Maria Faas

24 papers receiving 792 citations

Peers

Maria Faas
Comparison fields: 5 of 73
  • Obstetrics and Gynecology 338
  • Immunology 244
  • Pediatrics, Perinatology and Child Health 180
  • Orthopedics and Sports Medicine 44
  • Biochemistry 33
Replace Gertrud Unfried with:
Gertrud Unfried Austria
Mei‐Leng Cheong Taiwan
Anelia Petkova United States
Mathieu Nadeau‐Vallée Canada
D. Évain-Brion France
Hiroki Tabata Japan
John E. Nichols United States
Yosuke Ono Japan
Prasoon Agarwal Sweden
Maria Faas relative to Gertrud Unfried Austria Gertrud Unfried's profile →
Citations per field
00.5×
Gertrud Unfried · 1×
Citations per year

Countries citing papers authored by Maria Faas

Since Specialization
Citations

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

Fields of papers citing papers by Maria Faas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994245
2 2020133
3 201274
4 200053
5 202051
6 201146
7
Glomerular inflammation in pregnant rats after infusion of low dose endotoxin. An immunohistological study in experimental pre-eclampsia.
199544
8 201737
9 200323
10 202115
11 199715
12 200814
13 19999
14 19938
15 19977
16 20006
17 19994
18 19974
19 19963
20 20062

About Maria Faas

Maria Faas is a scholar working on Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Immunology, Molecular Biology and Pharmacology, having authored 24 papers that have together received 800 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Pregnancy and Medication Impact (9 papers), Reproductive System and Pregnancy (6 papers), Bone Metabolism and Diseases (3 papers), Immune Response and Inflammation (3 papers), Inflammatory mediators and NSAID effects (2 papers), Bone health and treatments (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Obstetrics and Gynecology (338 citations), Immunology (244 citations), Pediatrics, Perinatology and Child Health (180 citations), Orthopedics and Sports Medicine (44 citations) and Biochemistry (33 citations). Maria Faas has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include G. A. Schuiling, Julius F.W. Baller, Winston W. Bakker, C. Visscher, Gerhard Krönke, Georg Schett, Paul de Vos, Ian L. Sargent, Elizabeth A. Linton and W.W. Bakker. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Journal of Reproductive Immunology, Placenta, Journal of Dental Research and Journal of Developmental Origins of Health and Disease.

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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