Zarqa Saif

21 papers receiving 410 citations

Peers

Zarqa Saif
Comparison fields: 5 of 56
  • Obstetrics and Gynecology 130
  • Behavioral Neuroscience 49
  • Pediatrics, Perinatology and Child Health 193
  • Immunology 94
  • Public Health, Environmental and Occupational Health 107
Replace Shigenori Iwagaki with:
Shigenori Iwagaki Japan
Annamaria Baggiani Italy
María Victoria Bariani United States
K Williams United States
Stephen Power Canada
Rie Kawaguchi Japan
J. Kleinstein Germany
K.M. Doody United States
Dimitra E. Zazara Germany
Randall M. Wilson United States
Zarqa Saif relative to Shigenori Iwagaki Japan Shigenori Iwagaki's profile →
Citations per field
00.5×4.4×
Shigenori Iwagaki · 1×
Citations per year

Countries citing papers authored by Zarqa Saif

Since Specialization
Citations

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

Fields of papers citing papers by Zarqa Saif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zarqa Saif, 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 Zarqa Saif Line = papers co-authored together Zarqa Saif 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 201478
2 200565
3 201557
4 201737
5 201733
6 201626
7 201624
8 201922
9 202019
10 201915
11 20217
12 20227
13 20214
14 20224
15 20143
16 20222
17 20212
18 20162
19
Glucocorticoid receptor isoform expression profile in the rat placenta and fetal liver in pregnancies exposed to periconceptional alcohol
20181
20 20241

About Zarqa Saif

Zarqa Saif is a scholar working on Immunology, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 410 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (12 papers), Pregnancy and preeclampsia studies (10 papers), Pregnancy and Medication Impact (7 papers), Birth, Development, and Health (7 papers), Neonatal Respiratory Health Research (5 papers), Estrogen and related hormone effects (4 papers), Gestational Diabetes Research and Management (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Obstetrics and Gynecology (130 citations), Behavioral Neuroscience (49 citations), Pediatrics, Perinatology and Child Health (193 citations), Immunology (94 citations) and Public Health, Environmental and Occupational Health (107 citations). Zarqa Saif has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Vicki L. Clifton, Ashley S. Meakin, Nicolette A. Hodyl, Astrud Tuck, Nick Z. Lu, A. Osei-Kumah, Karen M. Moritz, Miriam Butler, Timothy J. Cole and James Cuffe. Their work appears in journals such as Placenta, Expert Review of Respiratory Medicine, Journal of Asthma, Alcoholism Clinical and Experimental Research and Journal of Endocrinology.

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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