David J. Sutherland

1.3k citations
29 papers · 1.2k · h-index 18

Impact in

Papers in

David J. Sutherland

28 papers receiving 1.1k citations

Peers

David J. Sutherland
Comparison fields: 5 of 128
  • Health, Toxicology and Mutagenesis 164
  • Aging 15
  • Molecular Biology 540
  • Paleontology 52
  • Pollution 78
Replace Cornelia Schmutzler with:
Cornelia Schmutzler Germany
Roberta Russo Italy
Kayo Okazaki Japan
Takashi Yagi Japan
Yukio Ohtsuka Japan
Patrizia Pagliara Italy
Matthew J. Jenny United States
Shoko Fujiwara Japan
Beilei Wang China
Derek Litthauer South Africa
David J. Sutherland relative to Cornelia Schmutzler Germany Cornelia Schmutzler's profile →
Citations per field
00.5×1.7×
Cornelia Schmutzler · 1×
Citations per year

Countries citing papers authored by David J. Sutherland

Since Specialization
Citations

This map shows the geographic impact of David J. Sutherland'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. Sutherland 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. Sutherland more than expected).

Fields of papers citing papers by David J. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999283
2 1998141
3 199282
4 201070
5 200367
6 196558
7 198547
8 200347
9 198339
10 199738
11 199738
12 198536
13 200226
14 198125
15 197924
16 199623
17 200521
18 197420
19 198116
20 197916

About David J. Sutherland

David J. Sutherland is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Pharmacology, Cardiology and Cardiovascular Medicine and Ecology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (4 papers), TGF-β signaling in diseases (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Computational Drug Discovery Methods (3 papers), Developmental Biology and Gene Regulation (3 papers), Environmental Toxicology and Ecotoxicology (3 papers), Toxic Organic Pollutants Impact (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (164 citations), Aging (15 citations), Molecular Biology (540 citations), Paleontology (52 citations) and Pollution (78 citations). David J. Sutherland has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Laurel A. Raftery, James W. Moore, Cord Dohrmann, Xiaoqing Liu, Leonard L. Dobens, Cynthia Spencer, Liliana Attisano, Robert G. Wisotzkey, Arun Mehra and David D. McPherson. Their work appears in journals such as Development, Water Research, Developmental Biology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and Trends in Genetics.

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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