P. Cox

4.5k citations
99 papers · 3.1k · h-index 36

Impact in

Papers in

P. Cox

95 papers receiving 2.9k citations

Peers

P. Cox
Comparison fields: 5 of 147
  • Obstetrics and Gynecology 427
  • Pediatrics, Perinatology and Child Health 1.1k
  • Genetics 170
  • Genetics 419
  • Developmental Neuroscience 50
Replace Deborah E. McFadden with:
Deborah E. McFadden Canada
Yuval Yaron Israel
Gaetano Bulfamante Italy
Dorothy Warburton United States
Simon C. Riley United Kingdom
Monica Miozzo Italy
Norman D. Rosenblum Canada
William A. Pastor United States
Harald Abele Germany
Gottfried Dohr Austria
P. Cox relative to Deborah E. McFadden Canada Deborah E. McFadden's profile →
Citations per field
00.5×1.5×2.4×
Deborah E. McFadden · 1×
Citations per year

Countries citing papers authored by P. Cox

Since Specialization
Citations

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

Fields of papers citing papers by P. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006212
2 2006114
3 2009108
4 1997106
5 2007102
6 1998100
7 200095
8 201394
9 201293
10
Relationship between MR imaging and histopathologic findings of the brain in extremely sick preterm infants.
199993
11 200288
12 201782
13 200381
14 200470
15 196867
16 201265
17 200058
18 201556
19 199655
20 200455

About P. Cox

P. Cox is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Genetics, having authored 99 papers that have together received 3.1k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (14 papers), Assisted Reproductive Technology and Twin Pregnancy (13 papers), Pregnancy and preeclampsia studies (11 papers), Neonatal and fetal brain pathology (7 papers), Fetal and Pediatric Neurological Disorders (6 papers), Autopsy Techniques and Outcomes (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (427 citations), Pediatrics, Perinatology and Child Health (1.1k citations), Genetics (170 citations), Genetics (419 citations) and Developmental Neuroscience (50 citations). P. Cox has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Nicholas M. Fisk, Tamás Marton, Mark D. Kilby, A. David Edwards, M. J. Taylor, M.L. Denbow, Louise Brueton, John D. Williamson, Somchai Tanawattanacharoen and D.G. Talbert. Their work appears in journals such as Prenatal Diagnosis, Pediatric and Developmental Pathology, BJOG An International Journal of Obstetrics & Gynaecology, Placenta and Neuropathology and Applied Neurobiology.

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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