Fernando Goñi

3.0k citations
76 papers · 2.3k · h-index 28

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 13
    • Glycosylation and Glycoproteins Research 6
    • Alzheimer's disease research and treatments 19

Fernando Goñi

74 papers receiving 2.2k citations

Peers

Fernando Goñi
Comparison fields: 5 of 90
  • Neurology 348
  • Biological Psychiatry 83
  • Physiology 746
  • Small Animals 194
  • Radiology, Nuclear Medicine and Imaging 546
Replace Barbara A. Torres with:
Barbara A. Torres United States
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Goñi

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Goñi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015228
2 2004133
3 1997115
4 1985113
5 2000112
6 1986102
7 201483
8 200574
9 198873
10 201470
11 201069
12 198368
13 198561
14 201460
15 198553
16
Light chain cardiomyopathy. Structural analysis of the light chain tissue deposits.
199652
17 198551
18 198450
19 198848
20 200848

About Fernando Goñi

Fernando Goñi is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Neurology and Immunology, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (19 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Prion Diseases and Protein Misfolding (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Glycosylation and Glycoproteins Research (6 papers), Toxin Mechanisms and Immunotoxins (6 papers), Neuroblastoma Research and Treatments (4 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Neurology (348 citations), Biological Psychiatry (83 citations), Physiology (746 citations), Small Animals (194 citations) and Radiology, Nuclear Medicine and Imaging (546 citations). Fernando Goñi has collaborated with scholars based in United States, Uruguay and Spain. Frequent co-authors include Thomas Wısnıewskı, Blas Frangione, Carlos Carmona, Dennis A. Carson, Patrícia Berasain, Bernardo A. Pons‐Estel, John P. Dalton, Einar M. Sigurdsson, Henrieta Scholtzova and Pankaj Mehta. Their work appears in journals such as Alzheimer s & Dementia, The Journal of Experimental Medicine, The Journal of Immunology, Journal of Alzheimer s Disease and Neuroscience.

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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