Sandro Halwe

4.0k citations
7 papers · 144 · h-index 6

Impact in

    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • Viral Infections and Outbreaks Research 3
    • Viral Infections and Vectors 3
    • SARS-CoV-2 detection and testing 1
    • interferon and immune responses 1
    • Phagocytosis and Immune Regulation 1

Sandro Halwe

7 papers receiving 141 citations

Peers

Sandro Halwe
Comparison fields: 5 of 36
  • Infectious Diseases 101
  • Virology 8
  • Animal Science and Zoology 15
  • Epidemiology 47
  • Modeling and Simulation 4
Replace Nikesh Tailor with:
Nikesh Tailor Canada
Wilhelm Furnon United Kingdom
Emily V. Nelson United States
Tomaz B. Manzoni United States
Xiangyang Ge China
Yuhei Morioka Japan
Krithika Muthuraman Canada
Carlos Franco-Muñoz Colombia
Gene S. Tan United States
Clemens Lier Germany
Sandro Halwe relative to Nikesh Tailor Canada Nikesh Tailor's profile →
Citations per field
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Nikesh Tailor · 1×
Citations per year

Countries citing papers authored by Sandro Halwe

Since Specialization
Citations

This map shows the geographic impact of Sandro Halwe'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 Sandro Halwe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Halwe more than expected).

Fields of papers citing papers by Sandro Halwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandro Halwe. 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 Sandro Halwe. The network helps show where Sandro Halwe may publish in the future.

Co-authors

The 25 scholars most cited alongside Sandro Halwe, 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 Sandro Halwe Line = papers co-authored together Sandro Halwe links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201946
2 202032
3 202131
4 201813
5 202212
6 20226
7 20234

About Sandro Halwe

Sandro Halwe is a scholar working on Infectious Diseases, Immunology, Modeling and Simulation, Epidemiology and Cell Biology, having authored 7 papers that have together received 144 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (3 papers), Viral Infections and Vectors (3 papers), COVID-19 epidemiological studies (2 papers), interferon and immune responses (1 paper), Biosensors and Analytical Detection (1 paper), Phagocytosis and Immune Regulation (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (101 citations), Virology (8 citations), Animal Science and Zoology (15 citations), Epidemiology (47 citations) and Modeling and Simulation (4 citations). Sandro Halwe has collaborated with scholars based in Germany and Japan. Frequent co-authors include Larissa Kolesnikova, Cornelius Rohde, Verena Krähling, Bevan Sawatsky, Andrea Maisner, Lucie Sauerhering, Stephan Becker, Erik Dietzel, Clemens Lier and Stephan Becker. Their work appears in journals such as iScience, The Journal of Infectious Diseases, PLoS Pathogens, Journal of Immunological Methods and Molecular Therapy.

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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