Pam K. Mangat
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 12
- Oncology top 5%
- Colorectal Cancer Treatments and Studies 13
- PARP inhibition in cancer therapy 8
- Cancer Immunotherapy and Biomarkers 6
- Pancreatic and Hepatic Oncology Research 6
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- Lung Cancer Treatments and Mutations 16
- Advanced Breast Cancer Therapies 14
- Statistics and Probability top 5%
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- BRCA gene mutations in cancer 5
- Co-authors
- Richard L. SchilskyElizabeth Garrett‐MayerSusan HalabiEugene R. AhnSuanna S. BruinoogeAndrew L. RygielKaitlyn R. AntonelliKathleen J. Yost
- Journals
- Journal of Clinical Oncology (22 papers)Cancer Research (5 papers)Annals of Oncology (2 papers)
- Partner nations
- United States
In The Last Decade
Pam K. Mangat
43 papers receiving 641 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 322
- Oncology 468
- Pulmonary and Respiratory Medicine 273
- Statistics and Probability 49
- Pathology and Forensic Medicine 99
Countries citing papers authored by Pam K. Mangat
This map shows the geographic impact of Pam K. Mangat'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 Pam K. Mangat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pam K. Mangat more than expected).
Fields of papers citing papers by Pam K. Mangat
This network shows the impact of papers produced by Pam K. Mangat. 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 Pam K. Mangat. The network helps show where Pam K. Mangat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pam K. Mangat, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 16 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 26 | |
| 19 | 2020 | 30 | |
| 20 | 2019 | 2 |
About Pam K. Mangat
Pam K. Mangat is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 47 papers that have together received 644 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Advanced Breast Cancer Therapies (14 papers), Colorectal Cancer Treatments and Studies (13 papers), Cancer Genomics and Diagnostics (12 papers), PARP inhibition in cancer therapy (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Cancer Research (322 citations), Oncology (468 citations) and Pulmonary and Respiratory Medicine (273 citations). Pam K. Mangat has collaborated with scholars based in United States. Frequent co-authors include Richard L. Schilsky, Elizabeth Garrett‐Mayer, Susan Halabi, Eugene R. Ahn, Suanna S. Bruinooge, Andrew L. Rygiel, Kaitlyn R. Antonelli, Kathleen J. Yost, Ajjai Alva and Timothy Lewis Cannon. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Annals of 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.