Daniel B. Weekes

1.4k citations
16 papers · 1.1k · h-index 11

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation

Papers in

    • Cancer-related Molecular Pathways 5
    • PARP inhibition in cancer therapy 3
    • DNA Repair Mechanisms 7
    • Ubiquitin and proteasome pathways 3
    • Fibroblast Growth Factor Research 2

Daniel B. Weekes

14 papers receiving 1.1k citations

Peers

Daniel B. Weekes
Comparison fields: 5 of 77
  • Oncology 392
  • Molecular Biology 909
  • Cancer Research 144
  • Cell Biology 109
  • Genetics 134
Replace Ruth M. Densham with:
Ruth M. Densham United Kingdom
Louise Howell United Kingdom
Kristen L. Meerbrey United States
Susan M. Mendrysa United States
Yuka Machida United States
Emily M. Huntsman United States
Jherek Swanger United States
Valérie Choesmel France
Michal Šimíček Czechia
Julien D. F. Licchesi United States
Daniel B. Weekes relative to Ruth M. Densham United Kingdom Ruth M. Densham's profile →
Citations per field
00.5×1.6×
Ruth M. Densham · 1×
Citations per year

Countries citing papers authored by Daniel B. Weekes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Weekes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. 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 Daniel B. Weekes. The network helps show where Daniel B. Weekes may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009355
2 2012136
3 2022114
4 201596
5 201388
6 201286
7 201562
8 201851
9 200542
10 200639
11 201017
12 202210
13 20219
14 20102
15 20110
16 20260

About Daniel B. Weekes

Daniel B. Weekes is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Aging, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (5 papers), PARP inhibition in cancer therapy (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Genomics and Diagnostics (2 papers), Fibroblast Growth Factor Research (2 papers), Microtubule and mitosis dynamics (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Oncology (392 citations), Molecular Biology (909 citations), Cancer Research (144 citations), Cell Biology (109 citations) and Genetics (134 citations). Daniel B. Weekes has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Joanna R. Morris, Ruth M. Densham, Laura R. Butler, Yaron Galanty, Ellen Solomon, Laurent Pangon, Matthias Epple, Tai Kiuchi, Chris Boutell and Tony Ng. Their work appears in journals such as Oncogene, Nature Communications, Nature, EMBO Reports and Cancer Discovery.

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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