Daniela Schmid
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Immune Cell Function and Interaction 2
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- Herpesvirus Infections and Treatments 3
- Cytomegalovirus and herpesvirus research 2
- Virology and Viral Diseases 1
- Co-authors
- Christina Hartl (2 shared papers)Michael S. Goldberg (2 shared papers)Chun Gwon Park (2 shared papers)Nancy H. Ruddle (2 shared papers)Hye‐Jung Kim (1 shared paper)J P Tite (1 shared paper)Nikita Subedi (1 shared paper)Adam N.R. Cartwright (1 shared paper)
- Journals
- The Journal of Infectious Diseases (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)Nature Communications (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Daniela Schmid
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Immunology 502
- Oncology 284
- Biomaterials 146
- Virology 35
- Nutrition and Dietetics 111
Countries citing papers authored by Daniela Schmid
This map shows the geographic impact of Daniela Schmid'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 Daniela Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schmid more than expected).
Fields of papers citing papers by Daniela Schmid
This network shows the impact of papers produced by Daniela Schmid. 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 Daniela Schmid. The network helps show where Daniela Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schmid, 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 | 2017 | 382 | |
| 2 | 2018 | 264 | |
| 3 | 1986 | 126 | |
| 4 | 2008 | 94 | |
| 5 | 2013 | 74 | |
| 6 | 2013 | 61 | |
| 7 | 2014 | 31 | |
| 8 | 1994 | 23 | |
| 9 | 1999 | 21 | |
| 10 | 2004 | 19 | |
| 11 | 1985 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2024 | 12 | |
| 14 | 1992 | 6 | |
| 15 | 1990 | 2 | |
| 16 | Methodenbeschreibung für die Schätzung von epidemiologischen Parametern des COVID19 Ausbruchs, Österreich | 2020 | 1 |
About Daniela Schmid
Daniela Schmid is a scholar working on Immunology, Epidemiology, Oncology, Virology and Nutrition and Dietetics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (3 papers), Fatty Acid Research and Health (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (2 papers), DNA Repair Mechanisms (1 paper), Radiation Therapy and Dosimetry (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Immunology (502 citations), Oncology (284 citations), Biomaterials (146 citations), Virology (35 citations) and Nutrition and Dietetics (111 citations). Daniela Schmid has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Christina Hartl, Michael S. Goldberg, Chun Gwon Park, Nancy H. Ruddle, Hye‐Jung Kim, J P Tite, Nikita Subedi, Adam N.R. Cartwright, Yiran Zheng and Regina Bou-Puerto. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Clinical Oncology, Clinical Cancer Research, Nature Communications and Pediatric 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.