United States
E.B.L. van Dorst Netherlands
Carolyn Durham United States
Michael Gattas
Citations per year, relative to Michael Gattas Michael Gattas (= 1×) peers Carolyn Durham

Countries citing papers authored by Michael Gattas

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gattas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gattas

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gattas. A scholar is included among the top collaborators of Michael Gattas 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 Gattas. Michael Gattas 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.
McInerney‐Leo, Aideen, Hui Yi Chew, Po-Ling Inglis, et al.. (2021). Germline ERBB3 mutation in familial non-small-cell lung carcinoma: expanding ErbB’s role in oncogenesis. Human Molecular Genetics. 30(24). 2393–2401. 3 indexed citations
2.
Mallett, Andrew J., Catherine Quinlan, Chirag Patel, et al.. (2019). Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation. Kidney Medicine. 1(5). 315–318. 5 indexed citations
3.
Downs, Jenny, Kingsley Wong, Michael Gattas, et al.. (2019). The incidence, prevalence and clinical features ofMECP2duplication syndrome in Australian children. Journal of Paediatrics and Child Health. 55(11). 1315–1322. 27 indexed citations
4.
Poke, Gemma, et al.. (2012). Segmental Maternal UPD6 with Prenatal Growth Restriction. Molecular Syndromology. 3(6). 270–273. 11 indexed citations
5.
Bennett, Ian, Jennifer Muller, Christine L. Baker, et al.. (2010). Outcomes of Multimodality Breast Screening for Women at Increased Risk of Familial Breast Cancer. World Journal of Surgery. 34(5). 979–986. 5 indexed citations
6.
Walsh, Michael D., Margaret C. Cummings, Daniel D. Buchanan, et al.. (2008). Molecular, Pathologic, and Clinical Features of Early-Onset Endometrial Cancer: Identifying Presumptive Lynch Syndrome Patients. Clinical Cancer Research. 14(6). 1692–1700. 76 indexed citations
7.
Allan, John, et al.. (2004). Dilemmas encountered with preimplantation diagnosis of aneuploidy in human embryos. Australian and New Zealand Journal of Obstetrics and Gynaecology. 44(2). 117–123. 4 indexed citations
8.
Lobb, Elizabeth, Phyllis Butow, Alexandra Barratt, et al.. (2004). Communication and information-giving in high-risk breast cancer consultations: influence on patient outcomes. British Journal of Cancer. 90(2). 321–327. 116 indexed citations
9.
Wilson, Meredith, David Mowat, Florence Dastot‐Le Moal, et al.. (2003). Further delineation of the phenotype associated with heterozygous mutations in ZFHX1B. American Journal of Medical Genetics Part A. 119A(3). 257–265. 69 indexed citations
10.
Meiser, Bettina, Phyllis Butow, Alexandra Barratt, et al.. (2001). Long-term outcomes of genetic counseling in women at increased risk of developing hereditary breast cancer. Patient Education and Counseling. 44(3). 215–225. 75 indexed citations
11.
Meiser, Bettina, Phyllis Butow, Alexandra Barratt, et al.. (2001). Risk perceptions and knowledge of breast cancer genetics in women at increased risk of developing hereditary breast cancer. Psychology and Health. 16(3). 297–311. 36 indexed citations
12.
Gattas, Michael, et al.. (2001). Telemedicine and clinical genetics: Establishing a successful service. Journal of Telemedicine and Telecare. 7(2_suppl). 68–70. 60 indexed citations
13.
Roscioli, Tony, Pavitra Kumar, J. Masel, et al.. (2000). Clinical findings in a patient withFGFR1 P252R mutation and comparison with the literature. American Journal of Medical Genetics. 93(1). 22–28. 47 indexed citations
14.
Robertson, Stephen P., Michael Gattas, Maureen Rogers, & Lesley C. Adès. (2000). Macrocephaly — cutis marmorata telangiectatica congenita. Clinical Dysmorphology. 9(1). 1–9. 46 indexed citations
15.
Bennett, Ian, Michael Gattas, & Bin Tean Teh. (2000). The management of familial breast cancer. The Breast. 9(5). 247–263. 16 indexed citations
16.
Meiser, Bettina, Phyllis Butow, Vivienne Schnieden, et al.. (2000). Psychological adjustment of women at increased risk of developing hereditary breast cancer. Psychology Health & Medicine. 5(4). 377–388. 29 indexed citations
17.
Meiser, Bettina, Phyllis Butow, Michael Friedländer, et al.. (2000). Intention to Undergo Prophylactic Bilateral Mastectomy in Women at Increased Risk of Developing Hereditary Breast Cancer. Journal of Clinical Oncology. 18(11). 2250–2257. 101 indexed citations
18.
Bennett, Ian, Michael Gattas, & Bin Tean Teh. (1999). THE GENETIC BASIS OF BREAST CANCER AND ITS CLINICAL IMPLICATIONS. Australian and New Zealand Journal of Surgery. 69(2). 95–105. 24 indexed citations
19.
Meiser, Bettina, Phyllis Butow, Alexandra Barratt, et al.. (1999). Attitudes toward Prophylactic Oophorectomy and Screening Utilization in Women at Increased Risk of Developing Hereditary Breast/Ovarian Cancer. Gynecologic Oncology. 75(1). 122–129. 60 indexed citations
20.
Talley, Nicholas J., Robert P. Eckstein, Michael Gattas, & Daniel Stiel. (1988). Acute hepatitis and Brucella melitensis infection: clinicopathological findings. The Medical Journal of Australia. 148(11). 587–590. 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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