Bianca Schaub

6.5k total citations
110 papers, 3.4k citations indexed

About

Bianca Schaub is a scholar working on Physiology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bianca Schaub has authored 110 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Physiology, 54 papers in Immunology and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bianca Schaub's work include Asthma and respiratory diseases (78 papers), IL-33, ST2, and ILC Pathways (37 papers) and Pediatric health and respiratory diseases (27 papers). Bianca Schaub is often cited by papers focused on Asthma and respiratory diseases (78 papers), IL-33, ST2, and ILC Pathways (37 papers) and Pediatric health and respiratory diseases (27 papers). Bianca Schaub collaborates with scholars based in Germany, United States and Switzerland. Bianca Schaub's co-authors include Erika von Mutius, Roger Lauener, Sabina Illi, Anna Lluis, Diana Raedler, Juha Pekkanen, Isolde Schleich, Michael Kabesch, Patricia W. Finn and Sven Olek and has published in prestigious journals such as The Lancet, Nature Medicine and Nature Communications.

In The Last Decade

Bianca Schaub

102 papers receiving 3.3k citations

Peers

Bianca Schaub
Comparison fields: 5 of 126
  • Physiology 1.8k
  • Immunology 1.1k
  • Pulmonary and Respiratory Medicine 790
  • Immunology and Allergy 688
  • Emergency Medical Services 538
Replace Petra Ina Pfefferle with:
Petra Ina Pfefferle Germany
Dominique Bullens Belgium
Marco Waser Switzerland
Susanne Krauss‐Etschmann Germany
Debra A. Stern United States
Agustin Calatroni United States
Waltraud Eder Austria
Jaring S. van der Zee Netherlands
Albrecht Bufe Germany
Herman J. Neijens Netherlands
Petra Ina Pfefferle Germany View profile →
Citations per field, relative to Bianca Schaub
Bianca Schaub · 1×
Citations per year, relative to Bianca Schaub
Bianca Schaub · 1×

Countries citing papers authored by Bianca Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Schaub

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Schaub. A scholar is included among the top collaborators of Bianca Schaub 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 Bianca Schaub. Bianca Schaub 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 1
2 2
3 0
4 2
5 7
6 2
7 1
8 5
9 13
10 11
11 17
12 7
13 10
14 217
15 101
16 16
17 23
18 2
19 41
20 24

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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