Matthew T. Hutcherson

969 citations
11 papers · 348 indexed · h-index 6

Matthew T. Hutcherson

10 papers receiving 339 citations

Peers

Matthew T. Hutcherson
Comparison fields: 5 of 42
  • Anesthesiology and Pain Medicine 128
  • Critical Care and Intensive Care Medicine 40
  • Cardiology and Cardiovascular Medicine 139
  • Surgery 214
  • Developmental Neuroscience 18
Replace Amanda J. Naylor with:
Amanda J. Naylor United States
Christina H. Shin United States
Jean Kwo United States
Steve Leung United States
P C Ip-Yam Singapore
Adrienne Stewart United Kingdom
Sabrina T. Bent United States
D.I. Sessler United States
Harry P. M. M. Gelissen Netherlands
L. A. Schwarte Germany
Matthew T. Hutcherson relative to Amanda J. Naylor United States Amanda J. Naylor's profile →
Citations per field
00.5×
Amanda J. Naylor · 1×
Citations per year

Countries citing papers authored by Matthew T. Hutcherson

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Hutcherson'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 Matthew T. Hutcherson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Hutcherson more than expected).

Fields of papers citing papers by Matthew T. Hutcherson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Hutcherson. 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 Matthew T. Hutcherson. The network helps show where Matthew T. Hutcherson may publish in the future.

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 201932
2 20170
3 201625
4 20164
5 20165
6 201617
7 20161
8 201548
9 2015214
10 20151
11
Thermoregulation and Postoperative Outcomes
20141

About Matthew T. Hutcherson

Matthew T. Hutcherson is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Developmental Neuroscience, having authored 11 papers that have together received 348 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Anesthesia and Pain Management (5 papers), Hemodynamic Monitoring and Therapy (3 papers), Airway Management and Intubation Techniques (2 papers), Cardiac Arrest and Resuscitation (2 papers), Respiratory Support and Mechanisms (2 papers), Anesthesia and Sedative Agents (2 papers) and Total Knee Arthroplasty Outcomes (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (128 citations), Critical Care and Intensive Care Medicine (40 citations) and Cardiology and Cardiovascular Medicine (139 citations). Matthew T. Hutcherson has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Daniel I. Sessler, Andrea Kurz, Amanda J. Naylor, P.J. Devereaux, Zhuo Sun, Hussain Alzayer, Shaan Chugh, Patrick Sean Finnegan, Jarrod E. Dalton and Saeed Darvish‐Kazem.

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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