Janet L. Files

492 citations
11 papers · 318 · h-index 7

Impact in

    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics

Papers in

    • HER2/EGFR in Cancer Research 4
    • Cancer Immunotherapy and Biomarkers 1
    • Breast Cancer Treatment Studies 1

Janet L. Files

10 papers receiving 314 citations

Peers

Janet L. Files
Comparison fields: 5 of 21
  • Oncology 120
  • Cancer Research 55
  • Pulmonary and Respiratory Medicine 20
  • Molecular Biology 32
  • Immunology 7
Replace Erik Osterman with:
Erik Osterman Sweden
Amanda Zucker United States
Seri Park South Korea
Olivia Biasi Italy
Sudhir B. Malla United Kingdom
Pierre Foidart United States
Ken Pritzker Canada
Dong Hua China
Mathieu Pecqueux Germany
Fanglei You United States
Janet L. Files relative to Erik Osterman Sweden Erik Osterman's profile →
Citations per field
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Erik Osterman · 1×
Citations per year

Countries citing papers authored by Janet L. Files

Since Specialization
Citations

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

Fields of papers citing papers by Janet L. Files

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet L. Files. 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 Janet L. Files. The network helps show where Janet L. Files may publish in the future.

Co-authors

The 19 scholars most cited alongside Janet L. Files, 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 Janet L. Files Line = papers co-authored together Janet L. Files links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020148
2 202352
3 202443
4 202035
5 202212
6 202411
7 20237
8 20196
9 20253
10 20251
11 20260

About Janet L. Files

Janet L. Files is a scholar working on Oncology, Cancer Research, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 318 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Single-cell and spatial transcriptomics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Oncology (120 citations), Cancer Research (55 citations), Pulmonary and Respiratory Medicine (20 citations), Molecular Biology (32 citations) and Immunology (7 citations). Janet L. Files has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Sara Tolaney, Melissa E. Hughes, NU Lin, Tianyu Li, Le Min, Gregory John Kirkner, Marie Elizabeth McDonnell, Alyssa R. Martin, Neal Ian Lindeman and Danielle K. Manning. Their work appears in journals such as Clinical Cancer Research, JCO Precision Oncology, The Journal of Clinical Endocrinology & Metabolism, Nature Communications and American Journal of Clinical Pathology.

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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