Thomas Botton

4.9k citations
14 papers · 2.1k · 1 hit paper · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management

Papers in

    • Melanoma and MAPK Pathways 7
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Cutaneous Melanoma Detection and Management 2
    • Cytokine Signaling Pathways and Interactions 1

Thomas Botton

14 papers receiving 2.1k citations

Thomas Botton's Hit Papers

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing 2016 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Thomas Botton
Comparison fields: 5 of 93
  • Cancer Research 702
  • Oncology 821
  • Molecular Biology 1.2k
  • Pathology and Forensic Medicine 245
  • Cell Biology 182
Replace Tatiana Popova with:
Tatiana Popova France
Madhu Kumar India
Ru‐Fang Yeh United States
Sara Piccinin Italy
I D Goldberg United States
Mitchell Cheung United States
Yoko Itahana United States
Andreas Gast Germany
Paola Ghiorzo Italy
Nadem Soufir France
Thomas Botton relative to Tatiana Popova France Tatiana Popova's profile →
Citations per field
00.5×1.5×2.2×
Tatiana Popova · 1×
Citations per year

Countries citing papers authored by Thomas Botton

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Botton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing
Hit paper breakdown →
20161090
2 2011250
3 2011172
4 2015120
5 2016119
6 201396
7 201886
8 201972
9 200947
10 201030
11 202119
12 201012
13 20183
14 20231

About Thomas Botton

Thomas Botton is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 14 papers that have together received 2.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer Mechanisms and Therapy (2 papers), Pancreatic function and diabetes (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (702 citations), Oncology (821 citations), Molecular Biology (1.2k citations), Pathology and Forensic Medicine (245 citations) and Cell Biology (182 citations). Thomas Botton has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Boris C. Bastian, A. Hunter Shain, Eric Talevich, Robert Ballotti, Stéphane Rocchi, Philippe Bahadoran, Corine Bertolotto, Iwei Yeh, María C. Garrido and Timothy H. McCalmont. Their work appears in journals such as Cell Death and Disease, Cancer Cell, PLoS Computational Biology, Nature Communications and Cell Reports.

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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