A. Mutto
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
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- Reproductive Biology and Fertility
Papers in
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- Reproductive Biology and Fertility 16
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- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 5
- Renal and related cancers 3
- Co-authors
- Daniela Rodler (1 shared paper)G.A. Palma (1 shared paper)Fred Sinowatz (1 shared paper)Daniel Barrera (1 shared paper)G.G. Kaiser (3 shared papers)N. Mucci (6 shared papers)Pablo J. Ross (5 shared papers)Andreína Cesari (2 shared papers)
- Journals
- Reproduction Fertility and Development (5 papers)Theriogenology (5 papers)Journal of Equine Veterinary Science (3 papers)Animals (2 papers)Cell stem cell (1 paper)
- Partner nations
- ArgentinaUnited StatesBrazil
In The Last Decade
A. Mutto
24 papers receiving 481 citations
Peers
Comparison fields: 5 of 59
- Reproductive Medicine 151
- Public Health, Environmental and Occupational Health 213
- Equine 11
- Agronomy and Crop Science 61
- Genetics 107
Countries citing papers authored by A. Mutto
This map shows the geographic impact of A. Mutto'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 A. Mutto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Mutto more than expected).
Fields of papers citing papers by A. Mutto
This network shows the impact of papers produced by A. Mutto. 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 A. Mutto. The network helps show where A. Mutto may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Mutto, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2012 | 89 | |
| 3 | 2006 | 52 | |
| 4 | 2016 | 48 | |
| 5 | 2017 | 39 | |
| 6 | 2014 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2014 | 18 | |
| 9 | 2005 | 17 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2014 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2011 | 1 |
About A. Mutto
A. Mutto is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Genetics and Agronomy and Crop Science, having authored 25 papers that have together received 496 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Animal Genetics and Reproduction (7 papers), Sperm and Testicular Function (7 papers), CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers), Ovarian function and disorders (4 papers), Renal and related cancers (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Reproductive Medicine (151 citations), Public Health, Environmental and Occupational Health (213 citations), Equine (11 citations), Agronomy and Crop Science (61 citations) and Genetics (107 citations). A. Mutto has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Daniela Rodler, G.A. Palma, Fred Sinowatz, Daniel Barrera, G.G. Kaiser, N. Mucci, Pablo J. Ross, Andreína Cesari, Daiji Okamura and Noriko Tanaka. Their work appears in journals such as Reproduction Fertility and Development, Theriogenology, Journal of Equine Veterinary Science, Animals and Cell stem cell.
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.