Daniel K. Reasoner

684 citations
14 papers · 506 · h-index 10

Impact in

    • Airway Management and Intubation Techniques
    • Anesthesia and Sedative Agents
  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neurosurgical Procedures and Complications

Papers in

    • Healthcare Technology and Patient Monitoring 2
    • Hemodynamic Monitoring and Therapy 2
    • Airway Management and Intubation Techniques 3
    • Anesthesia and Sedative Agents 3

Daniel K. Reasoner

12 papers receiving 468 citations

Peers

Daniel K. Reasoner
Comparison fields: 5 of 53
  • Anesthesiology and Pain Medicine 153
  • Neurology 118
  • Developmental Neuroscience 26
  • Critical Care and Intensive Care Medicine 21
  • Emergency Medicine 38
Replace Padmaja Durga with:
Padmaja Durga India
Laurence S. Reisner United States
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J. Edmonds‐Seal United Kingdom
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K Hanaoka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel K. Reasoner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Reasoner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Daniel K. Reasoner, 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 K. Reasoner Line = papers co-authored together Daniel K. Reasoner links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1994125
2 199557
3 199653
4 199651
5 199649
6 199649
7 199646
8 199026
9 199722
10 199613
11 19909
12 19964
13 19971
14 19911

About Daniel K. Reasoner

Daniel K. Reasoner is a scholar working on Surgery, Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine, Neurology and Epidemiology, having authored 14 papers that have together received 506 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cardiovascular and Diving-Related Complications (3 papers), Airway Management and Intubation Techniques (3 papers), Anesthesia and Sedative Agents (3 papers), Acute Ischemic Stroke Management (3 papers), Healthcare Technology and Patient Monitoring (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (153 citations), Neurology (118 citations), Developmental Neuroscience (26 citations), Critical Care and Intensive Care Medicine (21 citations) and Emergency Medicine (38 citations). Daniel K. Reasoner has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael M. Todd, David S. Warner, Franklin Dexter, Javier H. Campos, John R. Moyers, Franklin L. Scamman, Bradley J. Hindman, Johann Cutkomp, Jerry Kirchner and Alberto Subieta. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, Stroke, Journal of Neurosurgical Anesthesiology and Brain Research.

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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