Nathaniel Dane Lambert
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Epidemiology top 5%
- Virology and Viral Diseases
- Influenza Virus Research Studies
Papers in
- Epidemiology 11
- Virology and Viral Diseases 8
- Influenza Virus Research Studies 3
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- Immune responses and vaccinations 6
- Immunotherapy and Immune Responses 3
- Co-authors
- Gregory A. Poland (14 shared papers)Inna G. Ovsyannikova (11 shared papers)Richard B. Kennedy (10 shared papers)V. Shane Pankratz (8 shared papers)Joseph P. Icenogle (2 shared papers)Iana H. Haralambieva (8 shared papers)Peter M. Strebel (1 shared paper)Walter Albert Orenstein (1 shared paper)
- Journals
- PLoS ONE (3 papers)Expert Review of Vaccines (2 papers)Vaccine (2 papers)Clinical and Vaccine Immunology (1 paper)The Lancet (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Nathaniel Dane Lambert
18 papers receiving 930 citations
Peers
Comparison fields: 5 of 92
- Microbiology 95
- Epidemiology 431
- Immunology 186
- Aging 14
- General Dentistry 2
Countries citing papers authored by Nathaniel Dane Lambert
This map shows the geographic impact of Nathaniel Dane 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 Dane 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 Dane Lambert more than expected).
Fields of papers citing papers by Nathaniel Dane Lambert
This network shows the impact of papers produced by Nathaniel Dane 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 Dane Lambert. The network helps show where Nathaniel Dane Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathaniel Dane 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 | 2015 | 219 | |
| 2 | 2012 | 111 | |
| 3 | 2013 | 101 | |
| 4 | 2014 | 71 | |
| 5 | 2014 | 64 | |
| 6 | 2015 | 64 | |
| 7 | 2016 | 62 | |
| 8 | 2018 | 58 | |
| 9 | 2014 | 45 | |
| 10 | 2014 | 40 | |
| 11 | 2014 | 27 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2013 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2020 | 8 | |
| 17 | Value of HCV antigen-antibody combined HCV assay in hepatitis C diagnosis. | 2007 | 4 |
| 18 | 2011 | 4 |
About Nathaniel Dane Lambert
Nathaniel Dane Lambert is a scholar working on Epidemiology, Immunology, Microbiology, Genetics and Hepatology, having authored 18 papers that have together received 963 indexed citations. Recurring topics across this work include Virology and Viral Diseases (8 papers), Immune responses and vaccinations (6 papers), Genetic Associations and Epidemiology (4 papers), Bacterial Infections and Vaccines (3 papers), vaccines and immunoinformatics approaches (3 papers), Influenza Virus Research Studies (3 papers), Immunotherapy and Immune Responses (3 papers) and Hepatitis C virus research (1 paper). The work is most often cited by research in Microbiology (95 citations), Epidemiology (431 citations), Immunology (186 citations), Aging (14 citations) and General Dentistry (2 citations). Nathaniel Dane Lambert has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Gregory A. Poland, Inna G. Ovsyannikova, Richard B. Kennedy, V. Shane Pankratz, Joseph P. Icenogle, Iana H. Haralambieva, Peter M. Strebel, Walter Albert Orenstein, Robert M. Jacobson and Ann L. Oberg. Their work appears in journals such as PLoS ONE, Expert Review of Vaccines, Vaccine, Clinical and Vaccine Immunology and The Lancet.
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.