John Doll

1.0k citations
6 papers · 947 · h-index 6

Impact in

Papers in

    • Cancer Genomics and Diagnostics 4
    • Cancer Cells and Metastasis 2
    • Cutaneous Melanoma Detection and Management 1

John Doll

6 papers receiving 823 citations

Peers

John Doll
Comparison fields: 5 of 74
  • Cancer Research 387
  • Immunology and Allergy 115
  • Oncology 449
  • Biotechnology 119
  • Cell Biology 130
Replace A. Lagarde with:
A. Lagarde Canada
Shirley M. Walker United States
Jadranka Jambrosic United States
Christine H. Blood United States
Vanessa Baeriswyl Switzerland
Grace Ziegler United States
Nomeda Girnius United States
A Frankel Canada
Martine H. van Miltenburg Netherlands
Jonathan A. Hickson United States
John Doll relative to A. Lagarde Canada A. Lagarde's profile →
Citations per field
00.5×2×3×3.8×
A. Lagarde · 1×
Citations per year

Countries citing papers authored by John Doll

Since Specialization
Citations

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

Fields of papers citing papers by John Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside John Doll, 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 Doll Line = papers co-authored together John Doll links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
In vitro selection of murine B16 melanoma variants with enhanced tissue-invasive properties.
1980384
2 1981273
3 1982119
4
Comparison of the metastatic properties of B16 melanoma clones isolated from cultured cell lines, subcutaneous tumors, and individual lung metastases.
198295
5 198453
6 198623

About John Doll

John Doll is a scholar working on Cancer Research, Oncology, Molecular Biology, Biotechnology and Genetics, having authored 6 papers that have together received 947 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (2 papers), Molecular Biology Techniques and Applications (2 papers), Melanoma and MAPK Pathways (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Protein Degradation and Inhibitors (1 paper), Click Chemistry and Applications (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cancer Research (387 citations), Immunology and Allergy (115 citations), Oncology (449 citations), Biotechnology (119 citations) and Cell Biology (130 citations). John Doll has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include George H. Poste, Isaiah J. Fidler, Ian R. Hart, Irving Zeidman, RUSSELL G. GREIG, Jeh-En Tzeng, David J. Rieman, Arthur Edward Brown, John R. Sheppard and Bruce R. Lester. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer, Nature and PubMed.

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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