Rafael Miguel

3.4k citations
48 papers · 2.4k indexed · h-index 21
Topics
Anesthesia and Pain Management (28 papers)Anesthesia and Sedative Agents (21 papers)Pain Management and Opioid Use (11 papers)
Partner nations
United States

In The Last Decade

Rafael Miguel

46 papers receiving 2.2k citations

Peers

Rafael Miguel
Comparison fields: 5 of 92
  • Anesthesiology and Pain Medicine 1.6k
  • Surgery 1.3k
  • Physiology 498
  • Cardiology and Cardiovascular Medicine 368
  • Pediatrics, Perinatology and Child Health 269
Replace Walter Klimscha with:
Walter Klimscha Austria
Pekka Tarkkila Finland
Anil Gupta Sweden
Christopher Lysakowski Switzerland
Anis Baraka Lebanon
Toshiaki Nishikawa Japan
C. Lebrault France
Joel B. Gunter United States
M. Wattwil Sweden
Asokumar Buvanendran United States
Rafael Miguel relative to Walter Klimscha Austria Walter Klimscha's profile →
Citations per field
00.5×
Walter Klimscha · 1×
Citations per year

Countries citing papers authored by Rafael Miguel

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Miguel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Miguel

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Miguel. A scholar is included among the top collaborators of Rafael Miguel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafael Miguel. Rafael Miguel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 70
2 20
3 16
4 233
5 15
6 122
7 5
8 41
9 5
10 142
11 84
12 88
13 3
14 364
15 0
16 20
17
Perioperative considerations in outpatient surgery.
3
18 36
19 75
20 6

About Rafael Miguel

Rafael Miguel is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience and Surgery, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (28 papers), Anesthesia and Sedative Agents (21 papers) and Pain Management and Opioid Use (11 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (1.6k citations), Developmental Neuroscience (193 citations) and Critical Care and Intensive Care Medicine (236 citations). Rafael Miguel has collaborated with scholars based in United States. Frequent co-authors include Eugene S. Fu, John Scharf, Michel Y. Dubois, James C. Eisenach, Stuart DuPen, Melvin Pitts, James B. Streisand, Roy G. Soto, Charles W. Hogue and Andrew Bowdle. Their work appears in journals such as Oncogene, Pain and CHEST Journal.

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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