John V. Pearson

56.4k total citations · 2 hit papers
59 papers, 3.7k citations indexed

About

John V. Pearson is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, John V. Pearson has authored 59 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in John V. Pearson's work include Cancer Genomics and Diagnostics (21 papers), Cutaneous Melanoma Detection and Management (6 papers) and Single-cell and spatial transcriptomics (5 papers). John V. Pearson is often cited by papers focused on Cancer Genomics and Diagnostics (21 papers), Cutaneous Melanoma Detection and Management (6 papers) and Single-cell and spatial transcriptomics (5 papers). John V. Pearson collaborates with scholars based in Australia, United States and United Kingdom. John V. Pearson's co-authors include Nicola Waddell, David W. Craig, Szabolcs Szelinger, Dietrich A. Stephan, Nils Homer, Olga Kondrashova, Khoa Tran, Elizabeth D. Williams, Andrew P. Bradley and Waibhav Tembe and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

John V. Pearson

58 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays

2008 757 citations John V. Pearson, David W. Craig et al. profile →
Deep learning in cancer diagnosis, prognosis and treatment selection

2021 524 citations Olga Kondrashova, John V. Pearson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John V. Pearson Australia	24	1.8k	745	659	566	566	59	3.7k
Pingzhao Hu Canada	38	2.2k 1.3×	687 0.9×	668 1.0×	370 0.7×	407 0.7×	167	4.3k
David Van Den Berg United States	34	2.3k 1.3×	713 1.0×	600 0.9×	693 1.2×	466 0.8×	88	5.2k
David Duggan United States	37	3.3k 1.9×	1.5k 2.1×	817 1.2×	609 1.1×	414 0.7×	111	6.0k
Daniele Merico Canada	31	3.8k 2.2×	1.6k 2.1×	1.1k 1.6×	536 0.9×	248 0.4×	78	6.6k
Casey S. Greene United States	38	2.8k 1.6×	787 1.1×	457 0.7×	219 0.4×	699 1.2×	144	4.9k
Ali Torkamani United States	44	3.6k 2.0×	2.2k 2.9×	734 1.1×	409 0.7×	383 0.7×	119	7.1k
Vincent Ferretti Canada	21	1.5k 0.9×	434 0.6×	569 0.9×	397 0.7×	231 0.4×	42	2.8k
Lisa Bailey United States	25	1.5k 0.8×	1.4k 1.8×	896 1.4×	749 1.3×	198 0.3×	61	3.9k
Momiao Xiong United States	39	2.3k 1.3×	1.9k 2.5×	348 0.5×	327 0.6×	250 0.4×	123	4.5k
Jonathan D. Wren United States	48	3.6k 2.1×	637 0.9×	845 1.3×	476 0.8×	301 0.5×	193	7.6k

Countries citing papers authored by John V. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by John V. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John V. Pearson. 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 John V. Pearson. The network helps show where John V. Pearson may publish in the future.

Co-authorship network of co-authors of John V. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of John V. Pearson. A scholar is included among the top collaborators of John V. Pearson 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 John V. Pearson. John V. Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Aoude, Lauren G., Sandra Brosda, Jessica Ng, et al.. (2023). Circulating Tumor DNA. Journal of Molecular Diagnostics. 25(10). 771–781. 9 indexed citations

Fielding, David, Andrew J. Dalley, Mahendra Singh, et al.. (2023). Whole Genome Sequencing in Advanced Lung Cancer can be Performed Using Diff-Quik Cytology Smears Derived from Endobronchial Ultrasound, Transbronchial Needle Aspiration (EBUS TBNA). Lung. 201(4). 407–413.

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

Vidgen, Miranda E., et al.. (2021). Ask the people: developing guidelines for genomic research with Aboriginal and Torres Strait Islander peoples. BMJ Global Health. 6(11). e007259–e007259. 9 indexed citations

Edwards, Jarem, Peter M. Ferguson, Serigne Lo, et al.. (2020). Tumor Mutation Burden and Structural Chromosomal Aberrations Are Not Associated with T-cell Density or Patient Survival in Acral, Mucosal, and Cutaneous Melanomas. Cancer Immunology Research. 8(11). 1346–1353. 14 indexed citations

Fennell, Lochlan, Jennifer Borowsky, Diane McKeone, et al.. (2020). Alterations in signaling pathways that accompany spontaneous transition to malignancy in a mouse model of BRAF mutant microsatellite stable colorectal cancer. Neoplasia. 22(2). 120–128. 11 indexed citations

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

Metke‐Jimenez, Alejandro, et al.. (2019). A SMART on FHIR Prototype for Genomic Test Ordering. Studies in health technology and informatics. 266. 121–126. 5 indexed citations

Bradford, DanaKai, et al.. (2019). Understanding the Barriers to Genomic Healthcare in Queensland Through an Information Management Lens. Studies in health technology and informatics. 266. 37–43. 1 indexed citations

10.

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

11.

Dick, Ian M., Gary Lee, Arthur W. Musk, et al.. (2018). Malignant cells from pleural fluids in malignant mesothelioma patients reveal novel mutations. Lung Cancer. 119. 64–70. 20 indexed citations

12.

Fielding, David, Andrew J. Dalley, Farzad Bashirzadeh, et al.. (2017). Diffquik Stained Cytology Smears Provide Improved Malignant Cell Dna Yields From Lymph Nodes At Endobronchial Ultrasound Transbronchial Needle Aspiration (Ebus-Tbna). Respirology. 22. 100–100. 1 indexed citations

13.

Hardie, Rae‐Anne, Mark J. Cowley, Ting-Li Han, et al.. (2017). Mitochondrial mutations and metabolic adaptation in pancreatic cancer. Cancer & Metabolism. 5(1). 2–2. 52 indexed citations

14.

Johansson, Peter A., Antonia L. Pritchard, Ann‐Marie Patch, et al.. (2016). Mutation load in melanoma is affected by MC1R genotype. Pigment Cell & Melanoma Research. 30(2). 255–258. 16 indexed citations

15.

Robbins, Christiane M., Angela Baker, Shripad Sinari, et al.. (2010). Copy number and targeted mutational analysis reveals novel somatic events in metastatic prostate tumors. Genome Research. 21(1). 47–55. 134 indexed citations

16.

Balagurunathan, Yoganand, David L. Morse, Galen Hostetter, et al.. (2008). Gene expression profiling-based identification of cell-surface targets for developing multimeric ligands in pancreatic cancer. Molecular Cancer Therapeutics. 7(9). 3071–3080. 20 indexed citations

17.

Huentelman, Matthew J., Andreas Papassotiropoulos, David W. Craig, et al.. (2007). Calmodulin-binding transcription activator 1 ( CAMTA1 ) alleles predispose human episodic memory performance. Human Molecular Genetics. 16(12). 1469–1477. 61 indexed citations

18.

Papassotiropoulos, Andreas, Dietrich Stephan, Matthew J. Huentelman, et al.. (2006). Common Kibra Alleles Are Associated with Human Memory Performance. Science. 314(5798). 475–478. 312 indexed citations

19.

Coon, Keith D., Jon Valla, Lonnie Schneider, et al.. (2006). Quantitation of heteroplasmy of mtDNA sequence variants identified in a population of AD patients and controls by array-based resequencing. Mitochondrion. 6(4). 194–210. 39 indexed citations

20.

McGregor, B. A., J. Pfitzner, Gu Zhu, et al.. (1999). Genetic and environmental contributions to size, color, shape, and other characteristics of melanocytic naevi in a sample of adolescent twins. Genetic Epidemiology. 16(1). 40–53. 83 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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