Carlos Goicoechea

1.6k citations
78 papers · 1.2k indexed · h-index 20

Carlos Goicoechea

71 papers receiving 1.2k citations

Peers

Carlos Goicoechea
Comparison fields: 5 of 105
  • Pharmacology 342
  • Physiology 520
  • Cellular and Molecular Neuroscience 333
  • Anesthesiology and Pain Medicine 67
  • Toxicology 38
Replace Magdalena Bujalska‐Zadrożny with:
Magdalena Bujalska‐Zadrożny Poland
Melik Seyrek Türkiye
Yuka Sudo Japan
Donna M. Gauvin United States
Kumar V.S. Nemmani India
Kanako Miyano Japan
Anna Elisa Trovato Italy
Isabella Bettoni Italy
Michael M. Ndengele United States
Elena Lucarini Italy
Carlos Goicoechea relative to Magdalena Bujalska‐Zadrożny Poland Magdalena Bujalska‐Zadrożny's profile →
Citations per field
00.5×1.5×1.8×
Magdalena Bujalska‐Zadrożny · 1×
Citations per year

Countries citing papers authored by Carlos Goicoechea

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Goicoechea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Goicoechea. 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 Carlos Goicoechea. The network helps show where Carlos Goicoechea may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Carlos Goicoechea, 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 Carlos Goicoechea Line = papers co-authored together Carlos Goicoechea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202413
3 202210
4 202215
5 20223
6 20214
7 20214
8 20203
9 201915
10 20192
11 201910
12 201815
13 20170
14 201616
15
Buprenorfina en el dolor postoperatorio
20121
16 201287
17
5. La importancia de las ayudas visuales
20101
18 20063
19 200310
20 20005

About Carlos Goicoechea

Carlos Goicoechea is a scholar working on Physiology, Anesthesiology and Pain Medicine and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (51 papers), Neuropeptides and Animal Physiology (17 papers), Pain Management and Opioid Use (7 papers), Musculoskeletal pain and rehabilitation (7 papers), Pain Management and Placebo Effect (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Pharmacological Receptor Mechanisms and Effects (6 papers) and Cannabis and Cannabinoid Research (6 papers). The work is most often cited by research in Pharmacology (342 citations), Physiology (520 citations) and Cellular and Molecular Neuroscience (333 citations). Carlos Goicoechea has collaborated with scholars based in Spain, United Kingdom and Portugal. Frequent co-authors include David Pascual, Marı́a Isabel Martı́n, Margarita Suardíaz, M.I. Martı́n, Rocı́o Girón, Ainhoa Bilbao, Guillermo Estivill‐Torrús, Fernando Rodrı́guez de Fonseca, M. Martin and Diego Gómez‐Nicola. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

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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