J. J. Arranz
- Genetics top 2%
- Genetic and phenotypic traits in livestock 58
- Genetic Mapping and Diversity in Plants and Animals 34
- Genetic diversity and population structure 14
- Animal Genetics and Reproduction 6
- Agronomy and Crop Science top 2%
- Milk Quality and Mastitis in Dairy Cows 11
- Animal Science and Zoology top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 23
- Small Animals top 5%
- Helminth infection and control 7
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- Molecular Biology Techniques and Applications 5
- Co-authors
- Beatriz Gutiérrez‐GilF. San PrimitivoAroa Suárez‐VegaYolanda BayónE. García‐GámezPamela WienerF. GoyacheI. Fernández
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (4 papers)Scientific Reports (6 papers)
In The Last Decade
J. J. Arranz
90 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Genetics 1.1k
- Agronomy and Crop Science 282
- Animal Science and Zoology 197
- Cancer Research 286
- Small Animals 87
Countries citing papers authored by J. J. Arranz
This map shows the geographic impact of J. J. Arranz'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 J. J. Arranz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. J. Arranz more than expected).
Fields of papers citing papers by J. J. Arranz
This network shows the impact of papers produced by J. J. Arranz. 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 J. J. Arranz. The network helps show where J. J. Arranz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. J. Arranz, 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 | 2024 | 4 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 36 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 26 | |
| 17 | 2011 | 18 | |
| 18 | 2010 | 7 | |
| 19 | Variabilidad del DNA mitocondrial en razas ovinas ibéricas | 2007 | 2 |
| 20 | 1996 | 21 |
About J. J. Arranz
J. J. Arranz is a scholar working on Genetics, Cancer Research and Agronomy and Crop Science, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (58 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers), Cancer-related molecular mechanisms research (23 papers), Genetic diversity and population structure (14 papers), Milk Quality and Mastitis in Dairy Cows (11 papers), Helminth infection and control (7 papers), Animal Genetics and Reproduction (6 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Genetics (1.1k citations), Agronomy and Crop Science (282 citations) and Animal Science and Zoology (197 citations). J. J. Arranz has collaborated with scholars based in Spain, France and Australia. Frequent co-authors include Beatriz Gutiérrez‐Gil, F. San Primitivo, Aroa Suárez‐Vega, Yolanda Bayón, E. García‐Gámez, Pamela Wiener, F. Goyache, I. Fernández, I. Álvarez and L. J. Royo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.