Vanessa M. Hayes

5.8k total citations
95 papers, 2.4k citations indexed

About

Vanessa M. Hayes is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Vanessa M. Hayes has authored 95 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 32 papers in Pulmonary and Respiratory Medicine and 31 papers in Genetics. Recurrent topics in Vanessa M. Hayes's work include Prostate Cancer Treatment and Research (27 papers), Cancer Genomics and Diagnostics (14 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Vanessa M. Hayes is often cited by papers focused on Prostate Cancer Treatment and Research (27 papers), Cancer Genomics and Diagnostics (14 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Vanessa M. Hayes collaborates with scholars based in Australia, South Africa and United States. Vanessa M. Hayes's co-authors include Desiree C. Petersen, Riana Bornman, Eva K.F. Chan, Elizabeth A. Tindall, Ruth J. Lyons, John L. Hopper, Melissa C. Southey, Emma J.D. Padilla, Graham G. Giles and Gianluca Severi and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Vanessa M. Hayes

94 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa M. Hayes Australia 31 993 582 570 462 454 95 2.4k
Sándor Spisák Hungary 29 1.3k 1.3× 377 0.6× 572 1.0× 585 1.3× 653 1.4× 71 2.4k
Andrew Stubbs Netherlands 27 1.3k 1.3× 242 0.4× 370 0.6× 425 0.9× 729 1.6× 102 2.9k
Pieter de Jong United States 17 1.8k 1.9× 600 1.0× 1.1k 1.9× 406 0.9× 327 0.7× 27 3.1k
Maria Doyle Australia 22 993 1.0× 394 0.7× 211 0.4× 341 0.7× 582 1.3× 44 2.0k
Cynthia L. Fisher United Kingdom 26 1.6k 1.6× 530 0.9× 343 0.6× 969 2.1× 361 0.8× 39 3.0k
Gareth A. Wilson United Kingdom 23 1.2k 1.2× 434 0.7× 248 0.4× 319 0.7× 622 1.4× 38 2.3k
Darrell L. Ellsworth United States 27 967 1.0× 845 1.5× 146 0.3× 402 0.9× 514 1.1× 74 2.5k
Bruce Turner United States 25 997 1.0× 546 0.9× 246 0.4× 803 1.7× 795 1.8× 80 2.5k
Rainer Lehtonen Finland 26 907 0.9× 364 0.6× 357 0.6× 386 0.8× 569 1.3× 69 2.3k
Scott Newman United States 26 1.0k 1.0× 823 1.4× 206 0.4× 423 0.9× 512 1.1× 81 2.3k

