Inge Brouns

52 papers receiving 2.1k citations

Peers

Inge Brouns
Comparison fields: 5 of 87
  • Physiology 286
  • Endocrine and Autonomic Systems 402
  • Sensory Systems 279
  • Pulmonary and Respiratory Medicine 758
  • Cellular and Molecular Neuroscience 219
Replace Donald G. Ferguson with:
Donald G. Ferguson United States
Tingxin Zhang China
Heidy Schmid‐Antomarchi France
Viktor Lukacs United States
Justin Ainscough United Kingdom
Eleazar Vega‐Saenz de Miera United States
Alicia Sedó United Kingdom
Yvonne N. Tallini United States
Hitoshi Onoue Japan
Nicola Thompson United Kingdom
Inge Brouns relative to Donald G. Ferguson United States Donald G. Ferguson's profile →
Citations per field
00.5×2×4×6×8.9×
Donald G. Ferguson · 1×
Citations per year

Countries citing papers authored by Inge Brouns

Since Specialization
Citations

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

Fields of papers citing papers by Inge Brouns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011427
2 2012141
3 2003136
4 1998111
5 2002110
6 200099
7 200689
8 200386
9 200285
10 200270
11 200865
12 200549
13 200848
14 201244
15 200443
16 200643
17 200641
18 200840
19 201132
20 200231

About Inge Brouns

Inge Brouns is a scholar working on Endocrine and Autonomic Systems, Sensory Systems, Pulmonary and Respiratory Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Respiratory and Cough-Related Research (25 papers), Neuroscience of respiration and sleep (24 papers), Ion Channels and Receptors (18 papers), Neuropeptides and Animal Physiology (9 papers), Adenosine and Purinergic Signaling (8 papers), Neonatal Respiratory Health Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Physiology (286 citations), Endocrine and Autonomic Systems (402 citations), Sensory Systems (279 citations), Pulmonary and Respiratory Medicine (758 citations) and Cellular and Molecular Neuroscience (219 citations). Inge Brouns has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Dirk Adriaensen, Jean‐Pierre Timmermans, Isabel Pintelon, Ian De Proost, Jeroen Van Genechten, Natalie Proost, Ji‐Ying Song, Anton J. M. Berns, Kate D. Sutherland and Geoffrey Burnstock. Their work appears in journals such as Advances in anatomy, embryology and cell biology, Histochemistry and Cell Biology, American Journal of Respiratory Cell and Molecular Biology, Cell and Tissue Research and The FASEB Journal.

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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