C.M. Pixley

590 citations
13 papers · 453 · h-index 10

Impact in

    • Animal Nutrition and Physiology
    • Livestock and Poultry Management
    • Probiotics and Fermented Foods
    • Salmonella and Campylobacter epidemiology

Papers in

    • Animal Nutrition and Physiology 12
    • Livestock and Poultry Management 3
    • Meat and Animal Product Quality 3
    • Salmonella and Campylobacter epidemiology 5
    • Probiotics and Fermented Foods 4

C.M. Pixley

13 papers receiving 405 citations

Peers

C.M. Pixley
Comparison fields: 5 of 39
  • Animal Science and Zoology 357
  • Food Science 260
  • Microbiology 33
  • Biotechnology 31
  • Aquatic Science 23
Replace A. Torres-Rodríguez with:
A. Torres-Rodríguez United States
Alex Yeow-Lim Teo United States
Yicen Lin China
Chasity Pender United States
Andor Molnár Hungary
I. Knap Denmark
Stephanie M. Roto United States
Nuria Vieco-Saiz France
M.D. Sims United States
Dae Kyung Kang South Korea
C.M. Pixley relative to A. Torres-Rodríguez United States A. Torres-Rodríguez's profile →
Citations per field
00.5×1.5×
A. Torres-Rodríguez · 1×
Citations per year

Countries citing papers authored by C.M. Pixley

Since Specialization
Citations

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

Fields of papers citing papers by C.M. Pixley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside C.M. Pixley, 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.M. Pixley Line = papers co-authored together C.M. Pixley links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011127
2 200863
3 200848
4 200545
5 201142
6 201340
7 200537
8 200718
9 200810
10 20059
11 20078
12 20103
13 20073

About C.M. Pixley

C.M. Pixley is a scholar working on Animal Science and Zoology, Food Science, Infectious Diseases, Insect Science and Small Animals, having authored 13 papers that have together received 453 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (12 papers), Salmonella and Campylobacter epidemiology (5 papers), Probiotics and Fermented Foods (4 papers), Livestock and Poultry Management (3 papers), Meat and Animal Product Quality (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Microbial Metabolites in Food Biotechnology (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Animal Science and Zoology (357 citations), Food Science (260 citations), Microbiology (33 citations), Biotechnology (31 citations) and Aquatic Science (23 citations). C.M. Pixley has collaborated with scholars based in United States, Mexico and Argentina. Frequent co-authors include B.M. Hargis, Ross Wolfenden, S.L. Layton, J.L. Vicente, Stacy Higgins, A. Torres-Rodríguez, A.D. Wolfenden, Billy M. Hargis, Guillermo Téllez‐Isaías and Billy M. Hargis. Their work appears in journals such as The Journal of Applied Poultry Research, Poultry Science, Food Research International, Avian Diseases and International Journal of Poultry Science.

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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