V.A. Moar

1.8k citations
43 papers · 1.3k indexed · h-index 23

V.A. Moar

42 papers receiving 1.2k citations

Peers

V.A. Moar
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 626
  • Pediatrics, Perinatology and Child Health 1.0k
  • Nutrition and Dietetics 149
  • Pulmonary and Respiratory Medicine 239
  • Public Health, Environmental and Occupational Health 207
Replace David J.P. Barker with:
David J.P. Barker United Kingdom
Bero O. Verburg Netherlands
S. Gorham Babson United States
Conrad R. Chao United States
Andrew Bisits Australia
Marja‐Leena Hannila Finland
Aleid G. van Wassenaer‐Leemhuis Netherlands
Mervyn Susser United States
Diana M. Willis Canada
Elke Rodekamp Germany
V.A. Moar relative to David J.P. Barker United Kingdom David J.P. Barker's profile →
Citations per field
00.5×3.0×
David J.P. Barker · 1×
Citations per year

Countries citing papers authored by V.A. Moar

Since Specialization
Citations

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

Fields of papers citing papers by V.A. Moar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.A. Moar. 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 V.A. Moar. The network helps show where V.A. Moar may publish in the future.

Co-authorship network

The 9 scholars most cited alongside V.A. Moar, 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 V.A. Moar Line = papers co-authored together V.A. Moar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198916
2 198841
3 198829
4 198829
5 19872
6 19860
7 198517
8 198573
9 198552
10 198440
11 198465
12 198412
13 198329
14 198322
15 198240
16 1982180
17 198187
18 198177
19 198113
20 19808

About V.A. Moar

V.A. Moar is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Gender Studies, Pharmacy and Nutrition and Dietetics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Birth, Development, and Health (19 papers), Pregnancy and preeclampsia studies (12 papers), Date Palm Research Studies (9 papers), Child Nutrition and Water Access (5 papers), Neonatal Respiratory Health Research (5 papers), Gestational Diabetes Research and Management (5 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Demographic Trends and Gender Preferences (4 papers). The work is most often cited by research in Obstetrics and Gynecology (626 citations), Pediatrics, Perinatology and Child Health (1.0k citations), Nutrition and Dietetics (149 citations), Pulmonary and Respiratory Medicine (239 citations) and Public Health, Environmental and Occupational Health (207 citations). V.A. Moar has collaborated with scholars based in United Kingdom. Frequent co-authors include Margaret Ounsted, A.J. Scott, Christopher W.G. Redman, Janet Cockburn, Lesley Mutch, C.W.G. Redman, A.A. Calder, A. C. Turnbull and C.W.G. Redman. Their work appears in journals such as Early Human Development, Acta Paediatrica, BJOG An International Journal of Obstetrics & Gynaecology, Archives of Disease in Childhood and Obstetrical & Gynecological Survey.

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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