David J. Sutherland

1.3k citations
27 papers · 1.1k · h-index 18

Impact in

Papers in

David J. Sutherland

26 papers receiving 1.0k citations

Peers

David J. Sutherland
Comparison fields: 5 of 130
  • Health, Toxicology and Mutagenesis 150
  • Aging 13
  • Molecular Biology 510
  • Paleontology 49
  • Pollution 68
Replace Cornelia Schmutzler with:
Cornelia Schmutzler Germany
Takashi Yagi Japan
Yukio Ohtsuka Japan
Patrizia Pagliara Italy
Kayo Okazaki Brazil
Derek Litthauer South Africa
Pascal Sourdaine France
Matthew J. Jenny United States
Surendra Ghaskadbi India
Shan Qin China
David J. Sutherland relative to Cornelia Schmutzler Germany Cornelia Schmutzler's profile →
Citations per field
00.5×1.5×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999269
2 1998137
3 199273
4 200365
5 201063
6 196547
7 200345
8 198541
9 198338
10 199738
11 199736
12 198533
13 198125
14 200224
15 200521
16 199621
17 197919
18 197418
19 198115
20 198515

About David J. Sutherland

David J. Sutherland is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine and Ecology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Mercury impact and mitigation studies (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Toxic Organic Pollutants Impact (3 papers), Developmental Biology and Gene Regulation (3 papers), Computational Drug Discovery Methods (2 papers), Water Quality and Pollution Assessment (2 papers) and Marine Invertebrate Physiology and Ecology (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (150 citations), Aging (13 citations), Molecular Biology (510 citations), Paleontology (49 citations) and Pollution (68 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, Xiaoqing Liu, Liliana Attisano, Cynthia Spencer, Arun Mehra, Cord Dohrmann, Robert G. Wisotzkey, David D. McPherson and Leonard L. Dobens. Their work appears in journals such as Development, Water Research, Journal of Veterinary Diagnostic Investigation, The Science of The Total Environment and Archives of Environmental Contamination and Toxicology.

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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