Macor Wan

1.0k citations
12 papers · 805 · h-index 12

Impact in

Papers in

Macor Wan

12 papers receiving 787 citations

Peers

Macor Wan
Comparison fields: 5 of 70
  • Obstetrics and Gynecology 215
  • Epidemiology 524
  • Public Health, Environmental and Occupational Health 297
  • Microbiology 56
  • Immunology 189
Replace Mohamed Emamian with:
Mohamed Emamian United States
Apostolos P. Athanassiadis United States
Maurizio Galasso United States
Heriberto Araneda Chile
Jossimara Polettini Brazil
Katsufumi Otsuki Japan
Phillip C. Greig United States
Tate Gisslen United States
Knut Jørgen Arntzen Norway
Ulrika Holmlund Sweden
Macor Wan relative to Mohamed Emamian United States Mohamed Emamian's profile →
Citations per field
00.5×1.5×
Mohamed Emamian · 1×
Citations per year

Countries citing papers authored by Macor Wan

Since Specialization
Citations

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

Fields of papers citing papers by Macor Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1988176
2 1987161
3 1988158
4
Growth of the fetal stomach in normal pregnancies.
198769
5 198761
6 198845
7 198838
8 198624
9 199021
10 198721
11 198917
12 198814

About Macor Wan

Macor Wan is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 805 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (7 papers), Pregnancy and preeclampsia studies (3 papers), Prenatal Screening and Diagnostics (2 papers), Pregnancy-related medical research (2 papers), Reproductive tract infections research (2 papers), Neonatal Respiratory Health Research (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers) and Intestinal Malrotation and Obstruction Disorders (1 paper). The work is most often cited by research in Obstetrics and Gynecology (215 citations), Epidemiology (524 citations), Public Health, Environmental and Occupational Health (297 citations), Microbiology (56 citations) and Immunology (189 citations). Macor Wan has collaborated with scholars based in United States. Frequent co-authors include Roberto Romero, Mohamed Emamian, John C. Hobbins, Moshe Mazor, Rubén A. Quintero, Murray D. Mitchell, Stephen C. Edberg, P F Roslansky, John C. Hobbins and E Oyarzún. Their work appears in journals such as American Journal of Obstetrics and Gynecology, American Journal of Perinatology, Journal of Ultrasound in Medicine and PubMed.

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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