Anne Månsson

693 total citations
11 papers, 553 citations indexed

About

Anne Månsson is a scholar working on Immunology, Emergency Medical Services and Physiology. According to data from OpenAlex, Anne Månsson has authored 11 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Emergency Medical Services and 4 papers in Physiology. Recurrent topics in Anne Månsson's work include Immune Response and Inflammation (7 papers), Pediatric health and respiratory diseases (6 papers) and Asthma and respiratory diseases (4 papers). Anne Månsson is often cited by papers focused on Immune Response and Inflammation (7 papers), Pediatric health and respiratory diseases (6 papers) and Asthma and respiratory diseases (4 papers). Anne Månsson collaborates with scholars based in Sweden and United States. Anne Månsson's co-authors include Lars‐Olaf Cardell, Mikael Adner, Kristian Riesbeck, Johan Jendholm, Laura Perez Vidakovics, Matthias Mörgelin, Christer Larsson, Rolf Uddman, Camilla Rydberg Millrud and Anders Bjartell and has published in prestigious journals such as PLoS Pathogens, Journal of Leukocyte Biology and Immunology.

In The Last Decade

Anne Månsson

11 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Månsson Sweden 9 326 141 122 111 94 11 553
Amanda J. McFarlane United Kingdom 7 174 0.5× 68 0.5× 78 0.6× 93 0.8× 57 0.6× 7 424
Benoı̂t Vincart Belgium 5 344 1.1× 85 0.6× 60 0.5× 168 1.5× 49 0.5× 5 521
C. Nguyen South Korea 8 161 0.5× 45 0.3× 87 0.7× 124 1.1× 54 0.6× 14 416
B Rynnel-Dagöö Sweden 15 236 0.7× 154 1.1× 116 1.0× 218 2.0× 47 0.5× 18 642
Ulrich Zaehringer Germany 4 159 0.5× 53 0.4× 90 0.7× 102 0.9× 48 0.5× 7 337
Kunio Sano Japan 12 421 1.3× 44 0.3× 102 0.8× 36 0.3× 221 2.4× 22 632
Hendrik Schultz Germany 14 205 0.6× 103 0.7× 117 1.0× 77 0.7× 62 0.7× 28 612
Andreas Towarowski Germany 6 1.2k 3.7× 65 0.5× 176 1.4× 145 1.3× 66 0.7× 6 1.4k
Christel Buelens Belgium 8 925 2.8× 35 0.2× 170 1.4× 85 0.8× 64 0.7× 11 1.1k
Kathrin Steinwede Germany 9 259 0.8× 30 0.2× 117 1.0× 125 1.1× 27 0.3× 12 456

Countries citing papers authored by Anne Månsson

Since Specialization
Citations

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

Fields of papers citing papers by Anne Månsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Månsson

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

All Works

11 of 11 papers shown
2.
Vidakovics, Laura Perez, Johan Jendholm, Matthias Mörgelin, et al.. (2010). B Cell Activation by Outer Membrane Vesicles—A Novel Virulence Mechanism. PLoS Pathogens. 6(1). e1000724–e1000724. 141 indexed citations
3.
Månsson, Anne, et al.. (2010). Leukocyte phenotype changes induced by specific immunotherapy in patients with birch allergy.. PubMed. 20(6). 476–83. 6 indexed citations
4.
Jendholm, Johan, et al.. (2010). Effects of NOD-like receptors in human B lymphocytes and crosstalk between NOD1/NOD2 and Toll-like receptors. Journal of Leukocyte Biology. 89(2). 177–187. 61 indexed citations
5.
Månsson, Anne, Mikael Adner, Mikael Benson, et al.. (2009). TLR3 in Human Eosinophils: Functional Effects and Decreased Expression during Allergic Rhinitis. International Archives of Allergy and Immunology. 151(2). 118–128. 29 indexed citations
6.
Månsson, Anne & Lars‐Olaf Cardell. (2009). Role of atopic status in Toll-like receptor (TLR)7- and TLR9-mediated activation of human eosinophils. Journal of Leukocyte Biology. 85(4). 719–727. 48 indexed citations
7.
Månsson, Anne, et al.. (2008). Differentiated S100A7 expression in infected tonsils and tonsils from allergic individuals. FEMS Immunology & Medical Microbiology. 53(3). 413–420. 13 indexed citations
8.
Millrud, Camilla Rydberg, Anne Månsson, Rolf Uddman, Kristian Riesbeck, & Lars‐Olaf Cardell. (2008). Toll‐like receptor agonists induce inflammation and cell death in a model of head and neck squamous cell carcinomas. Immunology. 128(1pt2). e600–11. 65 indexed citations
9.
Månsson, Anne & Lars‐Olaf Cardell. (2008). Activation of eosinophilsviaToll-like receptor (TLR)3, TLR7 and TLR9: link between viral infection and asthma?. European Respiratory Review. 17(107). 46–48. 4 indexed citations
11.
Månsson, Anne, Mikael Adner, & Lars‐Olaf Cardell. (2006). Toll-like receptors in cellular subsets of human tonsil T cells: altered expression during recurrent tonsillitis. Respiratory Research. 7(1). 36–36. 76 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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