D Abbott

22 papers receiving 384 citations

Peers

D Abbott
Comparison fields: 5 of 43
  • Obstetrics and Gynecology 106
  • Epidemiology 247
  • Public Health, Environmental and Occupational Health 192
  • Pulmonary and Respiratory Medicine 131
  • Immunology and Allergy 22
Replace Meltem Demir with:
Meltem Demir Türkiye
Neil Pattison New Zealand
Susana Machado Portugal
Patricia Davenport United States
Albana Cerekja Italy
Malak Elbatarny Canada
Mohamed Nisar United Kingdom
Roland Weber Switzerland
M. Bürger Germany
Nancy A. Callan United States
D Abbott relative to Meltem Demir Türkiye Meltem Demir's profile →
Citations per field
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Meltem Demir · 1×
Citations per year

Countries citing papers authored by D Abbott

Since Specialization
Citations

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

Fields of papers citing papers by D Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2
Epidural anesthesia in pregnant patients with low platelet counts.
198880
3 201574
4 200533
5 201626
6 201418
7 201617
8 201216
9 200914
10 20135
11 20133
12 20112
13 20122
14
Multiple antibody formation in a primigravida: anti-D, anti-C, anti-Kpb.
19822
15 20142
16 20121
17 20131
18 20131
19 20121
20 20121

About D Abbott

D Abbott is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Rheumatology, having authored 22 papers that have together received 396 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (18 papers), Pregnancy-related medical research (9 papers), Neonatal Respiratory Health Research (8 papers), Pregnancy and preeclampsia studies (3 papers), Pelvic floor disorders treatments (3 papers), Maternal and Perinatal Health Interventions (2 papers), Reproductive tract infections research (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Obstetrics and Gynecology (106 citations), Epidemiology (247 citations), Public Health, Environmental and Occupational Health (192 citations), Pulmonary and Respiratory Medicine (131 citations) and Immunology and Allergy (22 citations). D Abbott has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew Shennan, Paul T. Seed, Rachel M. Tribe, John Freedman, Natasha L. Hezelgrave, Stephen H. Rolbin, F.R. Papsin, Joanna Girling, John J. Reynolds and Charles D. Pusey. Their work appears in journals such as Archives of Disease in Childhood Fetal & Neonatal, American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology, Journal of the American Society of Nephrology and American Journal Of Pathology.

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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