Derek Barratt

1.5k citations
20 papers · 1.0k · h-index 10

Impact in

Papers in

    • DNA Repair Mechanisms 3
    • Cancer therapeutics and mechanisms 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Degradation and Inhibitors 2
    • Receptor Mechanisms and Signaling 2
    • DNA and Nucleic Acid Chemistry 2
    • PARP inhibition in cancer therapy 2

Derek Barratt

18 papers receiving 1.0k citations

Peers

Derek Barratt
Comparison fields: 5 of 99
  • Cancer Research 188
  • Oncology 235
  • Molecular Biology 587
  • Organic Chemistry 201
  • Physical and Theoretical Chemistry 56
Replace G. Pochetti with:
G. Pochetti Italy
Toshiro Nishida United States
John Eksterowicz United States
N. Hirayama Japan
Steven L. Bender United States
Fernando Mazza Italy
Bernard Pirard Switzerland
Julie A. Krueger United States
Shunqi Yan United States
Glen E. Mieling United States
Derek Barratt relative to G. Pochetti Italy G. Pochetti's profile →
Citations per field
00.5×1.5×2.3×
G. Pochetti · 1×
Citations per year

Countries citing papers authored by Derek Barratt

Since Specialization
Citations

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

Fields of papers citing papers by Derek Barratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek Barratt. 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 Derek Barratt. The network helps show where Derek Barratt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016352
2 2002215
3 1989186
4 201968
5 202060
6 199648
7 200535
8 198622
9 197712
10 199610
11 20228
12 20226
13 20215
14 19965
15 20244
16 20253
17 20191
18 20191
19 20160
20 20140

About Derek Barratt

Derek Barratt is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Cancer therapeutics and mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Receptor Mechanisms and Signaling (2 papers), PARP inhibition in cancer therapy (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Cancer Research (188 citations), Oncology (235 citations), Molecular Biology (587 citations), Organic Chemistry (201 citations) and Physical and Theoretical Chemistry (56 citations). Derek Barratt has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Philip P. Duce, Peter J. Taylor, Michael H. Abraham, Jeffrey J. Morris, David V. Prior, Wai Wong, Helen Won, Teresa Klinowska, Elisa de Stanchina and Zhan Yao. Their work appears in journals such as Cancer Research, Journal of Medicinal Chemistry, SLAS DISCOVERY, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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