Marie Zechner
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Genetics top 5%
- Genetic Associations and Epidemiology
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 6
- Co-authors
- Jonathan Edward Millar (1 shared paper)Sara Clohisey (1 shared paper)John Kenneth Baillie (1 shared paper)Nick Parkinson (1 shared paper)Max Head Fourman (1 shared paper)Andy S Law (1 shared paper)Maaike C. Swets (1 shared paper)Clark D Russell (1 shared paper)
- Journals
- Nature (5 papers)Human Genetics and Genomics Advances (1 paper)Scientific Reports (1 paper)Journal of Neuroscience Methods (1 paper)Institutional Repositories DataBase (IRDB) (1 paper)
- Partner nations
- United KingdomNetherlandsChina
In The Last Decade
Marie Zechner
8 papers receiving 2.1k citations
Marie Zechner's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 579
- Genetics 437
- Immunology 124
- Neurology 67
- Modeling and Simulation 7
Countries citing papers authored by Marie Zechner
This map shows the geographic impact of Marie Zechner'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 Marie Zechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Zechner more than expected).
Fields of papers citing papers by Marie Zechner
This network shows the impact of papers produced by Marie Zechner. 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 Marie Zechner. The network helps show where Marie Zechner may publish in the future.
Co-authors
The 10 scholars most cited alongside Marie Zechner, 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 | Genetic mechanisms of critical illness in COVID-19 Hit paper breakdown → | 2020 | 1024 |
| 2 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 656 |
| 3 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 233 |
| 4 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 125 |
| 5 | 2023 | 60 | |
| 6 | 2020 | 35 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 0 |
About Marie Zechner
Marie Zechner is a scholar working on Genetics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (579 citations), Genetics (437 citations), Immunology (124 citations), Neurology (67 citations) and Modeling and Simulation (7 citations). Marie Zechner has collaborated with scholars based in United Kingdom, Netherlands and China. Frequent co-authors include Jonathan Edward Millar, Sara Clohisey, John Kenneth Baillie, Nick Parkinson, Max Head Fourman, Andy S Law, Maaike C. Swets, Clark D Russell, Ian Duguid and Thomas R Clarke. Their work appears in journals such as Nature, Human Genetics and Genomics Advances, Scientific Reports, Journal of Neuroscience Methods and Institutional Repositories DataBase (IRDB).
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.