Nathaniel D. Lambert
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Virology and Viral Diseases
- Respiratory viral infections research
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 12
- Virology and Viral Diseases 7
- Influenza Virus Research Studies 6
- Respiratory viral infections research 2
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- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
- Co-authors
- Gregory A. Poland (13 shared papers)Inna G. Ovsyannikova (11 shared papers)Richard B. Kennedy (10 shared papers)V. Shane Pankratz (7 shared papers)Iana H. Haralambieva (8 shared papers)Robert M. Jacobson (2 shared papers)Ann L. Oberg (2 shared papers)Brett A. McKinney (1 shared paper)
- Journals
- PLoS ONE (3 papers)Expert Review of Vaccines (2 papers)Infection and Immunity (1 paper)Clinical and Vaccine Immunology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Nathaniel D. Lambert
15 papers receiving 635 citations
Peers
Comparison fields: 5 of 90
- Epidemiology 341
- Infectious Diseases 179
- Health 73
- Immunology 177
- Virology 18
Countries citing papers authored by Nathaniel D. Lambert
This map shows the geographic impact of Nathaniel D. Lambert'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 Nathaniel D. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel D. Lambert more than expected).
Fields of papers citing papers by Nathaniel D. Lambert
This network shows the impact of papers produced by Nathaniel D. Lambert. 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 Nathaniel D. Lambert. The network helps show where Nathaniel D. Lambert may publish in the future.
Co-authors
The 19 scholars most cited alongside Nathaniel D. Lambert, 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 | 2012 | 107 | |
| 2 | 2013 | 97 | |
| 3 | 2014 | 70 | |
| 4 | 2015 | 62 | |
| 5 | 2014 | 60 | |
| 6 | 2016 | 60 | |
| 7 | 2014 | 43 | |
| 8 | 2014 | 39 | |
| 9 | 2014 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2014 | 21 | |
| 12 | 2014 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2011 | 4 | |
| 15 | 2009 | 1 |
About Nathaniel D. Lambert
Nathaniel D. Lambert is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Genetics, having authored 15 papers that have together received 648 indexed citations. Recurring topics across this work include Virology and Viral Diseases (7 papers), Influenza Virus Research Studies (6 papers), vaccines and immunoinformatics approaches (4 papers), T-cell and B-cell Immunology (3 papers), Respiratory viral infections research (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Viral Infections and Vectors (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Epidemiology (341 citations), Infectious Diseases (179 citations), Health (73 citations), Immunology (177 citations) and Virology (18 citations). Nathaniel D. Lambert has collaborated with scholars based in United States and France. Frequent co-authors include Gregory A. Poland, Inna G. Ovsyannikova, Richard B. Kennedy, V. Shane Pankratz, Iana H. Haralambieva, Robert M. Jacobson, Ann L. Oberg, Brett A. McKinney, James L. Kirkland and Brian Kabat. Their work appears in journals such as PLoS ONE, Expert Review of Vaccines, Infection and Immunity, Clinical and Vaccine Immunology and The Journal of Immunology.
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.