Lars Karlsson

7.7k total citations
118 papers, 6.3k citations indexed

About

Lars Karlsson is a scholar working on Immunology, Molecular Biology and Spectroscopy. According to data from OpenAlex, Lars Karlsson has authored 118 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Immunology, 25 papers in Molecular Biology and 25 papers in Spectroscopy. Recurrent topics in Lars Karlsson's work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (25 papers) and Analytical Chemistry and Chromatography (22 papers). Lars Karlsson is often cited by papers focused on T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (25 papers) and Analytical Chemistry and Chromatography (22 papers). Lars Karlsson collaborates with scholars based in United States, Sweden and United Kingdom. Lars Karlsson's co-authors include Robin L. Thurmond, Wai‐Ping Fung‐Leung, Paul J. Dunford, Per A. Peterson, Monika Liljedahl, James P. Edwards, Siquan Sun, Christopher Alfonso, Jason P. Riley and Bertrand Huard and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lars Karlsson

116 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Karlsson United States 39 3.3k 1.8k 847 698 537 118 6.3k
Takao Hayakawa Japan 48 1.1k 0.3× 6.1k 3.3× 591 0.7× 158 0.2× 1.4k 2.5× 284 9.2k
Peter Hoffmann Australia 41 1.1k 0.3× 2.5k 1.4× 366 0.4× 87 0.1× 382 0.7× 192 5.4k
Mark S. Baker Australia 42 627 0.2× 2.7k 1.5× 429 0.5× 497 0.7× 606 1.1× 156 5.6k
Rebecca S. Arnold United States 31 1.8k 0.5× 3.0k 1.7× 1.5k 1.8× 190 0.3× 512 1.0× 67 6.0k
Linda O. Narhi United States 45 1.3k 0.4× 5.0k 2.7× 699 0.8× 73 0.1× 608 1.1× 126 7.6k
Zichun Hua China 43 1.1k 0.3× 3.8k 2.1× 416 0.5× 152 0.2× 937 1.7× 300 7.6k
Yoshio Yamauchi Japan 43 1.0k 0.3× 4.4k 2.4× 417 0.5× 60 0.1× 593 1.1× 168 6.6k
Giovanni Candiano Italy 41 852 0.3× 3.1k 1.7× 420 0.5× 156 0.2× 347 0.6× 208 6.3k
Teruna J. Siahaan United States 39 1.1k 0.3× 2.8k 1.5× 142 0.2× 685 1.0× 841 1.6× 199 5.8k
Janne Lehtiö Sweden 46 675 0.2× 5.2k 2.8× 385 0.5× 206 0.3× 795 1.5× 169 7.4k

Countries citing papers authored by Lars Karlsson

Since Specialization
Citations

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

Fields of papers citing papers by Lars Karlsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Karlsson

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

All Works

20 of 20 papers shown
3.
Andersen, Martin, Mikael Boesen, Karen Ellegaard, et al.. (2018). Association between IL-6 production in synovial explants from rheumatoid arthritis patients and clinical and imaging response to biologic treatment: A pilot study. PLoS ONE. 13(5). e0197001–e0197001. 8 indexed citations
4.
Thurmond, Robin L., Bin Chen, Paul J. Dunford, et al.. (2017). Pharmacology and Clinical Activity of Toreforant, a Histamine H 4 Receptor Antagonist. 2(1). 4 indexed citations
5.
Thurmond, Robin L., Bin Chen, Paul J. Dunford, et al.. (2014). Clinical and Preclinical Characterization of the Histamine H4 Receptor Antagonist JNJ-39758979. Journal of Pharmacology and Experimental Therapeutics. 349(2). 176–184. 48 indexed citations
6.
Wiener, John J. M., Steven Nguyen, Siquan Sun, et al.. (2012). Pyrazole-based arylalkyne Cathepsin S inhibitors. Part III: Modification of P4 region. Bioorganic & Medicinal Chemistry Letters. 23(4). 1070–1074. 7 indexed citations
7.
Rao, Navin, Jason P. Riley, Homayon Banie, et al.. (2010). Leukotriene A4 Hydrolase Inhibition Attenuates Allergic Airway Inflammation and Hyperresponsiveness. American Journal of Respiratory and Critical Care Medicine. 181(9). 899–907. 52 indexed citations
8.
Lundeen, Katherine A., Binggang Sun, Lars Karlsson, & Anne M. Fourie. (2006). Leukotriene B4 Receptors BLT1 and BLT2: Expression and Function in Human and Murine Mast Cells. The Journal of Immunology. 177(5). 3439–3447. 101 indexed citations
9.
Chen, Xinjian, et al.. (2006). H2-O Expression in Primary Dendritic Cells. The Journal of Immunology. 176(6). 3548–3556. 30 indexed citations
10.
Dunford, Paul J., et al.. (2006). The Histamine H4 Receptor Mediates Allergic Airway Inflammation by Regulating the Activation of CD4+ T Cells. The Journal of Immunology. 176(11). 7062–7070. 232 indexed citations
11.
Xue, Xiaohua, et al.. (2006). Anti-Inflammatory Activity in Vitro and in Vivo of the Protein Farnesyltransferase Inhibitor Tipifarnib. Journal of Pharmacology and Experimental Therapeutics. 317(1). 53–60. 33 indexed citations
12.
Söderlind, Erik & Lars Karlsson. (2005). Haemolytic activity of maltopyranoside surfactants. European Journal of Pharmaceutics and Biopharmaceutics. 62(3). 254–259. 21 indexed citations
13.
Benlagha, Kamel, Se‐Ho Park, Rodolphe Guinamard, et al.. (2004). Mechanisms Governing B Cell Developmental Defects in Invariant Chain-Deficient Mice. The Journal of Immunology. 172(4). 2076–2083. 17 indexed citations
14.
Thurmond, Robin L., Siquan Sun, Clark A. Sehon, et al.. (2004). Identification of a Potent and Selective Noncovalent Cathepsin S Inhibitor. Journal of Pharmacology and Experimental Therapeutics. 308(1). 268–276. 44 indexed citations
15.
Alfonso, Christopher, et al.. (2003). Analysis of H2-O Influence on Antigen Presentation by B Cells. The Journal of Immunology. 171(5). 2331–2337. 34 indexed citations
16.
Alfonso, Christopher, G. Stuart Williams, & Lars Karlsson. (2003). H2‐O influence on antigen presentation in H2‐E‐expressing mice. European Journal of Immunology. 33(7). 2014–2021. 16 indexed citations
17.
Laur, Oskar, Taku Kambayashi, Shiyong Li, et al.. (2002). Regulated Expression of Human Histocompatibility Leukocyte Antigen (HLA)-DO During Antigen-dependent and Antigen-independent Phases of B Cell Development. The Journal of Experimental Medicine. 195(8). 1053–1062. 65 indexed citations
18.
Alfonso, Christopher, et al.. (2001). The Impact of H2-DM on Humoral Immune Responses. The Journal of Immunology. 167(11). 6348–6355. 29 indexed citations
19.
Camacho, Stephanie A., William R. Heath, Francis R. Carbone, et al.. (2001). A key role for ICAM-1 in generating effector cells mediating inflammatory responses. Nature Immunology. 2(6). 523–529. 66 indexed citations
20.
Liljedahl, Monika, Ola Winqvist, Charles D. Surh, et al.. (1998). Altered Antigen Presentation in Mice Lacking H2-O. Immunity. 8(2). 233–243. 152 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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