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
- Rafi Ahmed (2 shared papers)David S. Stephens (2 shared papers)Sandra Romero‐Steiner (6 shared papers)George M. Carlone (5 shared papers)Nadine Rouphael (2 shared papers)Scott Presnell (1 shared paper)Gowrisankar Rajam (2 shared papers)A. Karolina Palucka (1 shared paper)
- Journals
- Clinical and Vaccine Immunology (3 papers)Journal of Immunological Methods (2 papers)Vaccine (2 papers)The Journal of Infectious Diseases (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesMexicoKenya
In The Last Decade
Daniel S. Schmidt
14 papers receiving 843 citations
Daniel S. Schmidt's Hit Papers
Peers
Comparison fields: 5 of 81
- Virology 115
- Immunology 248
- Infectious Diseases 200
- Microbiology 69
- Epidemiology 265
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 | 472 |
| 2 | 2004 | 100 | |
| 3 | 1993 | 66 | |
| 4 | 2008 | 64 | |
| 5 | 2011 | 44 | |
| 6 | 2004 | 43 | |
| 7 | 2010 | 12 | |
| 8 | 1998 | 12 | |
| 9 | 2012 | 10 | |
| 10 | 2015 | 9 | |
| 11 | 2016 | 6 | |
| 12 | 2006 | 5 | |
| 13 | 1994 | 4 | |
| 14 | 2014 | 3 | |
| 15 | 2018 | 0 | |
| 16 | 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 16 papers that have together received 850 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 Zoonotic diseases and public health (1 paper). The work is most often cited by research in Virology (115 citations), Immunology (248 citations), Infectious Diseases (200 citations), Microbiology (69 citations) and Epidemiology (265 citations). Daniel S. Schmidt has collaborated with scholars based in United States, Mexico and Kenya. Frequent co-authors include Rafi Ahmed, David S. Stephens, Sandra Romero‐Steiner, George M. Carlone, Nadine Rouphael, Scott Presnell, Gowrisankar Rajam, A. Karolina Palucka, Mark J. Mulligan and Sudhir Pai Kasturi. Their work appears in journals such as Clinical and Vaccine Immunology, Journal of Immunological Methods, Vaccine, The Journal of Infectious Diseases and Journal of Virology.
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.