Maja Weber

407 citations
16 papers · 265 · h-index 10

Impact in

Papers in

    • Reproductive System and Pregnancy 11
    • Epigenetics and DNA Methylation 3
    • Extracellular vesicles in disease 2

Maja Weber

16 papers receiving 262 citations

Peers

Maja Weber
Comparison fields: 5 of 47
  • Obstetrics and Gynecology 145
  • Reproductive Medicine 81
  • Immunology 172
  • Pediatrics, Perinatology and Child Health 45
  • Public Health, Environmental and Occupational Health 54
Replace J.S. Fitzgerald with:
J.S. Fitzgerald Germany
Katarzyna Rainczuk Australia
Terrence D. Lewis United States
Sophie Rier Netherlands
Ritsuo Honda Japan
Petra Pateisky Austria
Grigorios Grimbizis Greece
Meaghan J. Griffiths Australia
Ioannis Dedes Switzerland
Maja Weber relative to J.S. Fitzgerald Germany J.S. Fitzgerald's profile →
Citations per field
00.5×3.5×
J.S. Fitzgerald · 1×
Citations per year

Countries citing papers authored by Maja Weber

Since Specialization
Citations

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

Fields of papers citing papers by Maja Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201358
2 201746
3 202036
4 201721
5 201521
6 201717
7 201317
8 201615
9 202014
10 201714
11 20231
12 20161
13 20161
14 20161
15 20161
16 20161

About Maja Weber

Maja Weber is a scholar working on Immunology, Molecular Biology, Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 265 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (11 papers), Endometriosis Research and Treatment (4 papers), Pregnancy and preeclampsia studies (4 papers), Prenatal Screening and Diagnostics (3 papers), Epigenetics and DNA Methylation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Extracellular vesicles in disease (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (145 citations), Reproductive Medicine (81 citations), Immunology (172 citations), Pediatrics, Perinatology and Child Health (45 citations) and Public Health, Environmental and Occupational Health (54 citations). Maja Weber has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Udo R. Markert, E Schleußner, Justine S. Fitzgerald, Bettina Tóth, Kilian Vomstein, T. Strowitzki, Wittaya Chaiwangyen, Diana M. Morales‐Prieto, Ruben‐J. Kuon and Júlia Héger. Their work appears in journals such as Placenta, Journal of Reproductive Immunology, American Journal of Reproductive Immunology, Archivum Immunologiae et Therapiae Experimentalis 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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