David J. Chaplin

9.8k citations
157 papers · 8.3k indexed · h-index 51

David J. Chaplin

155 papers receiving 8.0k citations

Peers

David J. Chaplin
Comparison fields: 5 of 128
  • Cancer Research 3.0k
  • Oncology 1.9k
  • Biotechnology 556
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Molecular Biology 3.8k
Replace Dietmar W. Siemann with:
Dietmar W. Siemann United States
Gillian M. Tozer United Kingdom
Michael R. Horsman Denmark
Suzanne A. Eccles United Kingdom
Michael P. Hay New Zealand
Hans M. Rodermond Netherlands
Paraskevi Giannakakou United States
Stephen R. Wedge United Kingdom
Chang W. Song United States
Samuel R. Denmeade United States
David J. Chaplin relative to Dietmar W. Siemann United States Dietmar W. Siemann's profile →
Citations per field
00.5×1.5×
Dietmar W. Siemann · 1×
Citations per year

Countries citing papers authored by David J. Chaplin

Since Specialization
Citations

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

Fields of papers citing papers by David J. Chaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Chaplin. 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 David J. Chaplin. The network helps show where David J. Chaplin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201616
2 201220
3 2010116
4 201037
5 200964
6 200819
7 200711
8 2004163
9
ZD6126: a novel vascular-targeting agent that causes selective destruction of tumor vasculature.
2002200
10 199849
11 199821
12 19978
13 199710
14 199671
15 19958
16 19951
17 199414
18 199213
19 1989147
20 198937

About David J. Chaplin

David J. Chaplin is a scholar working on Cancer Research, Toxicology, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 157 papers that have together received 8.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (55 papers), Angiogenesis and VEGF in Cancer (38 papers), Synthesis and biological activity (17 papers), Cancer Treatment and Pharmacology (11 papers), Protease and Inhibitor Mechanisms (10 papers), Nanoplatforms for cancer theranostics (10 papers), Radiation Therapy and Dosimetry (10 papers) and Nitric Oxide and Endothelin Effects (9 papers). The work is most often cited by research in Cancer Research (3.0k citations), Oncology (1.9k citations), Biotechnology (556 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Molecular Biology (3.8k citations). David J. Chaplin has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael R. Horsman, Peggy L. Olive, Dietmar W. Siemann, Sally A. Hill, Ralph E. Durand, Gillian M. Tozer, George R. Pettit, Scott L. Young, Borivoj Vojnovic and M.R.L. Stratford. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, British Journal of Cancer, Bioorganic & Medicinal Chemistry Letters and International Journal of Cancer.

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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