Colin D. Weekes
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 67
- Colorectal Cancer Treatments and Studies 18
- Cancer Treatment and Pharmacology 14
- Cancer Immunotherapy and Biomarkers 13
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 35
- Biotechnology top 2%
- Molecular Biology top 5%
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- Lung Cancer Treatments and Mutations 15
- Renal cell carcinoma treatment 11
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- Neuroendocrine Tumor Research Advances 13
- Co-authors
- Wells A. MessersmithSabine EckhardtStephen LeongJohn J. ArcaroliTodd M. PittsAntonio JimenoAik Choon TanJohn J. Tentler
- Cited by
- OncologyCancer ResearchBiotechnology
- Journals
- Journal of Clinical Oncology (57 papers)Annals of Oncology (11 papers)Clinical Cancer Research (8 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Colin D. Weekes
137 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Oncology 2.1k
- Cancer Research 758
- Biotechnology 259
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 634
Countries citing papers authored by Colin D. Weekes
This map shows the geographic impact of Colin D. Weekes'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 Colin D. Weekes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin D. Weekes more than expected).
Fields of papers citing papers by Colin D. Weekes
This network shows the impact of papers produced by Colin D. Weekes. 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 Colin D. Weekes. The network helps show where Colin D. Weekes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Colin D. Weekes, 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 | 7 | |
| 2 | 2024 | 1 | |
| 3 | Lymph-node-targeted, mKRAS-specific amphiphile vaccine in pancreatic and colorectal cancer: the phase 1 AMPLIFY-201 trialbreakdown → | 2024 | 124 |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2020 | 15 | |
| 11 | 2018 | 104 | |
| 12 | 2017 | 39 | |
| 13 | 2016 | 0 | |
| 14 | 2016 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2014 | 54 | |
| 17 | 2013 | 46 | |
| 18 | 2012 | 42 | |
| 19 | 2012 | 33 | |
| 20 | 1995 | 22 |
About Colin D. Weekes
Colin D. Weekes is a scholar working on Oncology, Cancer Research and Biotechnology, having authored 144 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (67 papers), Cancer Genomics and Diagnostics (35 papers), Colorectal Cancer Treatments and Studies (18 papers), Lung Cancer Treatments and Mutations (15 papers), Cancer Treatment and Pharmacology (14 papers), Neuroendocrine Tumor Research Advances (13 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Renal cell carcinoma treatment (11 papers). The work is most often cited by research in Oncology (2.1k citations), Cancer Research (758 citations) and Biotechnology (259 citations). Colin D. Weekes has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Wells A. Messersmith, Sabine Eckhardt, Stephen Leong, John J. Arcaroli, Todd M. Pitts, Antonio Jimeno, Aik Choon Tan, John J. Tentler, Anirban Maitra and William L. Hwang. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, Cancer Research and Investigational New Drugs.
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.