Marcel Amills
- Genetics top 0.5%
- Genetic and phenotypic traits in livestock 87
- Genetic Mapping and Diversity in Plants and Animals 57
- Genetic diversity and population structure 28
- Animal Genetics and Reproduction 11
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality 22
- Animal Nutrition and Physiology 12
- Agronomy and Crop Science top 1%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 25
- Small Animals top 5%
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- Adipose Tissue and Metabolism 10
Marcel Amills
162 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 101
- Genetics 2.0k
- Animal Science and Zoology 626
- Agronomy and Crop Science 496
- Cancer Research 486
- Small Animals 99
Countries citing papers authored by Marcel Amills
This map shows the geographic impact of Marcel Amills'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 Marcel Amills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Amills more than expected).
Fields of papers citing papers by Marcel Amills
This network shows the impact of papers produced by Marcel Amills. 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 Marcel Amills. The network helps show where Marcel Amills may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcel Amills, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 33 | |
| 8 | 2018 | 48 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 14 | |
| 12 | Documenting Population Structure and Gene Flow Between Goats From Spain and Africa | 2013 | 1 |
| 13 | 2010 | 24 | |
| 14 | 2010 | 7 | |
| 15 | 2007 | 21 | |
| 16 | 2007 | 41 | |
| 17 | 2005 | 37 | |
| 18 | 2004 | 15 | |
| 19 | 1997 | 45 | |
| 20 | 1996 | 1 |
About Marcel Amills
Marcel Amills is a scholar working on Genetics, Animal Science and Zoology, Agronomy and Crop Science, Cancer Research and Cell Biology, having authored 164 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (87 papers), Genetic Mapping and Diversity in Plants and Animals (57 papers), Genetic diversity and population structure (28 papers), Cancer-related molecular mechanisms research (25 papers), Meat and Animal Product Quality (22 papers), Animal Nutrition and Physiology (12 papers), Animal Genetics and Reproduction (11 papers) and Adipose Tissue and Metabolism (10 papers). The work is most often cited by research in Genetics (2.0k citations), Animal Science and Zoology (626 citations), Agronomy and Crop Science (496 citations), Cancer Research (486 citations) and Small Animals (99 citations). Marcel Amills has collaborated with scholars based in Spain, Italy and Brazil. Frequent co-authors include Armand Sánchez, Raquel Quintanilla, Oriol Vidal, Ramona N. Pena, J. Jordana, Óscar Ramírez, Alex Clop, J. Capote, David Gallardo and Tainã Figueiredo Cardoso. Their work appears in journals such as Animal Genetics, Journal of Dairy Science, Scientific Reports, Genetics Selection Evolution 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.