Colin D. Weekes

15.6k citations
144 papers · 3.5k indexed · 3 hit papers · h-index 28

Colin D. Weekes

137 papers receiving 3.4k citations

Hit Papers

Lymph-node...1242012202620162021250500750

Peers

Colin D. Weekes
Comparison fields: 5 of 117
  • Oncology 2.1k
  • Cancer Research 758
  • Biotechnology 259
  • Molecular Biology 1.4k
  • Pulmonary and Respiratory Medicine 634
Replace Giulio Francia with:
Giulio Francia United States
George N. Naumov United States
Paul Frankel United States
Ignacio Garrido‐Laguna United States
John M.L. Ebos United States
Andrew H. Ko United States
Adrian M. Jubb United Kingdom
Karin A. Oien United Kingdom
Alexandre Calon Spain
Colin D. Weekes relative to Giulio Francia United States Giulio Francia's profile →
Citations per field
00.5×11×
Giulio Francia · 1×
Citations per year

Countries citing papers authored by Colin D. Weekes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Colin D. Weekes Line = papers co-authored together Colin D. Weekes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20241
3
Lymph-node-targeted, mKRAS-specific amphiphile vaccine in pancreatic and colorectal cancer: the phase 1 AMPLIFY-201 trialbreakdown →
2024124
4 20244
5 20242
6 20240
7 20231
8 20230
9 20231
10 202015
11 2018104
12 201739
13 20160
14 201612
15 201610
16 201454
17 201346
18 201242
19 201233
20 199522

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.

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