Maya Sangesland

39 total papers · 1.8k total citations
26 papers, 1.0k citations indexed

About

Maya Sangesland is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Maya Sangesland has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Maya Sangesland’s work include Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Maya Sangesland is often cited by papers focused on Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Maya Sangesland collaborates with scholars based in United States, United Kingdom and France. Maya Sangesland's co-authors include Simon C. Johnson, Peter S. Rabinovitch, Matt Kaeberlein, Daniel Lingwood, Anthony S. Castanza, Jessica Hui, Ernst‐Bernhard Kayser, Valerie Wall, Albert Quintana and Richard D. Palmiter and has published in prestigious journals such as Science, Nature Communications and Immunity.

In The Last Decade

Co-authorship network of co-authors of Maya Sangesland

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

Maya Sangesland

21 papers receiving 1.0k citations

Fields of papers citing papers by Maya Sangesland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Sangesland

Since Specialization
Citations

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

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