M. Gispert
- Animal Science and Zoology top 0.05%
- Meat and Animal Product Quality 89
- Animal Nutrition and Physiology 55
- Pharmacological Effects and Assays 9
- Small Animals top 0.1%
- Animal Behavior and Welfare Studies 39
- Food Science top 2%
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 7
- Genetics top 5%
- Genetic and phenotypic traits in livestock 16
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- Advanced Chemical Sensor Technologies 7
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- Identification and Quantification in Food 7
- Co-authors
- A. DiestreMaria Font‐i‐FurnolsM.A. OliverAntonio VelardeXavier MantecaMaría Dolors GuárdiaNúria TousE. Esteve‐García
- Partner nations
- SpainFranceNetherlands
In The Last Decade
M. Gispert
98 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 125
- Animal Science and Zoology 3.1k
- Small Animals 1.2k
- Food Science 430
- Analytical Chemistry 187
- Genetics 508
Countries citing papers authored by M. Gispert
This map shows the geographic impact of M. Gispert'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 M. Gispert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gispert more than expected).
Fields of papers citing papers by M. Gispert
This network shows the impact of papers produced by M. Gispert. 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 M. Gispert. The network helps show where M. Gispert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Gispert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 10 | |
| 2 | 2022 | 15 | |
| 3 | 2019 | 7 | |
| 4 | 2015 | 36 | |
| 5 | 2015 | 13 | |
| 6 | Implementing a traceability system for the pig chain based on electronic ear tags and molecular markers. | 2013 | 1 |
| 7 | 2013 | 6 | |
| 8 | 2012 | 7 | |
| 9 | 2012 | 43 | |
| 10 | 2011 | 16 | |
| 11 | 2010 | 36 | |
| 12 | 2008 | 97 | |
| 13 | 2008 | 68 | |
| 14 | 2007 | 55 | |
| 15 | 2005 | 84 | |
| 16 | 2005 | 47 | |
| 17 | 2002 | 69 | |
| 18 | 2001 | 43 | |
| 19 | 2000 | 128 | |
| 20 | 1997 | 35 |
About M. Gispert
M. Gispert is a scholar working on Animal Science and Zoology, Small Animals, Analytical Chemistry, Tourism, Leisure and Hospitality Management and Food Science, having authored 98 papers that have together received 3.6k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (89 papers), Animal Nutrition and Physiology (55 papers), Animal Behavior and Welfare Studies (39 papers), Genetic and phenotypic traits in livestock (16 papers), Pharmacological Effects and Assays (9 papers), Advanced Chemical Sensor Technologies (7 papers), Identification and Quantification in Food (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). The work is most often cited by research in Animal Science and Zoology (3.1k citations), Small Animals (1.2k citations), Food Science (430 citations), Analytical Chemistry (187 citations) and Genetics (508 citations). M. Gispert has collaborated with scholars based in Spain, France and Netherlands. Frequent co-authors include A. Diestre, Maria Font‐i‐Furnols, M.A. Oliver, Antonio Velarde, Xavier Manteca, María Dolors Guárdia, Núria Tous, E. Esteve‐García, J. Tibau and J. Estany. Their work appears in journals such as Meat Science, Livestock Science, animal, Animal Science and Journal of Animal 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.