Lisa Fernando
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Immunology top 5%
- Emergency Medical Services top 0.5%
- Molecular Biology
- Co-authors
- Steven J.M. JonesHeinz FeldmannJudie B. AlimontiUte StröherXiangguo QiuAllen GrollaJoan B. GeisbertLisa E. Hensley
- Topics
- Viral Infections and Outbreaks Research (23 papers)Viral Infections and Vectors (21 papers)Hepatitis B Virus Studies (12 papers)
- Journals
- NatureThe LancetNature Medicine
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Lisa Fernando
27 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 2.1k
- Epidemiology 1.3k
- Immunology 478
- Emergency Medical Services 364
- Molecular Biology 271
Countries citing papers authored by Lisa Fernando
This map shows the geographic impact of Lisa Fernando'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 Lisa Fernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Fernando more than expected).
Fields of papers citing papers by Lisa Fernando
This network shows the impact of papers produced by Lisa Fernando. 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 Lisa Fernando. The network helps show where Lisa Fernando may publish in the future.
Co-authorship network of co-authors of Lisa Fernando
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Fernando. A scholar is included among the top collaborators of Lisa Fernando based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa Fernando. Lisa Fernando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 17 | |
| 3 | 30 | |
| 4 | 29 | |
| 5 | 19 | |
| 6 | 35 | |
| 7 | 55 | |
| 8 | 75 | |
| 9 | 48 | |
| 10 | 95 | |
| 11 | 109 | |
| 12 | 9 | |
| 13 | 210 | |
| 14 | Aberrant innate immune response in lethal infection of macaques with the 1918 influenza virusbreakdown → | 727 |
| 15 | 98 | |
| 16 | 140 | |
| 17 | 188 | |
| 18 | Live attenuated recombinant vaccine protects nonhuman primates against Ebola and Marburg virusesbreakdown → | 506 |
| 19 | 43 | |
| 20 | 79 |
About Lisa Fernando
Lisa Fernando is a scholar working on Infectious Diseases, Aging and Modeling and Simulation, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (23 papers), Viral Infections and Vectors (21 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Emergency Medical Services (364 citations) and Modeling and Simulation (219 citations). Lisa Fernando has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Steven J.M. Jones, Heinz Feldmann, Judie B. Alimonti, Ute Ströher, Xiangguo Qiu, Allen Grolla, Joan B. Geisbert, Lisa E. Hensley, Thomas W. Geisbert and Elizabeth A. Fritz. Their work appears in journals such as Nature, The Lancet and Nature 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.