Daniel Vena

1.6k citations
77 papers · 988 · h-index 16

Impact in

Papers in

Daniel Vena

65 papers receiving 975 citations

Peers

Daniel Vena
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 313
  • Physiology 756
  • Cognitive Neuroscience 174
  • Human-Computer Interaction 36
  • Pulmonary and Respiratory Medicine 156
Replace Anu Muraja‐Murro with:
Anu Muraja‐Murro Finland
Jennifer M. Cori Australia
I. L. Mortimore United Kingdom
W. Cassel Germany
Vlasta Hajek Canada
Donald J. Erickson United States
R Schwab United States
Panagis Drakatos United Kingdom
Lennart Knaack Germany
Antti Kulkas Finland
Daniel Vena relative to Anu Muraja‐Murro Finland Anu Muraja‐Murro's profile →
Citations per field
00.5×10×13.3×
Anu Muraja‐Murro · 1×
Citations per year

Countries citing papers authored by Daniel Vena

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 2021108
3 202089
4 201362
5 202257
6 202350
7 202049
8 201343
9 202235
10 202234
11 202331
12 202229
13 202228
14 202420
15 202418
16 202117
17 202211
18 201511
19 20209
20 20258

About Daniel Vena

Daniel Vena is a scholar working on Physiology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 988 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (65 papers), Neuroscience of respiration and sleep (18 papers), Sleep and Wakefulness Research (9 papers), Respiratory Support and Mechanisms (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Dysphagia Assessment and Management (5 papers), Body Composition Measurement Techniques (4 papers) and Cardiovascular and Diving-Related Complications (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (313 citations), Physiology (756 citations), Cognitive Neuroscience (174 citations), Human-Computer Interaction (36 citations) and Pulmonary and Respiratory Medicine (156 citations). Daniel Vena has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Scott A. Sands, Ali Azarbarzin, Andrew Wellman, David P. White, Luigi Taranto‐Montemurro, Susan Redline, Tamar Sofer, L. Gell, Ludovico Messineo and Lauren B. Hess. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Annals of the American Thoracic Society, Sleep Medicine, SLEEP and Thorax.

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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