Fernando Suparregui Dias

949 citations
36 papers · 478 indexed · h-index 12
Topics
Sepsis Diagnosis and Treatment (15 papers)Immune Response and Inflammation (8 papers)Hemodynamic Monitoring and Therapy (7 papers)
Partner nations
BrazilSpainUruguay

In The Last Decade

Fernando Suparregui Dias

35 papers receiving 449 citations

Peers

Fernando Suparregui Dias
Comparison fields: 5 of 83
  • Epidemiology 210
  • Immunology 106
  • Surgery 78
  • Critical Care and Intensive Care Medicine 77
  • Public Health, Environmental and Occupational Health 62
Replace Ana Maria Bonametti with:
Ana Maria Bonametti Brazil
Claudio Pognani Italy
Markus Castegren Sweden
Kathryn Puxty United Kingdom
Elke Muhl Germany
Jordi Adamuz Spain
Gisela De La Rosa Colombia
B. Cavestri France
Maria Paola Ronchetti Italy
Benjamin Clouzeau France
Fernando Suparregui Dias relative to Ana Maria Bonametti Brazil Ana Maria Bonametti's profile →
Citations per field
00.5×1.5×1.9×
Ana Maria Bonametti · 1×
Citations per year

Countries citing papers authored by Fernando Suparregui Dias

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Suparregui Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Suparregui Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Suparregui Dias. A scholar is included among the top collaborators of Fernando Suparregui Dias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando Suparregui Dias. Fernando Suparregui Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 4
3 4
4 22
5 10
6 6
7 4
8 5
9 12
10 19
11 22
12 22
13 3
14 30
15 9
16
Sepse: uma visão atual: [revisão]
3
17 1
18 11
19 26
20 7

About Fernando Suparregui Dias

Fernando Suparregui Dias is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Epidemiology, having authored 36 papers that have together received 478 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (15 papers), Immune Response and Inflammation (8 papers) and Hemodynamic Monitoring and Therapy (7 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (77 citations), Epidemiology (210 citations) and Applied Microbiology and Biotechnology (11 citations). Fernando Suparregui Dias has collaborated with scholars based in Brazil, Spain and Uruguay. Frequent co-authors include Clarice Sampaio Alho, Gilberto Friedman, Cid Marcos David, Cláudio Piras, Ronir Raggio Luiz, R Hatum, Diego D’Ávila Paskulin, Edwin Koterba, André Miguel Japiassú and Ciro Leite Mendes. Their work appears in journals such as Social Science & Medicine, Gene and Critical Care.

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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