Jack C. Dacre

1.6k citations
67 papers · 1.3k · h-index 19

Impact in

Papers in

Jack C. Dacre

61 papers receiving 1.1k citations

Peers

Jack C. Dacre
Comparison fields: 5 of 128
  • Chemical Health and Safety 18
  • Health, Toxicology and Mutagenesis 317
  • Cancer Research 196
  • Plant Science 525
  • Insect Science 143
Replace Jean‐Claude Lhuguenot with:
Jean‐Claude Lhuguenot France
Ulrich Gräf Switzerland
Wayland J. Hayes United States
O.Garth Fitzhugh United States
M. F. Rahman India
William F. Durham United States
Thomas B. Gaines United States
D. H. Hutson United Kingdom
Sebastian Kevekordes Germany
George Cruzan United States
Jack C. Dacre relative to Jean‐Claude Lhuguenot France Jean‐Claude Lhuguenot's profile →
Citations per field
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Jean‐Claude Lhuguenot · 1×
Citations per year

Countries citing papers authored by Jack C. Dacre

Since Specialization
Citations

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

Fields of papers citing papers by Jack C. Dacre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack C. Dacre. 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 Jack C. Dacre. The network helps show where Jack C. Dacre may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996327
2 1989106
3 198264
4 196153
5 195545
6 195635
7 197434
8 195330
9 195629
10 195826
11 198526
12 195825
13 199625
14 198424
15 197122
16 196822
17 199122
18 198221
19 198821
20 196819

About Jack C. Dacre

Jack C. Dacre is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Plant Science, Food Science and Environmental Chemistry, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (21 papers), Pesticide Exposure and Toxicity (16 papers), Toxic Organic Pollutants Impact (9 papers), Environmental Toxicology and Ecotoxicology (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Probiotics and Fermented Foods (5 papers), Insect and Pesticide Research (4 papers) and Pesticide and Herbicide Environmental Studies (4 papers). The work is most often cited by research in Chemical Health and Safety (18 citations), Health, Toxicology and Mutagenesis (317 citations), Cancer Research (196 citations), Plant Science (525 citations) and Insect Science (143 citations). Jack C. Dacre has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Max Goldman, Richard Tecwyn Williams, Gordon W. Newell, Charles A. Tyson, M. Elisabeth Sharpe, Ronald J. Spanggord, T. H. KENNEDY, F. A. Denz, David H. Rosenblatt and George Smith. Their work appears in journals such as Journal of Toxicology and Environmental Health, Journal of Dairy Research, Science, Cellular and Molecular Life Sciences 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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