Lena Ågren

648 total citations
8 papers, 528 citations indexed

About

Lena Ågren is a scholar working on Immunology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Lena Ågren has authored 8 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Endocrinology. Recurrent topics in Lena Ågren's work include Toxin Mechanisms and Immunotoxins (5 papers), Escherichia coli research studies (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Lena Ågren is often cited by papers focused on Toxin Mechanisms and Immunotoxins (5 papers), Escherichia coli research studies (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Lena Ågren collaborates with scholars based in Sweden, Denmark and United Kingdom. Lena Ågren's co-authors include Nils Lycke, Björn Löwenadler, L. Ekman, Lena Ekman, John G. Nedrud, Christina Barnfield, Eva Sverremark‐Ekström, Carmen Fernández, Edmund G. Wee and Peter Liljeström and has published in prestigious journals such as The Journal of Immunology, Journal of General Virology and Protein Engineering Design and Selection.

In The Last Decade

Lena Ågren

8 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lena Ågren Sweden	8	380	166	149	102	75	8	528
Rafaela Giemza United Kingdom	8	242 0.6×	216 1.3×	79 0.5×	161 1.6×	87 1.2×	9	521
Charlotta Bergquist Sweden	8	258 0.7×	94 0.6×	81 0.5×	201 2.0×	66 0.9×	8	505
S Pillai United States	4	279 0.7×	72 0.4×	77 0.5×	67 0.7×	54 0.7×	5	418
Keiko Matano Japan	10	172 0.5×	101 0.6×	110 0.7×	107 1.0×	75 1.0×	13	358
R. Schneerson United States	5	139 0.4×	224 1.3×	174 1.2×	190 1.9×	99 1.3×	5	520
V Giannelli Italy	8	457 1.2×	263 1.6×	293 2.0×	124 1.2×	89 1.2×	8	722
Ian C Metcalfe Switzerland	9	230 0.6×	190 1.1×	58 0.4×	173 1.7×	175 2.3×	9	531
Sarah A. Frech United States	9	371 1.0×	195 1.2×	97 0.7×	253 2.5×	123 1.6×	10	815
Marie-Claude Bonnet France	11	204 0.5×	163 1.0×	28 0.2×	107 1.0×	101 1.3×	15	457
Mohammad Arif Rahman United States	15	230 0.6×	139 0.8×	327 2.2×	122 1.2×	48 0.6×	37	607

Countries citing papers authored by Lena Ågren

Since Specialization

Citations

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

Fields of papers citing papers by Lena Ågren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Ågren

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

All Works

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8 of 8 papers shown

Hanke, Tomáš, Christina Barnfield, Edmund G. Wee, et al.. (2003). Construction and immunogenicity in a prime–boost regimen of a Semliki Forest virus-vectored experimental HIV clade A vaccine. Journal of General Virology. 84(2). 361–368. 46 indexed citations

Ågren, Lena, Eva Sverremark‐Ekström, Lena Ekman, et al.. (2000). The ADP-Ribosylating CTA1-DD Adjuvant Enhances T Cell-Dependent and Independent Responses by Direct Action on B Cells Involving Anti-Apoptotic Bcl-2- and Germinal Center-Promoting Effects. The Journal of Immunology. 164(12). 6276–6286. 50 indexed citations

Ågren, Lena, Martin Norin, Nils Lycke, & Björn Löwenadler. (1999). Hydrophobicity engineering of cholera toxin A1 subunit in the strong adjuvant fusion protein CTA1-DD. Protein Engineering Design and Selection. 12(2). 173–178. 13 indexed citations

Ågren, Lena, Lena Ekman, Björn Löwenadler, John G. Nedrud, & Nils Lycke. (1999). Adjuvanticity of the Cholera Toxin A1-Based Gene Fusion Protein, CTA1-DD, Is Critically Dependent on the ADP-Ribosyltransferase and Ig-Binding Activity. The Journal of Immunology. 162(4). 2432–2440. 81 indexed citations

Ågren, Lena, Björn Löwenadler, & Nils Lycke. (1998). A novel concept in mucosal adjuvanticity: The CTA1‐DD adjuvant is a B cell‐targeted fusion protein that incorporates the enzymatically active cholera toxin A1 subunit. Immunology and Cell Biology. 76(3). 280–287. 32 indexed citations

Ågren, Lena, L. Ekman, Björn Löwenadler, & Nils Lycke. (1997). Genetically engineered nontoxic vaccine adjuvant that combines B cell targeting with immunomodulation by cholera toxin A1 subunit. The Journal of Immunology. 158(8). 3936–3946. 141 indexed citations

Ågren, Lena, et al.. (1997). A genetically engineered non-toxic vaccine adjuvant that combines B cell targeting with immunomodulation by cholera toxin A1 subunit. Immunology Letters. 56. 289–289. 8 indexed citations

Ågren, Lena. (1997). A genetically engineered non-toxic vaccine adjuvant that combines B cell targeting with immunomodulation by cholera toxin A1 subunit. Immunology Letters. 56(1-3). 289–289. 157 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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