Miro E. Raeber

3.2k total citations · 2 hit papers
23 papers, 1.5k citations indexed

About

Miro E. Raeber is a scholar working on Immunology, Infectious Diseases and Neurology. According to data from OpenAlex, Miro E. Raeber has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 9 papers in Infectious Diseases and 7 papers in Neurology. Recurrent topics in Miro E. Raeber's work include Immune Cell Function and Interaction (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Immunotherapy and Immune Responses (8 papers). Miro E. Raeber is often cited by papers focused on Immune Cell Function and Interaction (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Immunotherapy and Immune Responses (8 papers). Miro E. Raeber collaborates with scholars based in Switzerland, Germany and United States. Miro E. Raeber's co-authors include Onur Boyman, Yves Zurbuchen, Daniela Impellizzieri, Dilara Şahin, Ufuk Karakus, Jakob Nilsson, Sarah Adamo, Carlo Cervia, Ignacio Moraga and Aron M. Levin and has published in prestigious journals such as Nature, Nature Communications and Immunity.

In The Last Decade

Miro E. Raeber

23 papers receiving 1.5k citations

Hit Papers

Immunoglobulin signature predicts risk of post-acute COVI... 2022 2026 2023 2024 2022 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miro E. Raeber Switzerland 18 891 488 353 284 253 23 1.5k
Serena Chee United Kingdom 10 669 0.8× 522 1.1× 368 1.0× 260 0.9× 172 0.7× 14 1.4k
S Tagawa Japan 16 901 1.0× 415 0.9× 253 0.7× 602 2.1× 63 0.2× 47 1.9k
Daniel Smrž Czechia 15 491 0.6× 162 0.3× 216 0.6× 348 1.2× 89 0.4× 46 1.1k
Jingying Zhou China 16 308 0.3× 281 0.6× 220 0.6× 303 1.1× 31 0.1× 51 1.0k
Elham Masoumi Iran 13 239 0.3× 291 0.6× 97 0.3× 289 1.0× 58 0.2× 26 701
Alessio Mazzoni Italy 19 500 0.6× 123 0.3× 377 1.1× 236 0.8× 147 0.6× 51 1.2k
James Thaventhiran United Kingdom 13 488 0.5× 156 0.3× 146 0.4× 255 0.9× 64 0.3× 27 863
Antonella Cerino Italy 28 542 0.6× 208 0.4× 280 0.8× 362 1.3× 100 0.4× 58 2.4k
Cristina Tresoldi Italy 16 184 0.2× 101 0.2× 387 1.1× 178 0.6× 138 0.5× 35 887
Ronald Q. Warren United States 12 190 0.2× 602 1.2× 204 0.6× 732 2.6× 106 0.4× 18 1.4k

Countries citing papers authored by Miro E. Raeber

Since Specialization
Citations

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

Fields of papers citing papers by Miro E. Raeber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miro E. Raeber. 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 Miro E. Raeber. The network helps show where Miro E. Raeber may publish in the future.

