John Sanborn

22.0k citations
24 papers · 12.7k · 4 hit papers · h-index 19

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer Genomics and Diagnostics 9
    • Cancer-related molecular mechanisms research 2
    • Glioma Diagnosis and Treatment 4

John Sanborn

24 papers receiving 12.5k citations

John Sanborn's Hit Papers

Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma 2016 · 518 citations
5180+5+10Years since publication2.0k4.0k6.0k

Peers

John Sanborn
Comparison fields: 5 of 121
  • Cancer Research 4.0k
  • Genetics 2.4k
  • Reproductive Medicine 1.8k
  • Oncology 3.0k
  • Molecular Biology 6.3k
Replace Ilana Perna with:
Ilana Perna United States
John G. Conboy United States
Pierre Neuvial France
Laetitia A Borsu United States
Roeland G. W. Verhaak United States
Ad Gillis Netherlands
Kosuke Yoshihara Japan
Diana Mandelker United States
Aviad Tsherniak United States
Angela G. Hadjipanayis United States
John Sanborn relative to Ilana Perna United States Ilana Perna's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Sanborn

Since Specialization
Citations

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

Fields of papers citing papers by John Sanborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrated genomic analyses of ovarian carcinoma
Hit paper breakdown →
20116345
2
The Somatic Genomic Landscape of Glioblastoma
Hit paper breakdown →
20133977
3
Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM
Hit paper breakdown →
2010598
4
Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma
Hit paper breakdown →
2016518
5 2015222
6 2009149
7 2015138
8 2016108
9 201493
10 200789
11 201388
12 201875
13 201068
14 201546
15 201542
16 202029
17 202028
18 201825
19 201322
20 201617

About John Sanborn

John Sanborn is a scholar working on Cancer Research, Genetics, Oncology, Molecular Biology and Genetics, having authored 24 papers that have together received 12.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Glioma Diagnosis and Treatment (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Genomics and Phylogenetic Studies (3 papers), Cancer-related molecular mechanisms research (2 papers), Molecular Biology Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Cancer Research (4.0k citations), Genetics (2.4k citations), Reproductive Medicine (1.8k citations), Oncology (3.0k citations) and Molecular Biology (6.3k citations). John Sanborn has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include David H. Haussler, Jingchun Zhu, Stephen Charles Benz, Charles Joseph Vaske, Christopher W. Szeto, Joshua M. Stuart, Dent A. Earl, Donna Karolchik, Robert M. Kuhn and Craig B. Lowe. Their work appears in journals such as Annals of Oncology, Cell, Cancer Cell, Nucleic Acids Research and Journal for ImmunoTherapy of Cancer.

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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