Scott Wood

24.9k total citations
21 papers, 271 citations indexed

About

Scott Wood is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Scott Wood has authored 21 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Scott Wood's work include Cancer Genomics and Diagnostics (7 papers), Protein Degradation and Inhibitors (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Scott Wood is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Protein Degradation and Inhibitors (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Scott Wood collaborates with scholars based in Australia, United States and Sweden. Scott Wood's co-authors include Nicola Waddell, John V. Pearson, Kátia Nones, Lambros T. Koufariotis, Anil K. Madugundu, Shivashankar H. Nagaraj, Alun Jones, Sean M. Grimmond, Andrew P. Barbour and In Sock Jang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Blood.

In The Last Decade

Scott Wood

21 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Wood Australia 10 180 91 71 37 35 21 271
Cathy Lan Canada 9 184 1.0× 102 1.1× 125 1.8× 51 1.4× 22 0.6× 10 296
Srilatha Nalluri United States 9 296 1.6× 61 0.7× 61 0.9× 31 0.8× 12 0.3× 9 369
Larissa Georgeon Richard United States 4 205 1.1× 153 1.7× 66 0.9× 27 0.7× 40 1.1× 5 330
Björn Häupl Germany 10 149 0.8× 73 0.8× 51 0.7× 23 0.6× 21 0.6× 22 252
Lejie Cao China 10 190 1.1× 161 1.8× 51 0.7× 154 4.2× 12 0.3× 17 372
Sarit Schwartz United States 4 149 0.8× 61 0.7× 44 0.6× 84 2.3× 6 0.2× 8 211
Tobias Götze Germany 7 163 0.9× 86 0.9× 42 0.6× 22 0.6× 19 0.5× 10 302
Amy J. VanMeter United States 7 276 1.5× 63 0.7× 49 0.7× 27 0.7× 96 2.7× 7 348
Sara Cattelani United States 8 247 1.4× 109 1.2× 76 1.1× 21 0.6× 4 0.1× 11 360
Yu Weng China 11 186 1.0× 83 0.9× 133 1.9× 33 0.9× 4 0.1× 14 333

Countries citing papers authored by Scott Wood

Since Specialization
Citations

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

Fields of papers citing papers by Scott Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Wood. A scholar is included among the top collaborators of Scott Wood 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 Scott Wood. Scott Wood 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.
Aoude, Lauren G., Sandra Brosda, Jessica Ng, et al.. (2023). Circulating Tumor DNA. Journal of Molecular Diagnostics. 25(10). 771–781. 9 indexed citations
2.
Lonie, James M., Sandra Brosda, Vanessa Bonazzi, et al.. (2023). The oesophageal adenocarcinoma tumour immune microenvironment dictates outcomes with different modalities of neoadjuvant therapy – results from the AGITG DOCTOR trial and the cancer evolution biobank. Frontiers in Immunology. 14. 1220129–1220129. 6 indexed citations
3.
Yap, Melvyn, Rebecca L. Johnston, Lambros T. Koufariotis, et al.. (2023). Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology. Scientific Reports. 13(1). 7395–7395. 3 indexed citations
4.
Tran, Khoa, Venkateswar Addala, Rebecca L. Johnston, et al.. (2023). Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. Nature Communications. 14(1). 5758–5758. 22 indexed citations
5.
Kojic, Marija, Mellissa Maybury, Nicola Waddell, et al.. (2023). Efficient detection and monitoring of pediatric brain malignancies with liquid biopsy based on patient-specific somatic mutation screening. Neuro-Oncology. 25(8). 1507–1517. 19 indexed citations
6.
Bonazzi, Vanessa, Lauren G. Aoude, Sandra Brosda, et al.. (2022). ctDNA as a biomarker of progression in oesophageal adenocarcinoma. ESMO Open. 7(3). 100452–100452. 15 indexed citations
7.
Kondrashova, Olga, Conrad Leonard, Scott Wood, et al.. (2022). Analysis of hereditary cancer gene variant classifications from ClinVar indicates a need for regular reassessment of clinical assertions. Human Mutation. 43(12). 2054–2062. 5 indexed citations
8.
Holmes, Oliver, Kátia Nones, Yue Tang, et al.. (2022). qmotif: determination of telomere content from whole-genome sequence data. Bioinformatics Advances. 2(1). vbac005–vbac005. 6 indexed citations
9.
Carrancio, Soraya, Celia Fontanillo, Ryan Galasso, et al.. (2022). Abstract 3932: Pathway interaction and mechanistic synergy of CC-99282, a novel cereblon E3 ligase modulator (CELMoD) agent, with enhancer of zeste homolog 2 inhibitors (EZH2is). Cancer Research. 82(12_Supplement). 3932–3932. 2 indexed citations
10.
11.
Lopez‐Girona, Antonia, Lynda Groocock, Zhongying Mo, et al.. (2021). CC‐99282 IS A NOVEL CEREBLON E3 LIGASE MODULATOR (CELMOD) AGENT WITH POTENT AND BROAD ANTITUMOR ACTIVITY IN PRECLINICAL MODELS OF DIFFUSE LARGE B‐CELL LYMPHOMA (DLBCL). Hematological Oncology. 39(S2). 4 indexed citations
12.
Aoude, Lauren G., Vanessa Bonazzi, Sandra Brosda, et al.. (2020). Pathogenic germline variants are associated with poor survival in stage III/IV melanoma patients. Scientific Reports. 10(1). 17687–17687. 12 indexed citations
13.
Newell, Felicity, Stephen H. Kazakoff, Günter Härtel, et al.. (2020). Using whole-genome sequencing data to derive the homologous recombination deficiency scores. npj Breast Cancer. 6(1). 33–33. 17 indexed citations
14.
Leonard, Conrad, Scott Wood, Oliver Holmes, et al.. (2019). Running Genomic Analyses in the Cloud. Studies in health technology and informatics. 266. 149–155. 2 indexed citations
15.
Nones, Kátia, Felicity Newell, Olga Kondrashova, et al.. (2019). Detection of actionable variants in various cancer types reveals value of whole-genome sequencing over in-silico whole-exome and hotspot panel sequencing. Annals of Oncology. 30. vii33–vii33. 1 indexed citations
16.
Lu, Gang, Mary E. Matyskiela, Xinde Zheng, et al.. (2018). UBE2G1 governs the destruction of cereblon neomorphic substrates. eLife. 7. 56 indexed citations
17.
Nagaraj, Shivashankar H., Nicola Waddell, Anil K. Madugundu, et al.. (2015). PGTools: A Software Suite for Proteogenomic Data Analysis and Visualization. Journal of Proteome Research. 14(5). 2255–2266. 44 indexed citations
18.
Wood, Scott & Michael Schertzer. (1992). Dinucleotide repeat polymorphism at the D8S137 locus on chromosome 8p. Nucleic Acids Research. 20(3). 643–643. 1 indexed citations
19.
Wood, Scott. (1974). Experimental studies on the spread of cancer, with special reference to fibrinolytic agents and anticoagulants.. PubMed. 5(1). 7–22. 21 indexed citations
20.
Wood, Scott, et al.. (1969). A case of leukaemia showing mixed myeloid-lymphoid characteristics and an unusual chromosome pattern.. Journal of Clinical Pathology. 22(6). 743.1–743.1. 9 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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