Sara Åkerström

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 Bacillus and Francisella bacterial research (4 papers), Viral Infections and Vectors (4 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). Sara Åkerström is often cited by papers focused on Bacillus and Francisella bacterial research (4 papers), Viral Infections and Vectors (4 papers) and Yersinia bacterium, plague, ectoparasites 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Åkerström Sweden 13 638 161 156 148 125 17 1.0k
Xixi Wang China 18 487 0.8× 303 1.9× 110 0.7× 261 1.8× 156 1.2× 30 1.3k
Chunyan Ye United States 21 798 1.3× 202 1.3× 116 0.7× 156 1.1× 142 1.1× 70 1.2k
Masayoshi Yukawa Japan 21 280 0.4× 118 0.7× 97 0.6× 152 1.0× 127 1.0× 64 1.1k
Jamie Lovaglio United States 15 427 0.7× 78 0.5× 41 0.3× 121 0.8× 172 1.4× 42 754
Nadia Storm United States 18 502 0.8× 115 0.7× 84 0.5× 217 1.5× 146 1.2× 29 1000
Jeanette E. Purcell United States 17 356 0.6× 109 0.7× 61 0.4× 99 0.7× 120 1.0× 27 858
Luiz Gustavo Gardinassi Brazil 19 243 0.4× 176 1.1× 73 0.5× 351 2.4× 186 1.5× 61 1.0k
Junki Maruyama United States 17 861 1.3× 101 0.6× 33 0.2× 165 1.1× 338 2.7× 48 1.2k
R. J. Harris Australia 14 247 0.4× 168 1.0× 100 0.6× 512 3.5× 277 2.2× 19 1.4k
Valentijn Vergote Belgium 17 338 0.5× 112 0.7× 73 0.5× 227 1.5× 152 1.2× 40 818

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

17 of 17 papers shown
1.
Hestvik, Gete, Henrik Uhlhorn, Miriam Koene, et al.. (2019). Francisella tularensisin Swedish predators and scavengers. Epidemiology and Infection. 147. e293–e293. 5 indexed citations
2.
Hestvik, Gete, Henrik Uhlhorn, Roland Mattsson, et al.. (2018). Pathology of natural Francisella tularensis subsp. holarctica infection in two yellow-necked mice (Apodemus flavicollis). Acta veterinaria Scandinavica. 60(1). 26–26. 4 indexed citations
3.
Hestvik, Gete, Henrik Uhlhorn, Fredrik Södersten, et al.. (2017). Tularaemia in European Brown Hares ( Lepus europaeus ) and Mountain Hares ( Lepus timidus ) Characterized by Histopathology and Immunohistochemistry: Organ Lesions and Suggestions of Routes of Infection and Shedding. Journal of Comparative Pathology. 157(2-3). 103–114. 10 indexed citations
4.
Hestvik, Gete, et al.. (2017). Francisella tularensisin muscle from diseased hares – a risk factor for humans?. Epidemiology and Infection. 145(16). 3449–3454. 1 indexed citations
5.
6.
Lindstedt, Bjørn-Arne, Mia Torpdahl, Gilles Vergnaud, et al.. (2013). Use of multilocus variable-number tandem repeat analysis (MLVA) in eight European countries, 2012. Eurosurveillance. 18(4). 20385–20385. 53 indexed citations
7.
Sharma, Kulbhushan, Sara Åkerström, Anuj Kumar Sharma, et al.. (2011). SARS-CoV 9b Protein Diffuses into Nucleus, Undergoes Active Crm1 Mediated Nucleocytoplasmic Export and Triggers Apoptosis When Retained in the Nucleus. PLoS ONE. 6(5). e19436–e19436. 32 indexed citations
8.
Moll, Guido, Cecilia Andersson, Sara Åkerström, et al.. (2011). Crimean-Congo Hemorrhagic Fever Virus Activates Endothelial Cells. Journal of Virology. 85(15). 7766–7774. 71 indexed citations
9.
Bereczky, Sándor, Gunnel Lindegren, Helen Karlberg, et al.. (2010). Crimean-Congo hemorrhagic fever virus infection is lethal for adult type I interferon receptor-knockout mice. Journal of General Virology. 91(6). 1473–1477. 134 indexed citations
10.
Åkerström, Sara, et al.. (2010). A new panel of NS1 antibodies for easy detection and titration of influenza A virus. Journal of Medical Virology. 82(3). 467–475. 14 indexed citations
11.
Keng, Choong Tat, Sara Åkerström, Cynthia Sau-Wai Leung, et al.. (2010). SARS coronavirus 8b reduces viral replication by down-regulating E via an ubiquitin-independent proteasome pathway. Microbes and Infection. 13(2). 179–188. 13 indexed citations
12.
Åkerström, Sara, Shuo Shen, Sándor Bereczky, et al.. (2010). An Antibody against a Novel and Conserved Epitope in the Hemagglutinin 1 Subunit Neutralizes Numerous H5N1 Influenza Viruses. Journal of Virology. 84(16). 8275–8286. 58 indexed citations
13.
Åkerström, Sara, Vithiagaran Gunalan, Choong Tat Keng, Yee‐Joo Tan, & Alì Mirazimi. (2009). Dual effect of nitric oxide on SARS-CoV replication: Viral RNA production and palmitoylation of the S protein are affected. Virology. 395(1). 1–9. 180 indexed citations
14.
Klingström, Jonas, Sara Åkerström, Jonas Hardestam, et al.. (2006). Nitric oxide and peroxynitrite have different antiviral effects against hantavirus replication and free mature virions. European Journal of Immunology. 36(10). 2649–2657. 52 indexed citations
15.
Åkerström, Sara, Alì Mirazimi, & Yee‐Joo Tan. (2006). Inhibition of SARS-CoV replication cycle by small interference RNAs silencing specific SARS proteins, 7a/7b, 3a/3b and S. Antiviral Research. 73(3). 219–227. 53 indexed citations
16.
Åkerström, Sara, Yee‐Joo Tan, & Alì Mirazimi. (2006). Amino acids 15–28 in the ectodomain of SARS coronavirus 3a protein induces neutralizing antibodies. FEBS Letters. 580(16). 3799–3803. 22 indexed citations
17.
Åkerström, Sara, Mehrdad Mousavi‐Jazi, Jonas Klingström, et al.. (2005). Nitric Oxide Inhibits the Replication Cycle of Severe Acute Respiratory Syndrome Coronavirus. Journal of Virology. 79(3). 1966–1969. 267 indexed citations

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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