Ivàn A. Casas

2.1k citations
21 papers · 1.5k · h-index 11

Impact in

Papers in

Ivàn A. Casas

21 papers receiving 1.4k citations

Peers

Ivàn A. Casas
Comparison fields: 5 of 102
  • Food Science 958
  • Nutrition and Dietetics 463
  • Pharmacy 96
  • Animal Science and Zoology 195
  • Infectious Diseases 222
Replace Kay J. Rutherfurd with:
Kay J. Rutherfurd New Zealand
Jaya Prasad New Zealand
Miriam Bermúdez-Brito Spain
H. S. Gill New Zealand
Tung‐Ching Chung Taiwan
Andrea Monteagudo-Mera United Kingdom
Diane M. Loach New Zealand
Petra Haberer Germany
Bojana Bogovič Matijašić Slovenia
Terttu Vilpponen-Salmela Finland
Ivàn A. Casas relative to Kay J. Rutherfurd New Zealand Kay J. Rutherfurd's profile →
Citations per field
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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 1997291
3 1997236
4 2000191
5 2000125
6 1997111
7 199578
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, Animal Science and Zoology, Nutrition and Dietetics and Biotechnology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (13 papers), Animal Nutrition and Physiology (5 papers), Gut microbiota and health (4 papers), Infant Nutrition and Health (3 papers), Meat and Animal Product Quality (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Livestock and Poultry Management (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Food Science (958 citations), Nutrition and Dietetics (463 citations), Pharmacy (96 citations), Animal Science and Zoology (195 citations) and Infectious Diseases (222 citations). Ivàn A. Casas has collaborated with scholars based in United States, Finland and Sri Lanka. Frequent co-authors include Walter J. Dobrogosz, Hannu Mykkänen, Timo Vesikari, Tung‐Ching Chung, Todd Talarico, Eeva Salo, C.R. Parkhurst, F.W. Edens, José Luı́s Abad and G. Reuter. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Systematic and Applied Microbiology, Poultry Science, Journal of Food Protection and Nature.

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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