Sara Åkerström

19 total papers · 1.4k total citations
17 papers, 1.0k citations indexed

About

Sara Åkerström is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Sara Åkerström has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Sara Åkerström's work include Viral Infections and Vectors (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Bacillus and Francisella bacterial research (4 papers). Sara Åkerström is often cited by papers focused on Viral Infections and Vectors (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Bacillus and Francisella bacterial research (4 papers). Sara Åkerström collaborates with scholars based in Sweden, Singapore and India. Sara Åkerström's co-authors include Alì Mirazimi, Jonas Klingström, Yee‐Joo Tan, Åke Lundkvist, Mehrdad Mousavi‐Jazi, Mikael Leijon, Helen Karlberg, Choong Tat Keng, Vithiagaran Gunalan and Sándor Bereczky and has published in prestigious journals such as PLoS ONE, Journal of Virology and FEBS Letters.

In The Last Decade

Sara Åkerström

17 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Åkerström 634 160 156 144 123 17 1.0k
Albert G. de Boer 336 0.5× 94 0.6× 83 0.5× 189 1.3× 97 0.8× 10 1.0k
Terence E. Hill 579 0.9× 78 0.5× 83 0.5× 86 0.6× 185 1.5× 25 840
Hong Zhou 715 1.1× 154 1.0× 102 0.7× 168 1.2× 132 1.1× 43 1.1k
Emily A. Travanty 502 0.8× 228 1.4× 51 0.3× 346 2.4× 337 2.7× 21 1.2k
Paul K. Hildebrandt 354 0.6× 93 0.6× 163 1.0× 111 0.8× 142 1.2× 45 1.2k
Nadia Storm 497 0.8× 115 0.7× 83 0.5× 217 1.5× 144 1.2× 29 991
Punya Shrivastava-Ranjan 673 1.1× 129 0.8× 31 0.2× 297 2.1× 233 1.9× 25 1.1k
Reto Straub 377 0.6× 97 0.6× 36 0.2× 319 2.2× 83 0.7× 16 1.0k
Jeanette E. Purcell 355 0.6× 109 0.7× 61 0.4× 99 0.7× 119 1.0× 27 854
Geneviève Côté 276 0.4× 69 0.4× 27 0.2× 141 1.0× 226 1.8× 36 1.1k

Countries citing papers authored by Sara Åkerström

Since Specialization
Citations

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

Fields of papers citing papers by Sara Åkerström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Åkerström

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

All Works

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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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