V.A. Moar

1.8k citations
43 papers · 1.5k · h-index 24

Impact in

Papers in

V.A. Moar

42 papers receiving 1.3k citations

Peers

V.A. Moar
Comparison fields: 5 of 89
  • Obstetrics and Gynecology 619
  • Pediatrics, Perinatology and Child Health 959
  • Nutrition and Dietetics 137
  • Pulmonary and Respiratory Medicine 211
  • Public Health, Environmental and Occupational Health 183
Replace David J.P. Barker with:
David J.P. Barker United Kingdom
S. Gorham Babson United States
Pritchard Ja United States
Sonja Strang‐Karlsson Finland
Samantha J. Lain Australia
Bero O. Verburg Netherlands
Lisa Mele United States
Diana M. Willis Canada
Petra Jones Malta
Karen Schellong Germany
V.A. Moar relative to David J.P. Barker United Kingdom David J.P. Barker's profile →
Citations per field
00.5×2×3×3.8×
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-authors

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

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982209
2 198191
3 198187
4 198578
5 198077
6 198470
7 197455
8 198554
9 198845
10 197744
11 198441
12 198341
13 198241
14 197740
15 197838
16 198537
17 198235
18 198333
19 198832
20 198832

About V.A. Moar

V.A. Moar is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Plant Science, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.5k 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), Gestational Diabetes Research and Management (5 papers), Child Nutrition and Water Access (5 papers), Neonatal Respiratory Health Research (5 papers), Demographic Trends and Gender Preferences (4 papers) and Assisted Reproductive Technology and Twin Pregnancy (4 papers). The work is most often cited by research in Obstetrics and Gynecology (619 citations), Pediatrics, Perinatology and Child Health (959 citations), Nutrition and Dietetics (137 citations), Pulmonary and Respiratory Medicine (211 citations) and Public Health, Environmental and Occupational Health (183 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 European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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