Graeme Suthers

8.3k total citations
57 papers, 2.5k citations indexed

About

Graeme Suthers is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Graeme Suthers has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 16 papers in Molecular Biology and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Graeme Suthers's work include BRCA gene mutations in cancer (23 papers), Genetic factors in colorectal cancer (14 papers) and DNA Repair Mechanisms (7 papers). Graeme Suthers is often cited by papers focused on BRCA gene mutations in cancer (23 papers), Genetic factors in colorectal cancer (14 papers) and DNA Repair Mechanisms (7 papers). Graeme Suthers collaborates with scholars based in Australia, United States and United Kingdom. Graeme Suthers's co-authors include Bettina Meiser, Robyn L. Ward, Catherine M. Suter, Megan P. Hitchins, Nicholas J. Hawkins, David I. K. Martin, Kathy Tucker, Phyllis Butow, Justin Wong and Judy Kirk and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Graeme Suthers

55 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graeme Suthers Australia 25 1.2k 981 718 597 429 57 2.5k
Ketil Heimdal Norway 29 1.5k 1.2× 1.2k 1.2× 1.1k 1.6× 1.0k 1.7× 787 1.8× 103 3.6k
Victoria Murday United Kingdom 20 805 0.7× 566 0.6× 457 0.6× 411 0.7× 163 0.4× 35 1.9k
June A. Peters United States 21 1.1k 0.9× 586 0.6× 232 0.3× 435 0.7× 287 0.7× 66 2.2k
Henry T. Lynch United States 19 1.4k 1.1× 536 0.5× 1.1k 1.5× 820 1.4× 782 1.8× 27 2.3k
Christi J. van Asperen Netherlands 36 2.4k 1.9× 848 0.9× 564 0.8× 818 1.4× 708 1.7× 104 3.4k
Wendy McKinnon United States 25 1.1k 0.9× 921 0.9× 328 0.5× 403 0.7× 286 0.7× 46 3.3k
Margreet G.E.M. Ausems Netherlands 35 2.0k 1.6× 744 0.8× 638 0.9× 1.0k 1.7× 769 1.8× 157 3.6k
Susan M. White Australia 33 1.6k 1.3× 1.4k 1.5× 619 0.9× 541 0.9× 385 0.9× 113 3.5k
Cora M. Aalfs Netherlands 24 705 0.6× 473 0.5× 303 0.4× 658 1.1× 386 0.9× 81 1.9k
Mary B. Daly United States 18 3.0k 2.5× 787 0.8× 744 1.0× 768 1.3× 963 2.2× 36 3.6k

Countries citing papers authored by Graeme Suthers

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Suthers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graeme Suthers

