Daniel Diaz‐Gil

558 citations
18 papers · 347 · h-index 8

Impact in

Papers in

Daniel Diaz‐Gil

14 papers receiving 344 citations

Peers

Daniel Diaz‐Gil
Comparison fields: 5 of 61
  • Anesthesiology and Pain Medicine 163
  • Developmental Neuroscience 47
  • Critical Care and Intensive Care Medicine 51
  • Cardiology and Cardiovascular Medicine 101
  • Endocrine and Autonomic Systems 29
Replace Ingrid Moreno‐Duarte with:
Ingrid Moreno‐Duarte United States
Maíra I. Rudolph United States
J. Baum Germany
Kenji Ogli Japan
Jonathan W. Tanner United States
Satoshi Yokono Japan
János Szenohradszky United States
Alex Zwiers Netherlands
N. H. Jensen Denmark
Michael J. Spellman United States
Daniel Diaz‐Gil relative to Ingrid Moreno‐Duarte United States Ingrid Moreno‐Duarte's profile →
Citations per field
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Ingrid Moreno‐Duarte · 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 2015130
2 201564
3 201636
4 201635
5 201624
6 201621
7 201417
8 20149
9 20243
10 20243
11 20222
12 20251
13 20241
14 20241
15 20250
16 20240
17 20250
18 20250

About Daniel Diaz‐Gil

Daniel Diaz‐Gil is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 18 papers that have together received 347 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (5 papers), Airway Management and Intubation Techniques (3 papers), Cardiovascular Function and Risk Factors (3 papers), Anesthesia and Sedative Agents (3 papers), Congenital Heart Disease Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Connective tissue disorders research (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (163 citations), Developmental Neuroscience (47 citations), Critical Care and Intensive Care Medicine (51 citations), Cardiology and Cardiovascular Medicine (101 citations) and Endocrine and Autonomic Systems (29 citations). Daniel Diaz‐Gil has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Matthias Eikermann, Tobias Kurth, Hassan Farhan, Duncan McLean, Karim S. Ladha, Matthias Eikermann, Ingrid Moreno‐Duarte, Lyle Isaacs, Katharina Eikermann‐Haerter and Shweta Ganapati. Their work appears in journals such as Anesthesiology, Computers in Biology and Medicine, Journal of Thoracic and Cardiovascular Surgery, Frontiers in Pediatrics 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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