Gregory A. Vidal

3.1k citations
81 papers · 1.3k · h-index 18

Impact in

  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • PARP inhibition in cancer therapy
    • Cancer survivorship and care
    • Cytokine Signaling Pathways and Interactions

Papers in

    • HER2/EGFR in Cancer Research 7
    • Cancer survivorship and care 7
    • Global Cancer Incidence and Screening 7
    • Cancer Treatment and Pharmacology 6
    • Advanced Breast Cancer Therapies 17
    • Lung Cancer Treatments and Mutations 7

Gregory A. Vidal

68 papers receiving 1.3k citations

Peers

Gregory A. Vidal
Comparison fields: 5 of 93
  • Oncology 686
  • Family Practice 32
  • Cancer Research 148
  • Immunology and Allergy 58
  • Radiology, Nuclear Medicine and Imaging 172
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Citations per field
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Citations per year

Countries citing papers authored by Gregory A. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Gregory A. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory A. Vidal. 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 Gregory A. Vidal. The network helps show where Gregory A. Vidal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004221
2 2006175
3 2018111
4 2005110
5 201995
6 201869
7 202042
8 200641
9 202230
10 202129
11 201724
12 202224
13 201920
14 202020
15 202019
16 202018
17 202217
18 201917
19 202016
20 201816

About Gregory A. Vidal

Gregory A. Vidal is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Genetics, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (17 papers), Breast Cancer Treatment Studies (8 papers), Cancer Genomics and Diagnostics (8 papers), HER2/EGFR in Cancer Research (7 papers), Cancer survivorship and care (7 papers), Global Cancer Incidence and Screening (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Treatment and Pharmacology (6 papers). The work is most often cited by research in Oncology (686 citations), Family Practice (32 citations), Cancer Research (148 citations), Immunology and Allergy (58 citations) and Radiology, Nuclear Medicine and Imaging (172 citations). Gregory A. Vidal has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Luis Marrero, Frank E. Jones, Lee S. Schwartzberg, Anjali Naresh, Ilana Graetz, Christopher C. Williams, Matthew E. Burow, Barbara S. Beckman, Janeane N. Anderson and Athena Starlard‐Davenport. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Breast Cancer, Journal of Cancer Survivorship and JAMA Network Open.

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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