Nathaniel D. Lambert
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Virology and Viral Diseases
Papers in
- Epidemiology 12
- Influenza Virus Research Studies 8
- Virology and Viral Diseases 7
- Respiratory viral infections research 3
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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)James L. Kirkland (1 shared paper)
- Journals
- PLoS ONE (3 papers)Expert Review of Vaccines (2 papers)The Journal of Immunology (1 paper)Current Opinion in Immunology (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Nathaniel D. Lambert
15 papers receiving 611 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 200
- Epidemiology 368
- Health 88
- Immunology 194
- Microbiology 25
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 | 104 | |
| 2 | 2013 | 93 | |
| 3 | 2014 | 67 | |
| 4 | 2015 | 60 | |
| 5 | 2016 | 58 | |
| 6 | 2014 | 57 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 38 | |
| 9 | 2014 | 24 | |
| 10 | 2014 | 21 | |
| 11 | 2013 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2011 | 3 | |
| 15 | 2009 | 1 |
About Nathaniel D. Lambert
Nathaniel D. Lambert is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Genetics, having authored 15 papers that have together received 618 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Virology and Viral Diseases (7 papers), vaccines and immunoinformatics approaches (4 papers), T-cell and B-cell Immunology (3 papers), Respiratory viral infections research (3 papers), Viral Infections and Vectors (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Infectious Diseases (200 citations), Epidemiology (368 citations), Health (88 citations), Immunology (194 citations) and Microbiology (25 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, James L. Kirkland, Brett A. McKinney and Diane E. Grill. Their work appears in journals such as PLoS ONE, Expert Review of Vaccines, The Journal of Immunology, Current Opinion in Immunology and Infection and Immunity.
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.