David W. Cook

2.4k citations
34 papers · 1.7k indexed · h-index 19

Impact in

  • Endocrinology top 0.2%
    • Vibrio bacteria research studies
  • Immunology top 2%
    • Aquaculture disease management and microbiota

Papers in

David W. Cook

33 papers receiving 1.6k citations

Peers

David W. Cook
Comparison fields: 5 of 83
  • Endocrinology 1.3k
  • Immunology 1.0k
  • Food Science 618
  • Biotechnology 126
  • Nutrition and Dietetics 142
Replace Anita C. Wright with:
Anita C. Wright United States
John C. Bowers United States
Michael C.L. Vickery United States
Jessica L. Nordstrom United States
E. Garay Spain
Irma Nelly Gutierrez Rivera Brazil
Dominique Hervio‐Heath France
Richard W. Attwell United Kingdom
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David W. Cook relative to Anita C. Wright United States Anita C. Wright's profile →
Citations per field
00.5×1.5×
Anita C. Wright · 1×
Citations per year

Countries citing papers authored by David W. Cook

Since Specialization
Citations

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

Fields of papers citing papers by David W. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201417
2 200622
3 200361
4 2002113
5 200290
6 200038
7 2000227
8 1998240
9 199727
10 199449
11 199252
12 199222
13 199170
14 198939
15 19885
16 198616
17
Char consumption in the underground gasification of Eastern bituminous coal
19865
18 19804
19 198033
20 197353

About David W. Cook

David W. Cook is a scholar working on Endocrinology, Immunology, Food Science, Aquatic Science and Global and Planetary Change, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (14 papers), Vibrio bacteria research studies (14 papers), Salmonella and Campylobacter epidemiology (7 papers), Identification and Quantification in Food (6 papers), Marine Bivalve and Aquaculture Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Endocrinology (1.3k citations), Immunology (1.0k citations), Food Science (618 citations), Biotechnology (126 citations) and Nutrition and Dietetics (142 citations). David W. Cook has collaborated with scholars based in United States, Thailand and Australia. Frequent co-authors include Angelo DePaola, John C. Bowers, Charles A. Kaysner, Joy G. Wells, Jessica L. Nordstrom, Robert J. Blodgett, Miles L. Motes, Wallace E. Garthright, Stuart J. Chirtel and Susan A. McCarthy. Their work appears in journals such as Journal of Food Protection, Applied and Environmental Microbiology, Canadian Journal of Microbiology, Transfusion and Journal of Wildlife Diseases.

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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