Paulina Akéus

13 total papers · 436 total citations
10 papers, 327 citations indexed

About

Paulina Akéus is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Paulina Akéus has authored 10 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Oncology and 1 paper in Surgery. Recurrent topics in Paulina Akéus's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Paulina Akéus is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Paulina Akéus collaborates with scholars based in Sweden, United States and Germany. Paulina Akéus's co-authors include Marianne Quiding‐Järbrink, Bengt Gustavsson, Sukanya Raghavan, Patrik Sundström, Filip Ahlmanner, Åsa Sjöling, L. Börjesson, Ulf Yrlid, Samuel Alsén and Malin Sundquist and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and European Journal of Immunology.

In The Last Decade

Paulina Akéus

10 papers receiving 327 citations

Author Peers

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

Author Last Decade Papers Cites
Paulina Akéus 253 144 64 27 24 10 327
Louise Elliott 231 0.9× 123 0.9× 68 1.1× 23 0.9× 39 1.6× 7 358
Sarah Zaghouani 171 0.7× 97 0.7× 33 0.5× 17 0.6× 17 0.7× 7 224
Laura Surace 251 1.0× 100 0.7× 47 0.7× 57 2.1× 21 0.9× 10 339
Friederike Raczkowski 218 0.9× 74 0.5× 64 1.0× 17 0.6× 33 1.4× 9 315
Jordan Loeliger 249 1.0× 50 0.3× 83 1.3× 18 0.7× 31 1.3× 8 327
S Legros-Maïda 181 0.7× 51 0.4× 89 1.4× 40 1.5× 33 1.4× 9 333
Filip Ahlmanner 241 1.0× 154 1.1× 26 0.4× 12 0.4× 28 1.2× 7 296
Katja Möller‐Hackbarth 181 0.7× 129 0.9× 102 1.6× 13 0.5× 18 0.8× 11 325
Fay Magnusson 273 1.1× 102 0.7× 46 0.7× 34 1.3× 10 0.4× 8 350
Brandon Theall 215 0.8× 54 0.4× 98 1.5× 21 0.8× 34 1.4× 10 342

Countries citing papers authored by Paulina Akéus

Since Specialization
Citations

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

Fields of papers citing papers by Paulina Akéus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulina Akéus

This figure shows the co-authorship network connecting the top 25 collaborators of Paulina Akéus. A scholar is included among the top collaborators of Paulina Akéus 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 Paulina Akéus. Paulina Akéus 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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