Lucie Abeler‐Dörner
- Modeling and Simulation top 0.2%
- Information Systems top 0.5%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Sociology and Political Science top 5%
- Co-authors
- Christophe FraserDavid BonsallMichael ParkerChris WymantLuca FerrettiMichelle KendallAnel NurtayLele Zhao
- Topics
- COVID-19 epidemiological studies (8 papers)HIV Research and Treatment (6 papers)HIV/AIDS Research and Interventions (6 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Lucie Abeler‐Dörner
25 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 1.1k
- Information Systems 901
- Infectious Diseases 592
- Epidemiology 574
- Sociology and Political Science 492
Countries citing papers authored by Lucie Abeler‐Dörner
This map shows the geographic impact of Lucie Abeler‐Dörner'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 Lucie Abeler‐Dörner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucie Abeler‐Dörner more than expected).
Fields of papers citing papers by Lucie Abeler‐Dörner
This network shows the impact of papers produced by Lucie Abeler‐Dörner. 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 Lucie Abeler‐Dörner. The network helps show where Lucie Abeler‐Dörner may publish in the future.
Co-authorship network of co-authors of Lucie Abeler‐Dörner
This figure shows the co-authorship network connecting the top 25 collaborators of Lucie Abeler‐Dörner. A scholar is included among the top collaborators of Lucie Abeler‐Dörner 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 Lucie Abeler‐Dörner. Lucie Abeler‐Dörner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 9 | |
| 9 | 63 | |
| 10 | The epidemiological impact of the NHS COVID-19 appbreakdown → | 163 |
| 11 | Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracingbreakdown → | 1519 |
| 12 | 13 | |
| 13 | 56 | |
| 14 | 149 | |
| 15 | 19 | |
| 16 | 20 | |
| 17 | 12 | |
| 18 | 62 | |
| 19 | 110 | |
| 20 | RGS1 is a key regulator of human T cell migration and a potential target for therapy in Inflammatory Bowel Disease (IBD) | 2 |
About Lucie Abeler‐Dörner
Lucie Abeler‐Dörner is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), HIV Research and Treatment (6 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Information Systems (901 citations) and Infectious Diseases (592 citations). Lucie Abeler‐Dörner has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Christophe Fraser, David Bonsall, Michael Parker, Chris Wymant, Luca Ferretti, Michelle Kendall, Anel Nurtay, Lele Zhao, Adrian Hayday and Mahima Swamy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.