Maximo C. Gacula
Impact in
- Food Science top 5%
- Sensory Analysis and Statistical Methods
- Small Animals top 5%
- Animal testing and alternatives
Papers in
- Food Science 16
- Sensory Analysis and Statistical Methods 13
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- Meat and Animal Product Quality 3
- Co-authors
- John E. Heinze (2 shared papers)Howard Moskowitz (4 shared papers)Alejandra M. Muñoz (2 shared papers)Anna V. A. Resurreccion (1 shared paper)R. A. Damon (2 shared papers)C. J. Brown (2 shared papers)Lawrence A. Rheins (1 shared paper)Jagbir Singh (1 shared paper)
- Journals
- Journal of Sensory Studies (8 papers)Journal of Food Science (8 papers)Journal of Animal Science (2 papers)Journal of Dairy Science (2 papers)Chemical Senses (1 paper)
- Partner nations
- United StatesItalyCzechia
In The Last Decade
Maximo C. Gacula
27 papers receiving 579 citations
Peers
Comparison fields: 5 of 101
- Food Science 322
- Small Animals 104
- Animal Science and Zoology 131
- Nutrition and Dietetics 145
- Sensory Systems 41
Countries citing papers authored by Maximo C. Gacula
This map shows the geographic impact of Maximo C. Gacula'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 Maximo C. Gacula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximo C. Gacula more than expected).
Fields of papers citing papers by Maximo C. Gacula
This network shows the impact of papers produced by Maximo C. Gacula. 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 Maximo C. Gacula. The network helps show where Maximo C. Gacula may publish in the future.
Co-authors
The 9 scholars most cited alongside Maximo C. Gacula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 106 | |
| 2 | 2006 | 85 | |
| 3 | 1975 | 82 | |
| 4 | 1975 | 58 | |
| 5 | 2007 | 52 | |
| 6 | 1985 | 41 | |
| 7 | 2004 | 37 | |
| 8 | 1985 | 31 | |
| 9 | 2004 | 29 | |
| 10 | 1968 | 20 | |
| 11 | 2008 | 15 | |
| 12 | 1974 | 14 | |
| 13 | 2008 | 11 | |
| 14 | 1986 | 10 | |
| 15 | 1968 | 8 | |
| 16 | 1978 | 8 | |
| 17 | 1987 | 6 | |
| 18 | 1978 | 4 | |
| 19 | 1962 | 4 | |
| 20 | 1972 | 4 |
About Maximo C. Gacula
Maximo C. Gacula is a scholar working on Food Science, Animal Science and Zoology, Plant Science, Genetics and Small Animals, having authored 28 papers that have together received 641 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (13 papers), Genetic and phenotypic traits in livestock (4 papers), Advanced Chemical Sensor Technologies (3 papers), Animal testing and alternatives (3 papers), Organic Food and Agriculture (3 papers), Meat and Animal Product Quality (3 papers), Ruminant Nutrition and Digestive Physiology (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Food Science (322 citations), Small Animals (104 citations), Animal Science and Zoology (131 citations), Nutrition and Dietetics (145 citations) and Sensory Systems (41 citations). Maximo C. Gacula has collaborated with scholars based in United States, Italy and Czechia. Frequent co-authors include John E. Heinze, Howard Moskowitz, Alejandra M. Muñoz, Anna V. A. Resurreccion, R. A. Damon, C. J. Brown, Lawrence A. Rheins, Jagbir Singh and J.K. Miller. Their work appears in journals such as Journal of Sensory Studies, Journal of Food Science, Journal of Animal Science, Journal of Dairy Science and Chemical Senses.
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.