C. C. Daly

550 citations
9 papers · 411 indexed · h-index 5

C. C. Daly

8 papers receiving 376 citations

Peers

C. C. Daly
Comparison fields: 5 of 49
  • Animal Science and Zoology 384
  • Small Animals 36
  • Insect Science 50
  • Agronomy and Crop Science 33
  • Food Science 53
Replace G. Wu with:
G. Wu New Zealand
L. Frylinck South Africa
L.A.M. Gomide Brazil
Alessandra Fernandes Rosa Brazil
A. H. MARTIN Canada
Tracey L. Cummings New Zealand
Eduardo Francisquine Delgado Brazil
B S Bidner United States
Verónica Alonso Spain
Ana Isabel Mayoral Calzada Spain
C. C. Daly relative to G. Wu New Zealand G. Wu's profile →
Citations per field
00.5×1.5×2.4×
G. Wu · 1×
Citations per year

Countries citing papers authored by C. C. Daly

Since Specialization
Citations

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

Fields of papers citing papers by C. C. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside C. C. Daly, 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 C. C. Daly Line = papers co-authored together C. C. Daly links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200918
2 200873
3 200622
4 20030
5
Sensitivity of ultimate meat pH to initial metabolite concentration when glycogen is not limiting.
20003
6
Manipulating processing to generate meat quality attributes appropriate for diverse markets
20001
7 199952
8
The relationships between beef ultimate pH, breed of cattle, muscle glycogen and enzyme levels and animal behaviour.
19992
9 1996240

About C. C. Daly

C. C. Daly is a scholar working on Animal Science and Zoology, Complementary and alternative medicine, Cell Biology, Orthopedics and Sports Medicine and Biotechnology, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (7 papers), Animal Nutrition and Physiology (4 papers), Muscle metabolism and nutrition (2 papers), Cardiovascular and exercise physiology (2 papers), Sports Performance and Training (1 paper), Microbial Inactivation Methods (1 paper), Physiological and biochemical adaptations (1 paper) and Calpain Protease Function and Regulation (1 paper). The work is most often cited by research in Animal Science and Zoology (384 citations), Small Animals (36 citations), Insect Science (50 citations), Agronomy and Crop Science (33 citations) and Food Science (53 citations). C. C. Daly has collaborated with scholars based in New Zealand, Australia and Japan. Frequent co-authors include C.E. Devine, Akira Watanabe, Nicola Simmons, Tracey L. Cummings, A.E. Graafhuis, H. S. Easton, O.A. Young, S.M. Moorhead, I. Vetharaniam and G.A. Jarvis. Their work appears in journals such as Meat Science, New Zealand Journal of Agricultural Research, The ANZIAM Journal and Proceedings of the New Zealand Society of Animal Production.

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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2026