Daniel S. Schmidt
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- Pneumonia and Respiratory Infections 6
- Influenza Virus Research Studies 2
-
- Bacterial Infections and Vaccines 6
- Co-authors
- David S. Stephens (2 shared papers)Rafi Ahmed (2 shared papers)Sandra Romero‐Steiner (6 shared papers)George M. Carlone (5 shared papers)Nadine Rouphael (2 shared papers)Scott E. Johnson (3 shared papers)Gowrisankar Rajam (2 shared papers)Sai Duraisingham (1 shared paper)
- Journals
- Clinical and Vaccine Immunology (3 papers)Journal of Immunological Methods (2 papers)Vaccine (2 papers)Journal of Virology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Daniel S. Schmidt
14 papers receiving 862 citations
Daniel S. Schmidt's Hit Papers
Peers
Comparison fields: 5 of 83
- Virology 118
- Immunology 249
- Infectious Diseases 212
- Microbiology 72
- Epidemiology 276
Countries citing papers authored by Daniel S. Schmidt
This map shows the geographic impact of Daniel S. 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 Daniel S. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Schmidt more than expected).
Fields of papers citing papers by Daniel S. Schmidt
This network shows the impact of papers produced by Daniel S. 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 Daniel S. Schmidt. The network helps show where Daniel S. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Schmidt, 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 | Molecular signatures of antibody responses derived from a systems biology study of five human vaccines Hit paper breakdown → | 2013 | 487 |
| 2 | 2004 | 108 | |
| 3 | 1993 | 67 | |
| 4 | 2008 | 64 | |
| 5 | 2011 | 46 | |
| 6 | 2004 | 43 | |
| 7 | 1998 | 13 | |
| 8 | 2010 | 12 | |
| 9 | 2012 | 10 | |
| 10 | 2015 | 9 | |
| 11 | 2016 | 6 | |
| 12 | 2006 | 6 | |
| 13 | 1994 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 0 | |
| 16 | 2018 | 0 | |
| 17 | 2018 | 0 |
About Daniel S. Schmidt
Daniel S. Schmidt is a scholar working on Epidemiology, Microbiology, Molecular Biology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 881 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (6 papers), Pneumonia and Respiratory Infections (6 papers), Bacillus and Francisella bacterial research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Fluid Dynamics and Mixing (2 papers), Influenza Virus Research Studies (2 papers), Poxvirus research and outbreaks (2 papers) and Metal and Thin Film Mechanics (1 paper). The work is most often cited by research in Virology (118 citations), Immunology (249 citations), Infectious Diseases (212 citations), Microbiology (72 citations) and Epidemiology (276 citations). Daniel S. Schmidt has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include David S. Stephens, Rafi Ahmed, Sandra Romero‐Steiner, George M. Carlone, Nadine Rouphael, Scott E. Johnson, Gowrisankar Rajam, Sai Duraisingham, Helder I. Nakaya and Shuzhao Li. Their work appears in journals such as Clinical and Vaccine Immunology, Journal of Immunological Methods, Vaccine, Journal of Virology and The Journal of Infectious Diseases.
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.