Caitlin D. Sutton

17 papers receiving 222 citations

Peers

Caitlin D. Sutton
Comparison fields: 5 of 44
  • Anesthesiology and Pain Medicine 30
  • Obstetrics and Gynecology 26
  • Pediatrics, Perinatology and Child Health 58
  • Surgery 110
  • Developmental Neuroscience 7
Replace Udita Naithani with:
Udita Naithani India
Atara Davis Israel
Mukesh C. Sarna United States
Naveen Nathan United States
E Pushpanathan United States
Michael Ronayne Canada
Nadir Sharawi United States
Arani Pillai United Kingdom
J.C.A. Carvalho Canada
Christian Loubert Canada
Caitlin D. Sutton relative to Udita Naithani India Udita Naithani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Caitlin D. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin D. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin D. Sutton. 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 Caitlin D. Sutton. The network helps show where Caitlin D. Sutton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016125
2 201724
3 201916
4 202312
5 202012
6 202111
7 20178
8 20236
9 20184
10 20223
11 20212
12 20242
13 20212
14 19861
15 20171
16 19861
17 20241
18 20250
19 20210
20 20240

About Caitlin D. Sutton

Caitlin D. Sutton is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 20 papers that have together received 231 indexed citations. Recurring topics across this work include Spinal Dysraphism and Malformations (3 papers), Neonatal Respiratory Health Research (3 papers), Anesthesia and Pain Management (2 papers), Soil Geostatistics and Mapping (2 papers), Pain Management and Opioid Use (2 papers), Data Management and Algorithms (2 papers), Palliative Care and End-of-Life Issues (2 papers) and Maternal and Perinatal Health Interventions (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (30 citations), Obstetrics and Gynecology (26 citations), Pediatrics, Perinatology and Child Health (58 citations), Surgery (110 citations) and Developmental Neuroscience (7 citations). Caitlin D. Sutton has collaborated with scholars based in United States and Germany. Frequent co-authors include Brendan Carvalho, Alexander J. Butwick, Edward T. Riley, Pamela Flood, Tina A. Leone, John J. Kowalczyk, Arvind Chandrakantan, Adam C. Adler, Danielle Guffey and Sylvia Sudat. Their work appears in journals such as International Journal of Obstetric Anesthesia, Journal of Applied Probability, Fetal Diagnosis and Therapy, Anesthesiology Clinics and Regional Anesthesia & Pain Medicine.

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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