Daniel Diaz‐Gil

14 papers receiving 371 citations

Peers

Daniel Diaz‐Gil
Comparison fields: 5 of 60
  • Anesthesiology and Pain Medicine 122
  • Developmental Neuroscience 30
  • Critical Care and Intensive Care Medicine 26
  • Physical and Theoretical Chemistry 27
  • Endocrine and Autonomic Systems 17
Replace Maíra I. Rudolph with:
Maíra I. Rudolph United States
Flora T. Scheffenbichler United States
Alex Zwiers Netherlands
P. Ionescu United States
N. H. Jensen Denmark
Kenji Ogli Japan
J. Baum Germany
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H. Takeshita Japan
Aneta Chmielewski United Kingdom
Daniel Diaz‐Gil relative to Maíra I. Rudolph United States Maíra I. Rudolph's profile →
Citations per field
00.5×10×13.5×
Maíra I. Rudolph · 1×
Citations per year

Countries citing papers authored by Daniel Diaz‐Gil

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Diaz‐Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015140
2 201571
3 201638
4 201638
5 201628
6 201622
7 201419
8 20149
9 20243
10 20243
11 20222
12 20241
13 20241
14 20251
15 20250
16 20240
17 20250
18 20250

About Daniel Diaz‐Gil

Daniel Diaz‐Gil is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine, Physiology, Genetics and Pharmacology, having authored 18 papers that have together received 376 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Anesthesia and Sedative Agents (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Connective tissue disorders research (2 papers), Cardiac Valve Diseases and Treatments (1 paper), Cardiac Imaging and Diagnostics (1 paper), Dysphagia Assessment and Management (1 paper) and Oil and Gas Production Techniques (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (122 citations), Developmental Neuroscience (30 citations), Critical Care and Intensive Care Medicine (26 citations), Physical and Theoretical Chemistry (27 citations) and Endocrine and Autonomic Systems (17 citations). Daniel Diaz‐Gil has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Matthias Eikermann, Tobias Kurth, Duncan McLean, Karim S. Ladha, Hassan Farhan, Matthias Eikermann, Ingrid Moreno‐Duarte, Lyle Isaacs, Shweta Ganapati and Katharina Eikermann‐Haerter. Their work appears in journals such as Anesthesiology, JACC Basic to Translational Science, Frontiers in Pediatrics, Journal of Thoracic and Cardiovascular Surgery and Pharmaceuticals.

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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