Daniel González‐Silvera

736 citations
42 papers · 572 · h-index 15

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
    • Aquaculture disease management and microbiota

Papers in

Daniel González‐Silvera

41 papers receiving 564 citations

Peers

Daniel González‐Silvera
Comparison fields: 5 of 82
  • Aquatic Science 211
  • Immunology 184
  • Spectroscopy 89
  • Physiology 23
  • Biochemistry 29
Replace Min Song with:
Min Song China
Kazuhiko Hata Japan
Alicia M. Seldes Argentina
Jayme Cunha Bastos Brazil
Edward H. Gruger United States
K. Price United Kingdom
Jordan Nechev Bulgaria
Mohamed Mehiri France
Helena Ryšlavá Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel González‐Silvera

Since Specialization
Citations

This map shows the geographic impact of Daniel González‐Silvera'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 Daniel González‐Silvera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel González‐Silvera more than expected).

Fields of papers citing papers by Daniel González‐Silvera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel González‐Silvera. 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 Daniel González‐Silvera. The network helps show where Daniel González‐Silvera may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel González‐Silvera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel González‐Silvera Line = papers co-authored together Daniel González‐Silvera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 202047
3 201540
4 202133
5 201929
6 201928
7 202126
8 202226
9 201125
10 201821
11 202121
12 201420
13 202115
14 201115
15 202014
16 202214
17 202114
18 202113
19 201211
20 201410

About Daniel González‐Silvera

Daniel González‐Silvera is a scholar working on Aquatic Science, Immunology, Molecular Biology, Spectroscopy and Biochemistry, having authored 42 papers that have together received 572 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (14 papers), Aquaculture disease management and microbiota (11 papers), Molecular Sensors and Ion Detection (8 papers), Antioxidant Activity and Oxidative Stress (7 papers), Reproductive biology and impacts on aquatic species (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Algal biology and biofuel production (4 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Aquatic Science (211 citations), Immunology (184 citations), Spectroscopy (89 citations), Physiology (23 citations) and Biochemistry (29 citations). Daniel González‐Silvera has collaborated with scholars based in Spain, India and United Kingdom. Frequent co-authors include María Ángeles Esteban, Cristóbal Espinosa‐Ruíz, Gurjaspreet Singh, Alberto Cuesta, MOHIT Mohit, Pablo Sánchez-Jérez, David Izquierdo-Gómez, Francisco A. Guardiola, Diksha Diksha and Priyanka Priyanka. Their work appears in journals such as Fish & Shellfish Immunology, Food Chemistry, Inorganica Chimica Acta, Marine Environmental Research and New Journal of Chemistry.

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.

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