Yue Ma‐Lauer

586 citations
11 papers · 434 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • interferon and immune responses

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • COVID-19 Clinical Research Studies 2
    • Signaling Pathways in Disease 4
    • RNA Interference and Gene Delivery 2
    • RNA and protein synthesis mechanisms 1

Yue Ma‐Lauer

11 papers receiving 430 citations

Peers

Yue Ma‐Lauer
Comparison fields: 5 of 61
  • Infectious Diseases 286
  • Immunology 83
  • Animal Science and Zoology 39
  • Obstetrics and Gynecology 26
  • Neurology 49
Replace Francesca T. Bovier with:
Francesca T. Bovier United States
Manuel Hayn Germany
Mathieu Iampietro France
Danielle E. Dorosky United States
Yunkai Zhu China
Patricio Doldan Germany
Wen Meng United States
Oded Danziger Israel
Yanxi Ji China
Thi Khanh Le France
Yue Ma‐Lauer relative to Francesca T. Bovier United States Francesca T. Bovier's profile →
Citations per field
00.5×5.2×
Francesca T. Bovier · 1×
Citations per year

Countries citing papers authored by Yue Ma‐Lauer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yue Ma‐Lauer Line = papers co-authored together Yue Ma‐Lauer links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016164
2 2014107
3 201951
4 201235
5 202134
6 201625
7 20227
8 20246
9 20233
10 20241
11 20251

About Yue Ma‐Lauer

Yue Ma‐Lauer is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Oncology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 434 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Signaling Pathways in Disease (4 papers), interferon and immune responses (3 papers), RNA Interference and Gene Delivery (2 papers), COVID-19 Clinical Research Studies (2 papers), Phagocytosis and Immune Regulation (1 paper), RNA and protein synthesis mechanisms (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (286 citations), Immunology (83 citations), Animal Science and Zoology (39 citations), Obstetrics and Gynecology (26 citations) and Neurology (49 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, Rolf Hilgenfeld, Jian Lei, 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, The EMBO Journal, International Journal of Biological Macromolecules and Current Opinion in Virology.

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.

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