Danielle Maue

17 papers receiving 314 citations

Peers

Danielle Maue
Comparison fields: 5 of 77
  • Sensory Systems 66
  • Complementary and alternative medicine 42
  • Food Science 82
  • Critical Care and Intensive Care Medicine 15
  • Anesthesiology and Pain Medicine 16
Replace E.A. Laude with:
E.A. Laude United Kingdom
Thierry Cachet Switzerland
Mohsen Taghizadeh Iran
Pai‐Feng Kao Taiwan
Jessie Hawkins United States
Xian Jiang China
Andrzej Wasilewski Poland
Wankupar Wankhar India
Fernando Mesta Mexico
Cyrus Rangan United States
Danielle Maue relative to E.A. Laude United Kingdom E.A. Laude's profile →
Citations per field
00.5×5.3×
E.A. Laude · 1×
Citations per year

Countries citing papers authored by Danielle Maue

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Maue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002148
2 200276
3 201718
4 201916
5 201012
6 202311
7 201911
8 20238
9 20246
10 20215
11 20225
12 20234
13 20233
14 20223
15 20231
16 20231
17 20231
18
Pediatric asthma severity score is associated with critical care interventions
20170
19 20250
20 20230

About Danielle Maue

Danielle Maue is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Surgery, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 329 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (7 papers), Asthma and respiratory diseases (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Anesthesia and Sedative Agents (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Liver Disease and Transplantation (3 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Sensory Systems (66 citations), Complementary and alternative medicine (42 citations), Food Science (82 citations), Critical Care and Intensive Care Medicine (15 citations) and Anesthesiology and Pain Medicine (16 citations). Danielle Maue has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gertrud Haeseler, Reinhard Dengler, M. Leuwer, Julian Großkreutz, S. Piepenbrock, Johannes Bufler, Courtney M. Rowan, Samer Abu‐Sultaneh, Alvaro J. Tori and Michael J. Hobson. Their work appears in journals such as Critical Care Medicine, Pediatric Critical Care Medicine, Respiratory Care, European Journal of Anaesthesiology and Pediatric Pulmonology.

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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