Hannah Nam
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Antifungal resistance and susceptibility
- Epidemiology top 10%
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
Papers in
- Co-authors
- Michael G. IsonMartin HoeniglJeffrey D. JenksWilliam L. InceJohn H. BeigelAmy SimsAmy E. KrafftSamer S. El‐Kamary
- Journals
- Open Forum Infectious Diseases (4 papers)Transplantation (3 papers)Transplantation and Cellular Therapy (2 papers)Nature Communications (1 paper)Seminars in Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- United StatesThailandAustria
In The Last Decade
Hannah Nam
24 papers receiving 630 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 306
- Epidemiology 393
- Modeling and Simulation 20
- Health Information Management 20
- Pulmonary and Respiratory Medicine 137
Countries citing papers authored by Hannah Nam
This map shows the geographic impact of Hannah Nam'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 Hannah Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Nam more than expected).
Fields of papers citing papers by Hannah Nam
This network shows the impact of papers produced by Hannah Nam. 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 Hannah Nam. The network helps show where Hannah Nam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hannah Nam, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 30 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 0 | |
| 8 | 2021 | 66 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 59 | |
| 11 | 2020 | 29 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 0 | |
| 14 | Respiratory syncytial virus infection in adults Hit paper breakdown → | 2019 | 205 |
| 15 | 2019 | 124 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 13 | |
| 19 | 2014 | 24 | |
| 20 | 2009 | 17 |
About Hannah Nam
Hannah Nam is a scholar working on Microbiology, Health Informatics, Infectious Diseases, Epidemiology and Health Information Management, having authored 26 papers that have together received 643 indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Pneumonia and Respiratory Infections (4 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Neonatal Respiratory Health Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (306 citations), Epidemiology (393 citations), Modeling and Simulation (20 citations), Health Information Management (20 citations) and Pulmonary and Respiratory Medicine (137 citations). Hannah Nam has collaborated with scholars based in United States, Thailand and Austria. Frequent co-authors include Michael G. Ison, Martin Hoenigl, Jeffrey D. Jenks, William L. Ince, John H. Beigel, Amy Sims, Amy E. Krafft, Samer S. El‐Kamary, Chad J. Achenbach and Judd F. Hultquist. Their work appears in journals such as Open Forum Infectious Diseases, Transplantation, Transplantation and Cellular Therapy, Nature Communications and Seminars in Respiratory and Critical Care Medicine.
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.