John V. Pearson

56.4k citations
59 papers · 3.7k indexed · 2 hit papers · h-index 24

John V. Pearson

58 papers receiving 3.6k citations

Hit Papers

Deep learning in cance...5242008202620142020250500750

Peers

John V. Pearson
Comparison fields: 5 of 161
  • Health Informatics 76
  • Cancer Research 659
  • Genetics 745
  • Molecular Biology 1.8k
  • Oncology 566
Replace Pingzhao Hu with:
Pingzhao Hu Canada
Casey S. Greene United States
Saurabh Saha United States
Nicola Waddell Australia
Daniele Merico Canada
Mikael Lundin Finland
Michael Krauthammer United States
James C. Costello United States
Suzanne D. Conzen United States
Maciej Wiznerowicz Poland
John V. Pearson relative to Pingzhao Hu Canada Pingzhao Hu's profile →
Citations per field
00.5×1.5×2.2×
Pingzhao Hu · 1×
Citations per year

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

The 25 scholars most cited alongside John V. Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John V. Pearson Line = papers co-authored together John V. Pearson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20239
3 20233
4 202322
5 202014
6 20191
7 20195
8 201942
9 201920
10
Diffquik Stained Cytology Smears Provide Improved Malignant Cell Dna Yields From Lymph Nodes At Endobronchial Ultrasound Transbronchial Needle Aspiration (Ebus-Tbna)
20171
11 2015234
12 201414
13 201134
14 2011258
15 2010134
16 200820
17 200761
18 2006312
19 200639
20 199983

About John V. Pearson

John V. Pearson is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 59 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), Cutaneous Melanoma Detection and Management (6 papers), Single-cell and spatial transcriptomics (5 papers), Genetic Associations and Epidemiology (5 papers), Genetic factors in colorectal cancer (5 papers), Genomics and Rare Diseases (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Health Informatics (76 citations), Cancer Research (659 citations) and Genetics (745 citations). John V. Pearson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent 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. Their work appears in journals such as Scientific Reports, Cancers, Journal of Endocrinology, Bioinformatics and Nucleic Acids Research.

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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