Daniel Sganzerla

20 papers receiving 180 citations

Peers

Daniel Sganzerla
Comparison fields: 5 of 53
  • Critical Care and Intensive Care Medicine 69
  • Radiological and Ultrasound Technology 64
  • Emergency Medicine 31
  • Geriatrics and Gerontology 12
  • Clinical Psychology 32
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Hiromasa Irie Japan
Ivo W. Soliman Netherlands
Khaled Mohammed Al‐Sayaghi Saudi Arabia
F. Salomon Germany
Krishnaswamy Sundararajan Australia
Stephen Matchett United States
Leslie M. Chu Canada
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Işıl Köse Türkiye
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Citations per year

Countries citing papers authored by Daniel Sganzerla

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sganzerla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202132
2 202027
3 201925
4 201823
5 202012
6 202011
7 201911
8 20247
9 20216
10 20226
11 20215
12 20243
13 20233
14 20222
15 20172
16 20242
17 20192
18 20231
19 20231
20
Development of a multivariable prediction model to predict subjective refraction in patients with refractive errors
20201

About Daniel Sganzerla

Daniel Sganzerla is a scholar working on Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology, General Health Professions, Epidemiology and Emergency Medicine, having authored 21 papers that have together received 182 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (10 papers), Family and Patient Care in Intensive Care Units (7 papers), Family Caregiving in Mental Illness (3 papers), Emergency and Acute Care Studies (2 papers), Respiratory Support and Mechanisms (2 papers), Workplace Health and Well-being (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (69 citations), Radiological and Ultrasound Technology (64 citations), Emergency Medicine (31 citations), Geriatrics and Gerontology (12 citations) and Clinical Psychology (32 citations). Daniel Sganzerla has collaborated with scholars based in Brazil, France and Canada. Frequent co-authors include Régis Goulart Rosa, Cassiano Teixeira, Maicon Falavigna, Camila Dietrich, Renata Kochhann, Carísi Anne Polanczyk, Fernando A. Bozza, Caroline Cabral Robinson, Denise de Souza and Gilberto Friedman. Their work appears in journals such as Critical Care Medicine, Food Bioscience, Annals of Intensive Care, Journal of Critical Care and Pediatric Critical Care Medicine.

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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