Ute Knoll

547 citations
12 papers · 167 · h-index 7

Impact in

Papers in

Ute Knoll

12 papers receiving 138 citations

Peers

Ute Knoll
Comparison fields: 5 of 46
  • Genetics 94
  • Pediatrics, Perinatology and Child Health 57
  • Genetics 15
  • Cell Biology 18
  • Developmental Biology 2
Replace Ann‐Leslie Zaslav with:
Ann‐Leslie Zaslav United States
Bai-Lin Wu United States
Anne Bazin France
Anne-Marie Van Der Kevie-Kersemaekers Netherlands
Sally Martell Canada
Myriam Châabouni Tunisia
Elham Al Mardawi Saudi Arabia
Michelle Steinraths Canada
Hélène Moirot France
Sherly Pardo Puerto Rico
Ute Knoll relative to Ann‐Leslie Zaslav United States Ann‐Leslie Zaslav's profile →
Citations per field
00.5×4.3×
Ann‐Leslie Zaslav · 1×
Citations per year

Countries citing papers authored by Ute Knoll

Since Specialization
Citations

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

Fields of papers citing papers by Ute Knoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201166
2 201423
3 200321
4 200914
5 200413
6 201011
7 200710
8 20104
9
The potential of first trimester anomaly scan and first trimester fetal echocardiography as screening procedures in a medium risk population
20052
10 20061
11 20191
12 20061

About Ute Knoll

Ute Knoll is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Surgery, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 167 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (10 papers), Fetal and Pediatric Neurological Disorders (4 papers), Congenital Anomalies and Fetal Surgery (3 papers), Parvovirus B19 Infection Studies (2 papers), Urological Disorders and Treatments (2 papers), Connective tissue disorders research (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Genetics (94 citations), Pediatrics, Perinatology and Child Health (57 citations), Genetics (15 citations), Cell Biology (18 citations) and Developmental Biology (2 citations). Ute Knoll has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Rolf Becker, Rolf‐Dieter Wegner, Michael Entezami, Markus Stümm, Ekkehart Lausch, Mohandas Nair, Jürgen W. Spranger, Hanka Venselaar, Joris A. Veltman and Han G. Brunner. Their work appears in journals such as Prenatal Diagnosis, Ultrasound in Obstetrics and Gynecology, The American Journal of Human Genetics, Fetal Diagnosis and Therapy and Ultraschall in der Medizin - European Journal of Ultrasound.

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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