Tania Maes

5.5k total citations
87 papers, 4.0k citations indexed

About

Tania Maes is a scholar working on Physiology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tania Maes has authored 87 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Physiology, 37 papers in Immunology and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tania Maes's work include Asthma and respiratory diseases (43 papers), IL-33, ST2, and ILC Pathways (27 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers). Tania Maes is often cited by papers focused on Asthma and respiratory diseases (43 papers), IL-33, ST2, and ILC Pathways (27 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers). Tania Maes collaborates with scholars based in Belgium, Netherlands and United Kingdom. Tania Maes's co-authors include Guy Joos, Guy Brusselle, Ken R. Bracke, Kurt G. Tournoy, Sharen Provoost, A. I. D'hulst, Ingel Demedts, Katrien Moerloose, Irene H. Heijink and Mirjam P. Roffel and has published in prestigious journals such as Nature Medicine, Nano Letters and The Journal of Immunology.

In The Last Decade

Tania Maes

85 papers receiving 3.9k citations

Peers

Tania Maes
Comparison fields: 5 of 117
  • Physiology 1.7k
  • Immunology 1.4k
  • Pulmonary and Respiratory Medicine 1.4k
  • Molecular Biology 774
  • Health, Toxicology and Mutagenesis 479
Replace Machteld N. Hylkema with:
Machteld N. Hylkema Netherlands
Shau-Ku Huang United States
Sarah M. Puddicombe United Kingdom
Simonetta Baraldo Italy
Jay C. Horvat Australia
Dieudonnée Togbe France
Kurt G. Tournoy Belgium
Annette T. Hastie United States
Peisong Gao United States
Iris F. Ueki United States
Machteld N. Hylkema Netherlands View profile →
Citations per field, relative to Tania Maes
Tania Maes · 1×
Citations per year, relative to Tania Maes
Tania Maes · 1×

Countries citing papers authored by Tania Maes

Since Specialization
Citations

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

Fields of papers citing papers by Tania Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tania Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Tania Maes. A scholar is included among the top collaborators of Tania Maes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tania Maes. Tania Maes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 23
3 9
4 3
5 113
6 26
7 62
8
The IL-33/ST2 axis is crucial in type 2 airway responses induced by the Staphylococcus aureus protease SpID
7
9 99
10 18
11 14
12 106
13 4
14 46
15 30
16 40
17 196
18 80
19 124
20 8

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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