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme Suthers. A scholar is included among the top collaborators of Graeme Suthers 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 Graeme Suthers. Graeme Suthers 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.
Bennetts, Bruce, Arthur Hsu, Simon Mead, et al.. (2014). Quality standards for DNA sequence variation databases to improve clinical management under development in Australia. PubMed. 3(3). 54–57. 2 indexed citations
2.
Beaudet, Arthur L., Mike Lyne, Graeme Suthers, et al.. (2012). Disease‐specific databases: Why we need them and some recommendations from the Human Variome Project Meeting, May 28, 2011. American Journal of Medical Genetics Part A. 158A(11). 2763–2766. 7 indexed citations
3.
Wakefield, Claire E., Bettina Meiser, Graeme Suthers, et al.. (2011). “For All My Family's Sake, I Should Go and Find Out”: An Australian Report on Genetic Counseling and Testing Uptake in Individuals at High Risk of Breast and/or Ovarian Cancer. Genetic Testing and Molecular Biomarkers. 15(6). 379–385. 21 indexed citations
4.
Worthley, Daniel L., Kerry Phillips, Kasmintan A. Schrader, et al.. (2011). Gastric adenocarcinoma and proximal polyposis of the stomach (GAPPS): a new autosomal dominant syndrome. Gut. 61(5). 774–779. 171 indexed citations
5.
Barlow‐Stewart, Kristine, et al.. (2009). Treatment‐focused DNA testing for newly diagnosed breast cancer patients: some implications for clinical practice. Clinical Genetics. 77(4). 350–354. 8 indexed citations
6.
Grist, Scott, Andrew Dubowsky, & Graeme Suthers. (2008). Evaluating DNA Sequence Variants of Unknown Biological Significance. Methods in molecular medicine. 141. 199–217. 3 indexed citations
7.
Worthley, Daniel L., Graeme Suthers, & Lara Lipton. (2008). Management of MUTYH‐associated neoplasia in Australia. Internal Medicine Journal. 38(8). 644–650. 1 indexed citations
8.
Suthers, Graeme. (2007). CANCER RISKS FOR AUSTRALIAN WOMEN WITH A BRCA1 OR A BRCA2 MUTATION. ANZ Journal of Surgery. 77(5). 314–319. 7 indexed citations
9.
Hitchins, Megan P., Justin Wong, Graeme Suthers, et al.. (2007). Inheritance of a Cancer-Associated MLH1 Germ-Line Epimutation. New England Journal of Medicine. 356(7). 697–705. 290 indexed citations
10.
Bai, Haibo, Scott Grist, Justin L. Gardner, et al.. (2006). Functional characterization of human MutY homolog (hMYH) missense mutation (R231L) that is linked with hMYH-associated polyposis. Cancer Letters. 250(1). 74–81. 31 indexed citations
11.
Waddell, Nicola, Anna Marsh, Scott Grist, et al.. (2006). Characterization of the breast cancer associated ATM 7271T>G (V2424G) mutation by gene expression profiling. Genes Chromosomes and Cancer. 45(12). 1169–1181. 13 indexed citations
12.
Chen, Celia S., et al.. (2003). Sarcoma and familial retinoblastoma. Clinical and Experimental Ophthalmology. 31(5). 392–396. 14 indexed citations
13.
Ruszkiewicz, Andrew, et al.. (2002). Correlation of mismatch repair genes immunohistochemistry and microsatellite instability status in HNPCC-associated tumours. Pathology. 34(6). 541–547. 76 indexed citations
14.
Lobb, Elizabeth, Phyllis Butow, Bettina Meiser, et al.. (2002). Tailoring communication in consultations with women from high risk breast cancer families. British Journal of Cancer. 87(5). 502–508. 56 indexed citations
15.
Suthers, Graeme, Dávid Dávid, & Bruce Clark. (1997). Fronto-facio-nasal dysplasia. Clinical Dysmorphology. 6(3). 245–249. 4 indexed citations
16.
Suthers, Graeme. (1996). Mutations, malformations and mortality. Journal of Paediatrics and Child Health. 32(1). 10–15. 5 indexed citations
17.
Yu, Shuancang, Graeme Suthers, & John C. Mulley. (1990). ABc/l RFLP forDXS296(VK21) near the fragile X. Nucleic Acids Research. 18(3). 690–690. 6 indexed citations
18.
Hyland, V.J., Graeme Suthers, Kathryn Friend, et al.. (1990). Probe, VK5B, is located in the same interval as the autosomal dominant adult polycystic kidney disease locus, PKD1. Human Genetics. 84(3). 286–8. 23 indexed citations
19.
Suthers, Graeme, K E Davies, Elizabeth Baker, & G.R. Sutherland. (1989). TaqI RFLP identified by probe 1A1 [DXS374] at Xq28. Nucleic Acids Research. 17(21). 8901–8901. 2 indexed citations
20.
Suthers, Graeme, L. P. Roy, & Michael Stevens. (1987). Control of nephroblastoma: Associated hypertension and polydipsia by captopril. Journal of Paediatrics and Child Health. 23(4). 245–246. 4 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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