Ivàn A. Casas

21 papers receiving 1.4k citations

Peers

Ivàn A. Casas
Comparison fields: 5 of 103
  • Food Science 1.0k
  • Nutrition and Dietetics 532
  • Pharmacy 152
  • Animal Science and Zoology 200
  • Infectious Diseases 271
Replace Kay J. Rutherfurd with:
Kay J. Rutherfurd New Zealand
Jaya Prasad New Zealand
Miriam Bermúdez-Brito Spain
Tung‐Ching Chung Taiwan
G. Thornton Ireland
Terttu Vilpponen-Salmela Finland
H. S. Gill New Zealand
Kan Shida Japan
Andrea Monteagudo-Mera United Kingdom
Diane M. Loach New Zealand
Ivàn A. Casas relative to Kay J. Rutherfurd New Zealand Kay J. Rutherfurd's profile →
Citations per field
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Kay J. Rutherfurd · 1×
Citations per year

Countries citing papers authored by Ivàn A. Casas

Since Specialization
Citations

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

Fields of papers citing papers by Ivàn A. Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivàn A. Casas. 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 Ivàn A. Casas. The network helps show where Ivàn A. Casas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988333
2 1997292
3 1997239
4 2000190
5 2000124
6 1997111
7 199579
8 200054
9 200248
10 199617
11 198810
12 19698
13 20007
14 19987
15 19987
16 19775
17 20024
18 19984
19 19653
20 19712

About Ivàn A. Casas

Ivàn A. Casas is a scholar working on Food Science, Molecular Biology, Nutrition and Dietetics, Animal Science and Zoology and Infectious Diseases, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (14 papers), Infant Nutrition and Health (6 papers), Animal Nutrition and Physiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Gut microbiota and health (4 papers), Livestock and Poultry Management (2 papers), Bacteriophages and microbial interactions (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Food Science (1.0k citations), Nutrition and Dietetics (532 citations), Pharmacy (152 citations), Animal Science and Zoology (200 citations) and Infectious Diseases (271 citations). Ivàn A. Casas has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Walter J. Dobrogosz, Timo Vesikari, Hannu Mykkänen, Tung‐Ching Chung, Todd Talarico, Eeva Salo, F.W. Edens, C.R. Parkhurst, José Luı́s Abad and Günter Klein. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Poultry Science, Journal of Bacteriology, The Journal of Applied Poultry Research and Systematic and Applied Microbiology.

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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