Cheryl Dear

523 citations
8 papers · 419 · h-index 7

Impact in

Papers in

Cheryl Dear

8 papers receiving 394 citations

Peers

Cheryl Dear
Comparison fields: 5 of 57
  • Transplantation 45
  • Obstetrics and Gynecology 48
  • Surgery 213
  • Pulmonary and Respiratory Medicine 132
  • Pediatrics, Perinatology and Child Health 52
Replace SCOTT L. BROWN with:
SCOTT L. BROWN United States
Selçuk Şahin Türkiye
Amit Trivedi Australia
R Romero Spain
J Hanrahan United States
Elianne J.L.E. Vrijlandt Netherlands
Federico Moser Argentina
Santiago Weller Argentina
Verónica Gorodner Argentina
Norman B. Hodgson United States
Cheryl Dear relative to SCOTT L. BROWN United States SCOTT L. BROWN's profile →
Citations per field
00.5×4.5×
SCOTT L. BROWN · 1×
Citations per year

Countries citing papers authored by Cheryl Dear

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Dear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Cheryl Dear, 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 Cheryl Dear Line = papers co-authored together Cheryl Dear links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1990180
2 200476
3 199071
4 199030
5
The significance of increasing umbilical artery systolic-diastolic ratios in third-trimester pregnancy.
199227
6 200221
7
Monitoring intrauterine pressure during active labor. A prospective comparison of two methods.
19899
8 19925

About Cheryl Dear

Cheryl Dear is a scholar working on Obstetrics and Gynecology, Surgery, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Oncology, having authored 8 papers that have together received 419 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (2 papers), Transplantation: Methods and Outcomes (2 papers), Prenatal Screening and Diagnostics (1 paper), Maternal and Perinatal Health Interventions (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Polyomavirus and related diseases (1 paper), Birth, Development, and Health (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Transplantation (45 citations), Obstetrics and Gynecology (48 citations), Surgery (213 citations), Pulmonary and Respiratory Medicine (132 citations) and Pediatrics, Perinatology and Child Health (52 citations). Cheryl Dear has collaborated with scholars based in United States and Canada. Frequent co-authors include John Craven, G. Alexander Patterson, Ronald F. Grossman, Noé Zamel, Adaani Frost, Jonathan D. Cooper, J.R. Maurer, Paula Gardner, Lawrence D. Devoe and Janet Parsons. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Archives of Physical Medicine and Rehabilitation, CHEST Journal, Clinics in Chest Medicine and New England Journal of 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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