David J. Etherington

2.8k citations
59 papers · 2.3k indexed · h-index 26

Impact in

Papers in

David J. Etherington

59 papers receiving 2.1k citations

Peers

David J. Etherington
Comparison fields: 5 of 109
  • Animal Science and Zoology 668
  • Cancer Research 604
  • Cell Biology 485
  • Immunology and Allergy 169
  • Rheumatology 286
Replace Edwin T. Mertz with:
Edwin T. Mertz United States
Yasushi Sato Japan
Jacek Kijowski Poland
Javier Turnay Spain
Shinkichi Irie Japan
Anneliese D. Recklies Canada
Kimie Fukuyama United States
Ana Bravo Spain
Tove Christensen Denmark
Burton Goldberg United States
David J. Etherington relative to Edwin T. Mertz United States Edwin T. Mertz's profile →
Citations per field
00.5×3.5×
Edwin T. Mertz · 1×
Citations per year

Countries citing papers authored by David J. Etherington

Since Specialization
Citations

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

Fields of papers citing papers by David J. Etherington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Uterine collagen during pregnancy in cattle.
199514
2 199291
3 199121
4 199129
5 199122
6 1990127
7 199049
8 198982
9 1988123
10 198730
11 198758
12 198758
13 198464
14 19804
15 197911
16 197862
17 19746
18 197316
19 197211
20 197028

About David J. Etherington

David J. Etherington is a scholar working on Biotechnology, Animal Science and Zoology, Cell Biology, Cancer Research and Immunology and Allergy, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (13 papers), Calpain Protease Function and Regulation (12 papers), Enzyme Production and Characterization (11 papers), Meat and Animal Product Quality (10 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Collagen: Extraction and Characterization (7 papers), Bone and Dental Protein Studies (7 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Animal Science and Zoology (668 citations), Cancer Research (604 citations), Cell Biology (485 citations), Immunology and Allergy (169 citations) and Rheumatology (286 citations). David J. Etherington has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Rose A. Maciewicz, Mark Taylor, W. H. Taylor, Eric Dransfield, Fidel Toldrá, Trevor J. Sims, R. John Wardale, Robert W. Mason, Patricia Evans and Mark A. Taylor. Their work appears in journals such as Meat Science, Biochemical Society Transactions, Biochemical Journal, FEBS Letters and Bioscience Reports.

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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