Sonya C. Chapman
Impact in
Papers in
-
- Advanced Breast Cancer Therapies 11
- Oncology 10
- Cancer-related Molecular Pathways 4
- HER2/EGFR in Cancer Research 4
- Lung Cancer Research Studies 2
- Co-authors
- Sara M. Tolaney (5 shared papers)Zhengyu Yang (3 shared papers)Arlene Chan (2 shared papers)Yanyun Chen (3 shared papers)Peter Kabos (2 shared papers)Gregory L. Price (3 shared papers)Andrew Wardley (1 shared paper)Seock‐Ah Im (1 shared paper)
- Journals
- Investigational New Drugs (2 papers)Frontiers in Oncology (2 papers)Clinical Cancer Research (1 paper)Clinical Breast Cancer (1 paper)Targeted Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Sonya C. Chapman
16 papers receiving 547 citations
Peers
Comparison fields: 5 of 48
- Oncology 412
- Genetics 128
- Pulmonary and Respiratory Medicine 363
- Cancer Research 86
- Immunology 85
Countries citing papers authored by Sonya C. Chapman
This map shows the geographic impact of Sonya C. Chapman'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 Sonya C. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonya C. Chapman more than expected).
Fields of papers citing papers by Sonya C. Chapman
This network shows the impact of papers produced by Sonya C. Chapman. 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 Sonya C. Chapman. The network helps show where Sonya C. Chapman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonya C. Chapman, 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 | 2020 | 173 | |
| 2 | 2020 | 144 | |
| 3 | 2021 | 47 | |
| 4 | 2022 | 46 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 |
About Sonya C. Chapman
Sonya C. Chapman is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Genetics, Epidemiology and Immunology, having authored 17 papers that have together received 552 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (11 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer-related Molecular Pathways (4 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Genomics and Diagnostics (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Lung Cancer Research Studies (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Oncology (412 citations), Genetics (128 citations), Pulmonary and Respiratory Medicine (363 citations), Cancer Research (86 citations) and Immunology (85 citations). Sonya C. Chapman has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Sara M. Tolaney, Zhengyu Yang, Arlene Chan, Yanyun Chen, Peter Kabos, Gregory L. Price, Andrew Wardley, Seock‐Ah Im, Stefania Zambelli and John Hilton. Their work appears in journals such as Investigational New Drugs, Frontiers in Oncology, Clinical Cancer Research, Clinical Breast Cancer and Targeted 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.