Co-authorship network of co-authors of Miro E. Raeber

This figure shows the co-authorship network connecting the top 25 collaborators of Miro E. Raeber. A scholar is included among the top collaborators of Miro E. Raeber 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 Miro E. Raeber. Miro E. Raeber 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
1.
Raeber, Miro E., Yves Zurbuchen, Nannan Guo, et al.. (2024). Interleukin-2 immunotherapy reveals human regulatory T cell subsets with distinct functional and tissue-homing characteristics. Immunity. 57(9). 2232–2250.e10. 20 indexed citations
2.
Zurbuchen, Yves, Patrick Taeschler, Sarah Adamo, et al.. (2023). Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2. Nature Immunology. 24(6). 955–965. 20 indexed citations
3.
Zurbuchen, Yves, Patrick Taeschler, Sarah Adamo, et al.. (2023). Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations
4.
Raeber, Miro E., Dilara Şahin, Ufuk Karakus, & Onur Boyman. (2023). A systematic review of interleukin-2-based immunotherapies in clinical trials for cancer and autoimmune diseases. EBioMedicine. 90. 104539–104539. 104 indexed citations breakdown →
5.
Schuurmans, Macé M., et al.. (2023). Adaptive Immunosuppression in Lung Transplant Recipients Applying Complementary Biomarkers: The Zurich Protocol. Medicina. 59(3). 488–488. 2 indexed citations
6.
Taeschler, Patrick, Carlo Cervia, Yves Zurbuchen, et al.. (2022). Autoantibodies in COVID‐19 correlate with antiviral humoral responses and distinct immune signatures. Allergy. 77(8). 2415–2430. 38 indexed citations
7.
Raeber, Miro E., Dilara Şahin, & Onur Boyman. (2022). Interleukin-2–based therapies in cancer. Science Translational Medicine. 14(670). eabo5409–eabo5409. 50 indexed citations
8.
Cervia, Carlo, Yves Zurbuchen, Patrick Taeschler, et al.. (2022). Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome. Nature Communications. 13(1). 446–446. 139 indexed citations breakdown →
9.
Adamo, Sarah, Yves Zurbuchen, Carlo Cervia, et al.. (2021). Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection. Nature. 602(7895). 148–155. 88 indexed citations
10.
Cervia, Carlo, Yves Zurbuchen, Patrick Taeschler, et al.. (2021). Immunoglobulin Signature Predicts Risk of Post-Acute Covid-19 Syndrome. SSRN Electronic Journal. 14 indexed citations
11.
Adamo, Sarah, Stéphane Chevrier, Carlo Cervia, et al.. (2021). Profound dysregulation of T cell homeostasis and function in patients with severe COVID‐19. Allergy. 76(9). 2866–2881. 53 indexed citations
12.
Schorer, Michelle, Kung‐Chi Kao, Alexander Yermanos, et al.. (2020). Rapid expansion of Treg cells protects from collateral colitis following a viral trigger. Nature Communications. 11(1). 1522–1522. 22 indexed citations
13.
Raeber, Miro E., et al.. (2020). Interleukin-2 signals converge in a lymphoid–dendritic cell pathway that promotes anticancer immunity. Science Translational Medicine. 12(561). 63 indexed citations
14.
Chevrier, Stéphane, Yves Zurbuchen, Carlo Cervia, et al.. (2020). A distinct innate immune signature marks progression from mild to severe COVID-19. Cell Reports Medicine. 2(1). 100166–100166. 83 indexed citations
15.
Impellizzieri, Daniela, Miro E. Raeber, Cecilie Egholm, et al.. (2019). IL-4 receptor engagement in human neutrophils impairs their migration and extracellular trap formation. Journal of Allergy and Clinical Immunology. 144(1). 267–279.e4. 70 indexed citations
16.
Castro, Wilson, Sonia T. Chelbi, Suzanne P. M. Welten, et al.. (2018). The transcription factor Rfx7 limits metabolism of NK cells and promotes their maintenance and immunity. Nature Immunology. 19(8). 809–820. 42 indexed citations
17.
Raeber, Miro E., Yves Zurbuchen, Daniela Impellizzieri, & Onur Boyman. (2018). The role of cytokines in T‐cell memory in health and disease. Immunological Reviews. 283(1). 176–193. 163 indexed citations
18.
Boyman, Onur, Antonios G.A. Kolios, & Miro E. Raeber. (2015). Modulation of T cell responses by IL-2 and IL-2 complexes. PubMed. 33(4 Suppl 92). S54–7. 39 indexed citations
19.
Rosalia, Rodney Alexander, Natalia Arenas-Ramirez, Grégory Bouchaud, Miro E. Raeber, & Onur Boyman. (2014). Use of enhanced interleukin-2 formulations for improved immunotherapy against cancer. Current Opinion in Chemical Biology. 23. 39–46. 39 indexed citations
20.
Levin, Aron M., D.L. Bates, Aaron M. Ring, et al.. (2012). Exploiting a natural conformational switch to engineer an interleukin-2 ‘superkine’. Nature. 484(7395). 529–533. 415 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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