Liis Haljasmägi
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 2
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Co-authors
- Pärt Peterson (11 shared papers)Kai Kisand (12 shared papers)Pauliina Rumm (5 shared papers)Liina Tserel (6 shared papers)Epp Sepp (4 shared papers)Paul Naaber (5 shared papers)Jaanika Kärner (4 shared papers)Mart Ustav (3 shared papers)
- Journals
- Cell Reports Medicine (2 papers)Scientific Reports (1 paper)Vaccine (1 paper)Frontiers in Immunology (1 paper)The Lancet Regional Health - Europe (1 paper)
- Partner nations
- EstoniaUnited KingdomFrance
In The Last Decade
Liis Haljasmägi
13 papers receiving 596 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 470
- Modeling and Simulation 55
- Health 96
- Animal Science and Zoology 74
- Immunology 120
Countries citing papers authored by Liis Haljasmägi
This map shows the geographic impact of Liis Haljasmägi'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 Liis Haljasmägi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liis Haljasmägi more than expected).
Fields of papers citing papers by Liis Haljasmägi
This network shows the impact of papers produced by Liis Haljasmägi. 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 Liis Haljasmägi. The network helps show where Liis Haljasmägi may publish in the future.
Co-authors
The 25 scholars most cited alongside Liis Haljasmägi, 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 | Dynamics of antibody response to BNT162b2 vaccine after six months: a longitudinal prospective study Hit paper breakdown → | 2021 | 379 |
| 2 | 2020 | 59 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 26 | |
| 5 | 2023 | 26 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 7 | |
| 10 | 2025 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 1 |
About Liis Haljasmägi
Liis Haljasmägi is a scholar working on Infectious Diseases, Immunology, Rheumatology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 601 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), T-cell and B-cell Immunology (4 papers), Systemic Lupus Erythematosus Research (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 detection and testing (2 papers), Adrenal Hormones and Disorders (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Infectious Diseases (470 citations), Modeling and Simulation (55 citations), Health (96 citations), Animal Science and Zoology (74 citations) and Immunology (120 citations). Liis Haljasmägi has collaborated with scholars based in Estonia, United Kingdom and France. Frequent co-authors include Pärt Peterson, Kai Kisand, Pauliina Rumm, Liina Tserel, Epp Sepp, Paul Naaber, Jaanika Kärner, Mart Ustav, Anu Planken and Kadri Kangro. Their work appears in journals such as Cell Reports Medicine, Scientific Reports, Vaccine, Frontiers in Immunology and The Lancet Regional Health - Europe.
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.