Michael Caldera
Impact in
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- Immunodeficiency and Autoimmune Disorders
- T-cell and B-cell Immunology
- Immune cells in cancer
- interferon and immune responses
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- Computational Drug Discovery Methods
Papers in
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- T-cell and B-cell Immunology 2
- Immunodeficiency and Autoimmune Disorders 2
- interferon and immune responses 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Jörg Menche (9 shared papers)Felix Müller (2 shared papers)Stefan Kubicek (4 shared papers)Charles-Hugues Lardeau (2 shared papers)Miriam M. Unterlass (3 shared papers)Cyrill Brunner (1 shared paper)Björn Walse (1 shared paper)Peter Májek (2 shared papers)
- Journals
- ChemSusChem (2 papers)Cell Reports (2 papers)Nature Communications (1 paper)Current Opinion in Systems Biology (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- AustriaFranceSwitzerland
In The Last Decade
Michael Caldera
17 papers receiving 552 citations
Peers
Comparison fields: 5 of 78
- Immunology 128
- Computational Theory and Mathematics 67
- Biological Psychiatry 4
- Molecular Biology 163
- Rheumatology 29
Countries citing papers authored by Michael Caldera
This map shows the geographic impact of Michael Caldera'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 Michael Caldera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Caldera more than expected).
Fields of papers citing papers by Michael Caldera
This network shows the impact of papers produced by Michael Caldera. 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 Michael Caldera. The network helps show where Michael Caldera may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Caldera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2017 | 77 | |
| 3 | 2018 | 55 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 41 | |
| 6 | 2017 | 39 | |
| 7 | 2019 | 38 | |
| 8 | 2020 | 31 | |
| 9 | 2015 | 30 | |
| 10 | 2020 | 25 | |
| 11 | 2019 | 21 | |
| 12 | 2023 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 |
About Michael Caldera
Michael Caldera is a scholar working on Immunology, Computational Theory and Mathematics, Epidemiology, Molecular Biology and Organic Chemistry, having authored 17 papers that have together received 563 indexed citations. Recurring topics across this work include Synthesis and Biological Evaluation (2 papers), T-cell and B-cell Immunology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Bioinformatics and Genomic Networks (2 papers), interferon and immune responses (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Computational Drug Discovery Methods (2 papers) and Synthesis and properties of polymers (1 paper). The work is most often cited by research in Immunology (128 citations), Computational Theory and Mathematics (67 citations), Biological Psychiatry (4 citations), Molecular Biology (163 citations) and Rheumatology (29 citations). Michael Caldera has collaborated with scholars based in Austria, France and Switzerland. Frequent co-authors include Jörg Menche, Felix Müller, Stefan Kubicek, Charles-Hugues Lardeau, Miriam M. Unterlass, Cyrill Brunner, Björn Walse, Peter Májek, Gisbert Schneider and Petra Schneider. Their work appears in journals such as ChemSusChem, Cell Reports, Nature Communications, Current Opinion in Systems Biology and New England Journal of Medicine.
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.