Home › Researcher directory › Nicolás Goñi
Nicolás Goñi
Affiliation : AZTI · Tecnalia
- 2Publications (affiliation in Spain)
- 63Total publications
- 1460Citations
- 24h-index
Research profile
Nicolás Goñi has 2 indexed publications (2018–2019). Their work appears mainly in “Frontiers in Ecology and the Environment” and “Molecular Ecology Resources”. Their most cited article, “Determining natal origin for improved management of Atlantic bluefin tuna” (2019), has been cited 84 times. Their work is co-authored with at least 12 researchers, including institutions in Canada, Portugal.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- Marine and fisheries research
- Fish Ecology and Management Studies
- Ichthyology and Marine Biology
- Isotope Analysis in Ecology
- Fish Biology and Ecology Studies
Publications (2)
- Determining natal origin for improved management of Atlantic bluefin tuna
- Spatial dynamics and mixing of bluefin tuna in the Atlantic Ocean and Mediterranean Sea revealed using next‐generation sequencing
Publication venues
- Frontiers in Ecology and the Environment × 1
- Molecular Ecology Resources × 1
Publications per year
- 20191
- 20181
Collaborations
Partner institutions : Instituto Español de Oceanografía · University of the Basque Country · Centro Oceanográfico de Canarias · Universidad de Cádiz · Acadia University
Co-authors’ countries : Canada · Portugal
Co-authors
- Haritz Arrizabalaga
- Naiara Rodríguez‐Ezpeleta
- Igaratza Fraile
- Francisco Alemany
- Miguel Neves Santos
- José Luis Varela
- Urtzi Laconcha
- David Macías
- Aitor Albaina
- P.J. Pascual-Alayón
- Andone Estonba
- Natalia Díaz‐Arce
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.