Dan Freeman

594 citations
7 papers · 484 · h-index 6

Impact in

    • Cytokine Signaling Pathways and Interactions
    • PI3K/AKT/mTOR signaling in cancer
    • Bone Metabolism and Diseases

Papers in

    • Cytokine Signaling Pathways and Interactions 1
    • Colorectal Cancer Treatments and Studies 1
    • Cancer Immunotherapy and Biomarkers 1
    • PI3K/AKT/mTOR signaling in cancer 3

Dan Freeman

7 papers receiving 473 citations

Peers

Dan Freeman
Comparison fields: 5 of 75
  • Oncology 127
  • Molecular Biology 144
  • Cellular and Molecular Neuroscience 26
  • Organic Chemistry 44
  • Developmental Neuroscience 4
Replace Michael Linn with:
Michael Linn United States
Donna M. Gadbois United States
Brinley F. Furey United States
Francesca Saccani Italy
Folkert Verkaar Netherlands
Nanding Zhao United States
Peter M. Syka United States
Laura Beatriz Todaro Argentina
Colin Carlock United States
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Dan Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Dan Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1999219
2 2011106
3 200688
4 200628
5 201927
6 202015
7
Association of somatic kRAS gene mutations and clinical outcome from a phase 2 mCRC trial of panitumumab
20071

About Dan Freeman

Dan Freeman is a scholar working on Oncology, Molecular Biology, Plant Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 484 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Cytokine Signaling Pathways and Interactions (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Smart Agriculture and AI (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (127 citations), Molecular Biology (144 citations), Cellular and Molecular Neuroscience (26 citations), Organic Chemistry (44 citations) and Developmental Neuroscience (4 citations). Dan Freeman has collaborated with scholars based in United States and Spain. Frequent co-authors include Giorgio Senaldi, Thomas C. Boone, Brian C. Varnum, Christine L. Shaklee, Jennifer S. McNinch, Jane Guo, Charlie O. Starnes, Sheila A. Scully, Ulla M. Sarmiento and W. Scott Simonet. Their work appears in journals such as Clinical Cancer Research, JCI Insight, Cancer Research, Journal of Medicinal Chemistry and Proceedings of the National Academy of Sciences.

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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