Daniel Brigger

1.1k total citations
17 papers, 723 citations indexed

About

Daniel Brigger is a scholar working on Immunology, Epidemiology and Physiology. According to data from OpenAlex, Daniel Brigger has authored 17 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Daniel Brigger's work include Autophagy in Disease and Therapy (7 papers), Mast cells and histamine (5 papers) and Food Allergy and Anaphylaxis Research (4 papers). Daniel Brigger is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Mast cells and histamine (5 papers) and Food Allergy and Anaphylaxis Research (4 papers). Daniel Brigger collaborates with scholars based in Switzerland, United States and Germany. Daniel Brigger's co-authors include Mario P. Tschan, Alexander Eggel, Tassula Proikas‐Cezanne, Theodore S. Jardetzky, Svetlana S. Tarchevskaya, P. Gasser, Daniela Bakula, Tancred Frickey, Horst Robenek and Pascal Guntern and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Journal of Allergy and Clinical Immunology.

In The Last Decade

Daniel Brigger

15 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Brigger Switzerland 14 249 201 197 197 160 17 723
Taras Lyubchenko United States 13 40 0.2× 137 0.7× 67 0.3× 289 1.5× 64 0.4× 33 596
Masanao Kyuuma Japan 11 115 0.5× 559 2.8× 52 0.3× 138 0.7× 18 0.1× 12 833
Hélène Gary‐Gouy France 15 295 1.2× 400 2.0× 30 0.2× 435 2.2× 27 0.2× 19 1.1k
Karim Dib United Kingdom 16 46 0.2× 428 2.1× 76 0.4× 207 1.1× 165 1.0× 36 758
Yoshiyuki Kanai Japan 17 49 0.2× 312 1.6× 58 0.3× 214 1.1× 32 0.2× 33 752
Daocheng Zhu United States 16 41 0.2× 270 1.3× 291 1.5× 622 3.2× 422 2.6× 37 1.1k
Mary C. Stevenson United States 12 135 0.5× 395 2.0× 49 0.2× 105 0.5× 144 0.9× 14 869
Anke Zobywalski Germany 6 94 0.4× 445 2.2× 154 0.8× 700 3.6× 27 0.2× 6 1.1k
Lalit Kumar United States 16 28 0.1× 167 0.8× 255 1.3× 445 2.3× 367 2.3× 19 979
Valentino Parravicini United States 9 26 0.1× 449 2.2× 158 0.8× 605 3.1× 122 0.8× 11 925

Countries citing papers authored by Daniel Brigger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Brigger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Brigger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Brigger. A scholar is included among the top collaborators of Daniel Brigger 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 Daniel Brigger. Daniel Brigger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Brigger, Daniel, et al.. (2025). High-affinity omalizumab variants with optimized disruptive potency prevent anaphylaxis in vivo. Journal of Allergy and Clinical Immunology. 156(5). 1290–1302.
2.
Jaeger-Ruckstuhl, Carla A., Stefan Förster, Daniel Brigger, et al.. (2025). IL-33/ST2 signaling in ILC2s drives exhaustion and myeloid skewing of HSCs in response to hematopoietic stress and aging. iScience. 28(5). 112378–112378.
3.
Guntern, Pascal, Luke F. Pennington, Daniel Brigger, Theodore S. Jardetzky, & Alexander Eggel. (2024). The Disruptive Anti-IgE Molecule KIH_E07_79 Rapidly Desensitizes Allergic Effector Cells and Suppresses IgE Production in B-cells. Journal of Allergy and Clinical Immunology. 153(2). AB63–AB63. 1 indexed citations
4.
Horn, Michael P., Hulda R. Jónsdóttir, Daniel Brigger, et al.. (2022). Serological testing for SARS‐CoV‐2 antibodies in clinical practice: A comparative diagnostic accuracy study. Allergy. 77(7). 2090–2103. 13 indexed citations
5.
Pennington, Luke F., P. Gasser, Daniel Brigger, et al.. (2021). Structure-guided design of ultrapotent disruptive IgE inhibitors to rapidly terminate acute allergic reactions. Journal of Allergy and Clinical Immunology. 148(4). 1049–1060. 25 indexed citations
6.
Brigger, Daniel, Daniel Bachmann, Arthur Helbling, et al.. (2021). A novel functional mast cell assay for the detection of allergies. Journal of Allergy and Clinical Immunology. 149(3). 1018–1030.e11. 21 indexed citations
7.
Gasser, P., Svetlana S. Tarchevskaya, Pascal Guntern, et al.. (2020). The mechanistic and functional profile of the therapeutic anti-IgE antibody ligelizumab differs from omalizumab. Nature Communications. 11(1). 165–165. 134 indexed citations
8.
Brigger, Daniel, et al.. (2018). IL-3 but not monomeric IgE regulates FcεRI levels and cell survival in primary human basophils. Cell Death and Disease. 9(5). 510–510. 18 indexed citations
9.
Bakula, Daniela, Amelie J. Müller, Theresia Zuleger, et al.. (2017). WIPI3 and WIPI4 β-propellers are scaffolds for LKB1-AMPK-TSC signalling circuits in the control of autophagy. Nature Communications. 8(1). 15637–15637. 156 indexed citations
10.
Pennington, Luke F., Svetlana S. Tarchevskaya, Daniel Brigger, et al.. (2016). Structural basis of omalizumab therapy and omalizumab-mediated IgE exchange. Nature Communications. 7(1). 11610–11610. 99 indexed citations
11.
Gasser, P., et al.. (2016). A novel bispecific DARPin targeting FcγRIIB and FcεRI‐bound IgE inhibits allergic responses. Allergy. 72(8). 1174–1183. 42 indexed citations
12.
Brigger, Daniel, Anna M. Schläfli, Enrico Garattini, & Mario P. Tschan. (2015). Activation of RARα induces autophagy in SKBR3 breast cancer cells and depletion of key autophagy genes enhances ATRA toxicity. Cell Death and Disease. 6(8). e1861–e1861. 27 indexed citations
13.
Brigger, Daniel, Tassula Proikas‐Cezanne, & Mario P. Tschan. (2014). WIPI-dependent autophagy during neutrophil differentiation of NB4 acute promyelocytic leukemia cells. Cell Death and Disease. 5(7). e1315–e1315. 39 indexed citations
14.
Haimovici, A, Daniel Brigger, Bruce E. Torbett, Martin F. Fey, & Mario P. Tschan. (2014). Induction of the autophagy-associated gene MAP1S via PU.1 supports APL differentiation. Leukemia Research. 38(9). 1041–1047. 17 indexed citations
15.
Pfisterer, Simon G., Daniela Bakula, Tancred Frickey, et al.. (2014). Lipid droplet and early autophagosomal membrane targeting of Atg2A and Atg14L in human tumor cells. Journal of Lipid Research. 55(7). 1267–1278. 51 indexed citations
16.
Bensadoun, Paul, Élodie Richard, Anna M. Schläfli, et al.. (2014). p62/SQSTM1 upregulation constitutes a survival mechanism that occurs during granulocytic differentiation of acute myeloid leukemia cells. Cell Death and Differentiation. 21(12). 1852–1861. 55 indexed citations
17.
Brigger, Daniel, Bruce E. Torbett, Joy Chen, Martin F. Fey, & Mario P. Tschan. (2013). Inhibition of GATE-16 attenuates ATRA-induced neutrophil differentiation of APL cells and interferes with autophagosome formation. Biochemical and Biophysical Research Communications. 438(2). 283–288. 25 indexed citations

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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