Sonja Schmid
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- RNA Interference and Gene Delivery 3
- RNA regulation and disease 3
- Immunology 10
- interferon and immune responses 10
- Co-authors
- Benjamin R. tenOever (13 shared papers)David Sachs (6 shared papers)Adolfo García‐Sastre (5 shared papers)Jaehee V. Shim (5 shared papers)Ryan A. Langlois (2 shared papers)Markus Mordstein (1 shared paper)Georg Kochs (1 shared paper)Jasmine T. Perez (1 shared paper)
- Journals
- Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Virology (2 papers)Cell Host & Microbe (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Sonja Schmid
21 papers receiving 788 citations
Peers
Comparison fields: 5 of 61
- Immunology 383
- Infectious Diseases 154
- Virology 36
- Cancer Research 106
- Epidemiology 210
Countries citing papers authored by Sonja Schmid
This map shows the geographic impact of Sonja 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 Sonja Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Schmid more than expected).
Fields of papers citing papers by Sonja Schmid
This network shows the impact of papers produced by Sonja 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 Sonja Schmid. The network helps show where Sonja Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 140 | |
| 2 | 2010 | 101 | |
| 3 | 2011 | 97 | |
| 4 | 2013 | 81 | |
| 5 | 2014 | 59 | |
| 6 | 2014 | 59 | |
| 7 | 2017 | 47 | |
| 8 | 2013 | 31 | |
| 9 | 2015 | 30 | |
| 10 | 2009 | 29 | |
| 11 | 2011 | 28 | |
| 12 | 2007 | 25 | |
| 13 | 2013 | 24 | |
| 14 | 2013 | 16 | |
| 15 | 2004 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2009 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2015 | 2 | |
| 20 | 2018 | 2 |
About Sonja Schmid
Sonja Schmid is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Oncology, having authored 21 papers that have together received 794 indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), Virology and Viral Diseases (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), RNA Interference and Gene Delivery (3 papers), Viral Infections and Immunology Research (3 papers), RNA regulation and disease (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Immunology (383 citations), Infectious Diseases (154 citations), Virology (36 citations), Cancer Research (106 citations) and Epidemiology (210 citations). Sonja Schmid has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Benjamin R. tenOever, David Sachs, Adolfo García‐Sastre, Jaehee V. Shim, Ryan A. Langlois, Markus Mordstein, Georg Kochs, Jasmine T. Perez, Mark A. Chua and Lauren C. Aguado. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Journal of Virology, Cell Host & Microbe and Journal of Biological Chemistry.
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.