Janet Files
Impact in
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- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
Papers in
-
- Cancer Genomics and Diagnostics 4
- Breast Cancer Treatment Studies 2
- Oncology 4
- HER2/EGFR in Cancer Research 3
- Cancer Treatment and Pharmacology 1
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Sara M. Tolaney (6 shared papers)Nancy U. Lin (8 shared papers)Melissa E. Hughes (8 shared papers)Le Min (1 shared paper)Sarah Sammons (2 shared papers)Abigail Moore (2 shared papers)Deborah Dillon (4 shared papers)Neal I. Lindeman (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)American Journal of Clinical Pathology (1 paper)Neuro-Oncology (1 paper)Journal of Geriatric Oncology (1 paper)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Janet Files
5 papers receiving 23 citations
Peers
Comparison fields: 5 of 17
- Oncology 15
- Family Practice 1
- Cancer Research 6
- Pulmonary and Respiratory Medicine 10
- Geriatrics and Gerontology 1
Countries citing papers authored by Janet Files
This map shows the geographic impact of Janet 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 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 Files more than expected).
Fields of papers citing papers by Janet Files
This network shows the impact of papers produced by Janet 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 Files. The network helps show where Janet Files may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet Files, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 8 | |
| 2 | 2023 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2019 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2020 | 0 |
About Janet Files
Janet Files is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 8 papers that have together received 24 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), HER2/EGFR in Cancer Research (3 papers), Breast Cancer Treatment Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Brain Metastases and Treatment (2 papers), Pancreatic function and diabetes (1 paper), Cancer Treatment and Pharmacology (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Oncology (15 citations), Family Practice (1 citation), Cancer Research (6 citations), Pulmonary and Respiratory Medicine (10 citations) and Geriatrics and Gerontology (1 citation). Janet Files has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Sara M. Tolaney, Nancy U. Lin, Melissa E. Hughes, Le Min, Sarah Sammons, Abigail Moore, Deborah Dillon, Neal I. Lindeman, Marie E. McDonnell and Eric P. Winer. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, American Journal of Clinical Pathology, Neuro-Oncology and Journal of Geriatric Oncology.
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.