John Quackenbush

73.8k citations
293 papers · 29.2k indexed · 10 hit papers · h-index 75

Impact in

Papers in

    • Gene expression and cancer classification 93
    • Bioinformatics and Genomic Networks 85
    • Molecular Biology Techniques and Applications 33
    • Gene Regulatory Network Analysis 28
    • Genomics and Phylogenetic Studies 22
    • RNA modifications and cancer 22
    • Genomics and Chromatin Dynamics 17
    • Cancer-related molecular mechanisms research 20

John Quackenbush

287 papers receiving 28.6k citations

Hit Papers

Artificial intelligence in radiology 2018 · 2.3k citations
2.3k200020262008201710002.0k3.0k

Peers

John Quackenbush
Comparison fields: 5 of 214
  • Health Informatics 1.1k
  • Radiology, Nuclear Medicine and Imaging 6.0k
  • Cancer Research 3.3k
  • Molecular Biology 13.9k
  • Oncology 3.4k
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John Quackenbush relative to Atul J. Butte United States Atul J. Butte's profile →
Citations per field
00.5×6.7×
Atul J. Butte · 1×
Citations per year

Countries citing papers authored by John Quackenbush

Since Specialization
Citations

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

Fields of papers citing papers by John Quackenbush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Quackenbush, 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 Quackenbush Line = papers co-authored together John Quackenbush links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 20226
4 202016
5 201924
6 201863
7 20187
8 201739
9
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Hit paper breakdown →
2017304
10 201726
11 201645
12 201467
13 201379
14 201317
15 201225
16 200977
17 2008112
18
Molecular fingerprints and mechanisms of chemoresistance in ovarian cancer
20081
19 2006140
20
Knowledge-Based Access to the Bio-Medical Literature Ontologically-Grounded Experiments for the TREC 2003 Genomics Track
20032

About John Quackenbush

John Quackenbush is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 293 papers that have together received 29.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (93 papers), Bioinformatics and Genomic Networks (85 papers), Molecular Biology Techniques and Applications (33 papers), Gene Regulatory Network Analysis (28 papers), Genomics and Phylogenetic Studies (22 papers), RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (20 papers) and Genomics and Chromatin Dynamics (17 papers). The work is most often cited by research in Health Informatics (1.1k citations), Radiology, Nuclear Medicine and Imaging (6.0k citations), Cancer Research (3.3k citations), Molecular Biology (13.9k citations) and Oncology (3.4k citations). John Quackenbush has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Hugo J.W.L. Aerts, Chintan Parmar, Zlatko Trajanoski, Alexander Sturn, Ahmed Hosny, Benjamin Haibe‐Kains, Lawrence H. Schwartz, Joseph White, Eleanor Howe and Philippe Lambin. Their work appears in journals such as Bioinformatics, Genomics, Cancer Research, PLoS ONE and Genome biology.

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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