Countries citing papers authored by Vanessa M. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa M. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa M. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa M. Hayes. A scholar is included among the top collaborators of Vanessa M. Hayes 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 Vanessa M. Hayes. Vanessa M. Hayes 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.
Fellner, Avi, Matthew Hobbs, Ira W. Deveson, et al.. (2024). An Inversion Affecting the GCH1 Gene as a Novel Finding in Dopa‐Responsive Dystonia. Movement Disorders Clinical Practice. 11(5). 582–585. 2 indexed citations
2.
Hayes, Vanessa M., Sean M. Patrick, Joyce Shirinde, et al.. (2024). Health Equity Research Outcomes and Improvement Consortium Prostate Cancer Health Precision Africa1K: Closing the Health Equity Gap Through Rural Community Inclusion. SHILAP Revista de lepidopterología. 22(2). 144–149. 4 indexed citations
3.
Hayes, Vanessa M., Tingting Gong, Shingai B.A. Mutambirwa, Weerachai Jaratlerdsiri, & Riana Bornman. (2023). African inclusion in prostate cancer genomic studies provides the first glimpses into addressing health disparities through tailored clinical care. Clinical and Translational Medicine. 13(1). e1142–e1142. 5 indexed citations
4.
Mutambirwa, Shingai B.A., Zsofia Kote‐Jarai, Weerachai Jaratlerdsiri, et al.. (2023). Evaluating Germline Testing Panels in Southern African Males With Advanced Prostate Cancer. Journal of the National Comprehensive Cancer Network. 21(3). 289–296.e3. 13 indexed citations
5.
Petersen, Desiree C., Sean M. Patrick, Raymond Campbell, et al.. (2023). Prostate cancer genetic risk and associated aggressive disease in men of African ancestry. Nature Communications. 14(1). 8037–8037. 10 indexed citations
6.
Marivate, Vukosi, et al.. (2023). A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application. BMC Bioinformatics. 24(1). 112–112. 21 indexed citations
7.
Patrick, Sean M., Raymond Campbell, Muvhulawa Obida, et al.. (2023). Linking African ancestral substructure to prostate cancer health disparities. Scientific Reports. 13(1). 20909–20909. 3 indexed citations
8.
Gong, Tingting, Vanessa M. Hayes, & Eva K.F. Chan. (2020). Detection of somatic structural variants from short-read next-generation sequencing data. Briefings in Bioinformatics. 22(3). 34 indexed citations
9.
Goncearenco, Alexander, Hanna M. Petrykowska, Weerachai Jaratlerdsiri, et al.. (2020). DNA methylation profiles unique to Kalahari KhoeSan individuals. Epigenetics. 16(5). 537–553. 2 indexed citations
10.
Crumbaker, Megan, Eva K.F. Chan, Tingting Gong, et al.. (2020). The Impact of Whole Genome Data on Therapeutic Decision-Making in Metastatic Prostate Cancer: A Retrospective Analysis. Cancers. 12(5). 1178–1178. 5 indexed citations
11.
Goncearenco, Alexander, Hanna M. Petrykowska, Weerachai Jaratlerdsiri, et al.. (2019). MethylToSNP: identifying SNPs in Illumina DNA methylation array data. Epigenetics & Chromatin. 12(1). 79–79. 26 indexed citations
12.
Feng, Ye, Varune Rohan Ramnarine, Robert H. Bell, et al.. (2019). Metagenomic and metatranscriptomic analysis of human prostate microbiota from patients with prostate cancer. BMC Genomics. 20(1). 146–146. 101 indexed citations
13.
Jaratlerdsiri, Weerachai, Eva K.F. Chan, Tingting Gong, et al.. (2018). Whole-Genome Sequencing Reveals Elevated Tumor Mutational Burden and Initiating Driver Mutations in African Men with Treatment-Naïve, High-Risk Prostate Cancer. Cancer Research. 78(24). 6736–6746. 58 indexed citations
14.
Chan, Eva K.F., Rae‐Anne Hardie, Desiree C. Petersen, et al.. (2015). Revised Timeline and Distribution of the Earliest Diverged Human Maternal Lineages in Southern Africa. PLoS ONE. 10(3). e0121223–e0121223. 26 indexed citations
15.
Tindall, Elizabeth A., Gianluca Severi, Melissa C. Southey, et al.. (2012). Interleukin‐6 promoter variants, prostate cancer risk, and survival. The Prostate. 72(16). 1701–1707. 21 indexed citations
16.
Tindall, Elizabeth A. & Vanessa M. Hayes. (2010). Comprehensive Sequence Analysis of the Human IL23A Gene Defines New Variation Content and High Rate of Evolutionary Conservation. DNA Research. 17(2). 117–122. 11 indexed citations
17.
Miller, Webb, Stephen J. Wright, Yu Zhang, Stephan C. Schuster, & Vanessa M. Hayes. (2010). Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species.. 43–53. 1 indexed citations
18.
Tindall, Elizabeth A., et al.. (2010). Interpretation of custom designed Illumina genotype cluster plots for targeted association studies and next-generation sequence validation. BMC Research Notes. 3(1). 39–39. 23 indexed citations
19.
Stone, Jennifer, Lyle C. Gurrin, Graham Byrnes, et al.. (2007). Mammographic Density and Candidate Gene Variants: A Twins and Sisters Study. Cancer Epidemiology Biomarkers & Prevention. 16(7). 1479–1484. 30 indexed citations
20.
Petersen, Desiree C., Maritha J. Kotze, M. Zeier, et al.. (2001). Novel mutations identified using a comprehensive CCR5-denaturing gradient gel electrophoresis assay. AIDS. 15(2). 171–177. 27 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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