Yue Ma‐Lauer
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- interferon and immune responses
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Outbreaks Research 1
- COVID-19 Clinical Research Studies 1
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- Signaling Pathways in Disease 4
- RNA Interference and Gene Delivery 1
- Co-authors
- Albrecht von Brunn (11 shared papers)Brigitte von Brunn (6 shared papers)Jian Lei (4 shared papers)Rolf Hilgenfeld (3 shared papers)Javier Carbajo-Lozoya (2 shared papers)Christian Drosten (3 shared papers)Miroslav Malešević (2 shared papers)Günter Fischer (2 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)Virus Research (1 paper)Current Opinion in Virology (1 paper)Molecular Pharmacology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Yue Ma‐Lauer
11 papers receiving 441 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 270
- Immunology 79
- Animal Science and Zoology 40
- Obstetrics and Gynecology 22
- Neurology 43
Countries citing papers authored by Yue Ma‐Lauer
This map shows the geographic impact of Yue Ma‐Lauer'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 Yue Ma‐Lauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Ma‐Lauer more than expected).
Fields of papers citing papers by Yue Ma‐Lauer
This network shows the impact of papers produced by Yue Ma‐Lauer. 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 Yue Ma‐Lauer. The network helps show where Yue Ma‐Lauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Yue Ma‐Lauer, 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 | 2016 | 169 | |
| 2 | 2014 | 108 | |
| 3 | 2019 | 52 | |
| 4 | 2012 | 36 | |
| 5 | 2021 | 36 | |
| 6 | 2016 | 26 | |
| 7 | 2022 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 |
About Yue Ma‐Lauer
Yue Ma‐Lauer is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 11 papers that have together received 445 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Signaling Pathways in Disease (4 papers), interferon and immune responses (3 papers), Mosquito-borne diseases and control (1 paper), Viral Infections and Outbreaks Research (1 paper), RNA Interference and Gene Delivery (1 paper), Viral Infections and Immunology Research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (270 citations), Immunology (79 citations), Animal Science and Zoology (40 citations), Obstetrics and Gynecology (22 citations) and Neurology (43 citations). Yue Ma‐Lauer has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Albrecht von Brunn, Brigitte von Brunn, Jian Lei, Rolf Hilgenfeld, Javier Carbajo-Lozoya, Christian Drosten, Miroslav Malešević, Günter Fischer, Heinrich Leonhardt and Wen Deng. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Virus Research, Current Opinion in Virology, Molecular Pharmacology and International Journal of Biological Macromolecules.
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.