Beate Grass

33 papers receiving 228 citations

Peers

Beate Grass
Comparison fields: 5 of 52
  • Pediatrics, Perinatology and Child Health 75
  • Pulmonary and Respiratory Medicine 67
  • Anesthesiology and Pain Medicine 11
  • Dermatology 12
  • Emergency Medicine 10
Replace Kamaljot S. Kaler with:
Kamaljot S. Kaler United States
So Young Kim South Korea
Yann Chaussy France
R. Pavelka Austria
Hyung Joon Kim South Korea
Riccardo Pizzolato Italy
Mark E. Roeser United States
Elena Lievore Italy
Şevket Ballı Türkiye
Joseph Davidson United Kingdom
Beate Grass relative to Kamaljot S. Kaler United States Kamaljot S. Kaler's profile →
Citations per field
00.5×
Kamaljot S. Kaler · 1×
Citations per year

Countries citing papers authored by Beate Grass

Since Specialization
Citations

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

Fields of papers citing papers by Beate Grass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200930
2 201922
3 201519
4 202017
5 201416
6 201913
7 202012
8 201911
9 201211
10 20158
11 20228
12 20198
13 20215
14 20235
15 20205
16 20234
17 20224
18 20213
19 20203
20 20233

About Beate Grass

Beate Grass is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Biomedical Engineering, Electrical and Electronic Engineering and Endocrine and Autonomic Systems, having authored 36 papers that have together received 230 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (11 papers), Neonatal Respiratory Health Research (9 papers), Intravenous Infusion Technology and Safety (7 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Neuroscience of respiration and sleep (3 papers), Respiratory Support and Mechanisms (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (75 citations), Pulmonary and Respiratory Medicine (67 citations), Anesthesiology and Pain Medicine (11 citations), Dermatology (12 citations) and Emergency Medicine (10 citations). Beate Grass has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Barbara Brotschi, Cornelia Hagmann, Markus Weiß, Beatrice Latal, Ulrike Held, Philipp K. Buehler, Marianne Schmid Daners, Mirko Meboldt, Felix Niggli and Beat W. Schäfer. Their work appears in journals such as Pediatric Anesthesia, Neonatology, Journal of Perinatal Medicine, Journal of Perinatology and Journal of Clinical Monitoring and Computing.

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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