Amber M. Smith
Impact in
- Immunology top 0.2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- interferon and immune responses
- T-cell and B-cell Immunology
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
Papers in
- Immunology 43
- Immune Response and Inflammation 19
- Immune Cell Function and Interaction 15
- Immune cells in cancer 12
- interferon and immune responses 8
- Co-authors
- Edward J. PearceErika L. PearceStanley Ching‐Cheng HuangBart EvertsPeter J. MurrayJonathan J. MinerMichael DiamondWing Y. Lam
- Journals
- The Journal of Immunology (6 papers)Cell Reports (5 papers)Immunity (4 papers)Cell Host & Microbe (4 papers)PLoS Pathogens (4 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Amber M. Smith
76 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 5.5k
- Infectious Diseases 2.3k
- Epidemiology 2.6k
- Public Health, Environmental and Occupational Health 1.9k
- Modeling and Simulation 268
Countries citing papers authored by Amber M. Smith
This map shows the geographic impact of Amber M. Smith'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 Amber M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber M. Smith more than expected).
Fields of papers citing papers by Amber M. Smith
This network shows the impact of papers produced by Amber M. Smith. 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 Amber M. Smith. The network helps show where Amber M. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amber M. Smith, 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 | 2024 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 50 | |
| 10 | TBK1 and IKK epsilon Act Redundantly to Mediate STING-Induced NF-kappa B Responses in Myeloid Cells | 2020 | 10 |
| 11 | 2019 | 29 | |
| 12 | 2016 | 254 | |
| 13 | Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Development Hit paper breakdown → | 2014 | 611 |
| 14 | 2014 | 105 | |
| 15 | 2012 | 137 | |
| 16 | 2012 | 1 | |
| 17 | 2009 | 2 | |
| 18 | 2008 | 32 | |
| 19 | 2007 | 132 | |
| 20 | 2006 | 186 |
About Amber M. Smith
Amber M. Smith is a scholar working on Immunology, Modeling and Simulation, Epidemiology, Infectious Diseases and Parasitology, having authored 80 papers that have together received 10.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (23 papers), Immune Response and Inflammation (19 papers), Respiratory viral infections research (15 papers), Immune Cell Function and Interaction (15 papers), Immune cells in cancer (12 papers), interferon and immune responses (8 papers), Viral Infections and Vectors (7 papers) and Pneumonia and Respiratory Infections (6 papers). The work is most often cited by research in Immunology (5.5k citations), Infectious Diseases (2.3k citations), Epidemiology (2.6k citations), Public Health, Environmental and Occupational Health (1.9k citations) and Modeling and Simulation (268 citations). Amber M. Smith has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Edward J. Pearce, Erika L. Pearce, Stanley Ching‐Cheng Huang, Bart Everts, Peter J. Murray, Jonathan J. Miner, Michael Diamond, Wing Y. Lam, Jennifer Govero and Jonathan A. McCullers. Their work appears in journals such as The Journal of Immunology, Cell Reports, Immunity, Cell Host & Microbe and PLoS Pathogens.
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.