Colm Everard

1.8k citations
52 papers · 1.3k · h-index 20

Impact in

Papers in

Colm Everard

51 papers receiving 1.3k citations

Peers

Colm Everard
Comparison fields: 5 of 115
  • Analytical Chemistry 378
  • Animal Science and Zoology 243
  • Food Science 336
  • Agronomy and Crop Science 101
  • Biophysics 55
Replace Colette C. Fagan with:
Colette C. Fagan Ireland
Oladiran Fasina United States
Zengling Yang China
Juan García‐Olmo Spain
Barbara Giussani Italy
Daniele Duca Italy
Richard Agneessens Belgium
Mariusz Szymanek Poland
Grzegorz Zaguła Poland
James F. Thompson United States
Colm Everard relative to Colette C. Fagan Ireland Colette C. Fagan's profile →
Citations per field
00.5×1.5×
Colette C. Fagan · 1×
Citations per year

Countries citing papers authored by Colm Everard

Since Specialization
Citations

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

Fields of papers citing papers by Colm Everard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colm Everard. 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 Colm Everard. The network helps show where Colm Everard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013201
2 201197
3 201378
4 201267
5 200657
6 201354
7 201452
8 201441
9 200541
10 200840
11 200738
12 200637
13 202032
14 200730
15 200830
16 201424
17 201323
18 200722
19 201620
20 202119

About Colm Everard

Colm Everard is a scholar working on Animal Science and Zoology, Food Science, Analytical Chemistry, Biomedical Engineering and Physiology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (19 papers), Meat and Animal Product Quality (19 papers), Smoking Behavior and Cessation (10 papers), Probiotics and Fermented Foods (9 papers), Bioenergy crop production and management (6 papers), Proteins in Food Systems (6 papers), Sensory Analysis and Statistical Methods (6 papers) and Listeria monocytogenes in Food Safety (6 papers). The work is most often cited by research in Analytical Chemistry (378 citations), Animal Science and Zoology (243 citations), Food Science (336 citations), Agronomy and Crop Science (101 citations) and Biophysics (55 citations). Colm Everard has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Colette C. Fagan, Kevin McDonnell, D.J. O’Callaghan, Colm P. O’Donnell, Elizabeth M. Sheehan, M. Castillo, F. A. Payne, Moon S. Kim, C.M. Delahunty and Hoyoung Lee. Their work appears in journals such as Journal of Dairy Science, Journal of Food Engineering, JAMA Network Open, Journal of Food Science and Nicotine & Tobacco Research.

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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