Tobias Schmidt
- Molecular Biology top 1%
- Immunology top 1%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Oncology top 5%
- Co-authors
- Torsten SchwedeVeit HornungFlorian KieferKonstantin ArnoldLorenza BordoliTiziano Gallo CassarinoStefan BienertGabriel Studer
- Topics
- interferon and immune responses (11 papers)Myofascial pain diagnosis and treatment (10 papers)Musculoskeletal pain and rehabilitation (9 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Tobias Schmidt
54 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 5.6k
- Immunology 2.4k
- Infectious Diseases 884
- Epidemiology 814
- Oncology 738
Countries citing papers authored by Tobias Schmidt
This map shows the geographic impact of Tobias Schmidt'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 Tobias Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Schmidt more than expected).
Fields of papers citing papers by Tobias Schmidt
This network shows the impact of papers produced by Tobias Schmidt. 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 Tobias Schmidt. The network helps show where Tobias Schmidt may publish in the future.
Co-authorship network of co-authors of Tobias Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Schmidt. A scholar is included among the top collaborators of Tobias Schmidt 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 Tobias Schmidt. Tobias Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 71 | |
| 9 | Human Monocytes Engage an Alternative Inflammasome Pathwaybreakdown → | 591 |
| 10 | 59 | |
| 11 | 153 | |
| 12 | SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary informationbreakdown → | 3800 |
| 13 | 100 | |
| 14 | 259 | |
| 15 | 199 | |
| 16 | 8 | |
| 17 | Cell intrinsic immunity spreads to bystander cells via the intercellular transfer of cGAMPbreakdown → | 503 |
| 18 | 136 | |
| 19 | 27 | |
| 20 | 16 |
About Tobias Schmidt
Tobias Schmidt is a scholar working on Cell Biology, Orthopedics and Sports Medicine and Immunology, having authored 55 papers that have together received 8.9k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), Myofascial pain diagnosis and treatment (10 papers) and Musculoskeletal pain and rehabilitation (9 papers). The work is most often cited by research in Immunology (2.4k citations), Molecular Biology (5.6k citations) and Infectious Diseases (884 citations). Tobias Schmidt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Torsten Schwede, Veit Hornung, Florian Kiefer, Konstantin Arnold, Lorenza Bordoli, Tiziano Gallo Cassarino, Stefan Bienert, Gabriel Studer, Marco Biasini and Martino Bertoni. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.