Inmaculada Martín‐Burriel
- Genetics top 2%
- Genetic and phenotypic traits in livestock 20
- Mesenchymal stem cell research 12
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic diversity and population structure 10
- Neurology top 5%
- Neurological diseases and metabolism 17
- Urology top 5%
- Equine top 5%
- Nutrition and Dietetics top 5%
- Trace Elements in Health 21
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- Prion Diseases and Protein Misfolding 44
- RNA Research and Splicing 6
- Co-authors
- P. ZaragozaRosa BoleaC. RodellarJuan José BadiolaJaber LyahyaiB. RaneraAna Rosa RemachaFrancisco José Vázquez
- Partner nations
- SpainFranceNetherlands
In The Last Decade
Inmaculada Martín‐Burriel
106 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Genetics 487
- Neurology 200
- Urology 117
- Equine 26
- Nutrition and Dietetics 237
Countries citing papers authored by Inmaculada Martín‐Burriel
This map shows the geographic impact of Inmaculada Martín‐Burriel'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 Inmaculada Martín‐Burriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Martín‐Burriel more than expected).
Fields of papers citing papers by Inmaculada Martín‐Burriel
This network shows the impact of papers produced by Inmaculada Martín‐Burriel. 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 Inmaculada Martín‐Burriel. The network helps show where Inmaculada Martín‐Burriel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inmaculada Martín‐Burriel, 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 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 12 | |
| 10 | Efecto de polimorfismos genéticos en la producción de leche del ganado Siboney de Cuba | 2016 | 1 |
| 11 | 2016 | 79 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 19 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 16 | |
| 16 | Degeneration of postovulatory follicles of the Bay of Biscay anchovy ( Engraulis encrasicolus L.) | 2008 | 18 |
| 17 | Caracterización genética de una raza caprina enpeligro de extinción: mallorquina | 2007 | 1 |
| 18 | Caracterización genética de la población bovinaserrana negra de Teruel | 2007 | 1 |
| 19 | 2007 | 10 | |
| 20 | 1998 | 2 |
About Inmaculada Martín‐Burriel
Inmaculada Martín‐Burriel is a scholar working on Neurology, Nutrition and Dietetics and Genetics, having authored 110 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (44 papers), Trace Elements in Health (21 papers), Genetic and phenotypic traits in livestock (20 papers), Neurological diseases and metabolism (17 papers), Mesenchymal stem cell research (12 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic diversity and population structure (10 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Genetics (487 citations), Neurology (200 citations) and Urology (117 citations). Inmaculada Martín‐Burriel has collaborated with scholars based in Spain, France and Netherlands. Frequent co-authors include P. Zaragoza, Rosa Bolea, C. Rodellar, Juan José Badiola, Jaber Lyahyai, B. Ranera, Ana Rosa Remacha, Francisco José Vázquez, Antonio Romero and David Sánz-Rubio. Their work appears in journals such as PLoS ONE, Analytical Chemistry 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.