Sara Landeras-Bueno

516 total citations
15 papers, 355 citations indexed

About

Sara Landeras-Bueno is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Sara Landeras-Bueno has authored 15 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Sara Landeras-Bueno's work include interferon and immune responses (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Sara Landeras-Bueno is often cited by papers focused on interferon and immune responses (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Sara Landeras-Bueno collaborates with scholars based in United States, Spain and Germany. Sara Landeras-Bueno's co-authors include Juan Ortı́n, Laura Marcos-Villar, Amelia Nieto, Ana Falcón, Erica Ollmann Saphire, Sujan Shresta, Noelia Zamarreño, José L. Nieto-Torres, Malene Hansen and José Ángel Regla-Nava and has published in prestigious journals such as Nature Communications, Current Biology and Journal of Virology.

In The Last Decade

Sara Landeras-Bueno

14 papers receiving 353 citations

Peers

Sara Landeras-Bueno
Comparison fields: 5 of 62
  • Molecular Biology 170
  • Epidemiology 149
  • Immunology 100
  • Infectious Diseases 95
  • Public Health, Environmental and Occupational Health 43
Replace Chung-Hsin Tseng with:
Chung-Hsin Tseng Taiwan
Wandi Zhu China
Ebony A. Monson Australia
Himani Nailwal India
Ruidong Hao China
Zuodong Ye China
Lianzhong Zhao China
Joaquín López-Orozco Canada
Steven H.Y. Fan United States
Peiqi Yin China
Chung-Hsin Tseng Taiwan View profile →
Citations per field, relative to Sara Landeras-Bueno
Sara Landeras-Bueno · 1×
Citations per year, relative to Sara Landeras-Bueno
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Countries citing papers authored by Sara Landeras-Bueno

Since Specialization
Citations

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

Fields of papers citing papers by Sara Landeras-Bueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Landeras-Bueno. 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 Sara Landeras-Bueno. The network helps show where Sara Landeras-Bueno may publish in the future.

Co-authorship network of co-authors of Sara Landeras-Bueno

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Landeras-Bueno. A scholar is included among the top collaborators of Sara Landeras-Bueno 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 Sara Landeras-Bueno. Sara Landeras-Bueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 22
5 32
6 12
7 41
8 28
9 11
10 39
11 10
12 22
13 32
14 35
15 69

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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2026