Bernhard Moser

32.0k total citations · 11 hit papers
128 papers, 24.0k citations indexed

About

Bernhard Moser is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bernhard Moser has authored 128 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Immunology, 61 papers in Oncology and 20 papers in Molecular Biology. Recurrent topics in Bernhard Moser's work include T-cell and B-cell Immunology (64 papers), Immunotherapy and Immune Responses (60 papers) and Chemokine receptors and signaling (51 papers). Bernhard Moser is often cited by papers focused on T-cell and B-cell Immunology (64 papers), Immunotherapy and Immune Responses (60 papers) and Chemokine receptors and signaling (51 papers). Bernhard Moser collaborates with scholars based in Switzerland, United Kingdom and Canada. Bernhard Moser's co-authors include Marco Baggiolini, Pius Loetscher, Béatrice Dewald, Ian Clark‐Lewis, Marcel Loetscher, Katharina Willimann, Patrick Schaerli, Charles R. Mackay, Daniel F. Legler and Marlène Brandes and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Bernhard Moser

128 papers receiving 23.5k citations

Hit Papers

Interleukin-8 and related chemotactic cytokines--CXC and ... 1994 2026 2004 2015 1994 1997 1996 1998 1996 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernhard Moser Switzerland 69 16.6k 10.7k 3.8k 2.7k 2.1k 128 24.0k
Amanda E. I. Proudfoot Switzerland 79 11.3k 0.7× 8.1k 0.8× 5.6k 1.5× 2.6k 1.0× 2.1k 1.0× 221 20.6k
Thomas J. Schall United States 75 15.7k 0.9× 10.3k 1.0× 4.3k 1.1× 3.1k 1.2× 3.5k 1.7× 185 25.8k
Barrett J. Rollins United States 71 10.8k 0.7× 8.0k 0.7× 6.0k 1.6× 2.2k 0.8× 1.9k 0.9× 126 23.0k
Martin Lipp Germany 71 20.5k 1.2× 7.6k 0.7× 5.1k 1.3× 1.1k 0.4× 1.5k 0.7× 190 27.2k
Osamu Yoshie Japan 86 18.4k 1.1× 12.8k 1.2× 6.4k 1.7× 3.8k 1.4× 991 0.5× 306 30.4k
René A. W. van Lier Netherlands 85 16.4k 1.0× 4.2k 0.4× 3.3k 0.9× 1.2k 0.5× 1.7k 0.8× 350 22.7k
Silvano Sozzani Italy 95 25.7k 1.5× 12.6k 1.2× 10.6k 2.8× 3.2k 1.2× 1.5k 0.7× 314 41.1k
Leonard D. Shultz United States 92 14.0k 0.8× 7.9k 0.7× 10.5k 2.8× 1.0k 0.4× 1.0k 0.5× 452 32.2k
Hergen Spits Netherlands 97 29.3k 1.8× 7.6k 0.7× 5.6k 1.5× 2.2k 0.8× 776 0.4× 336 39.1k
Albert Zlotnik United States 87 25.6k 1.5× 16.9k 1.6× 7.6k 2.0× 4.0k 1.5× 718 0.3× 213 40.5k

Countries citing papers authored by Bernhard Moser

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Moser

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Moser. A scholar is included among the top collaborators of Bernhard Moser 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 Bernhard Moser. Bernhard Moser 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
1.
Tyler, Christopher J., Simone Cuff, Robert Andrews, et al.. (2024). IL-21 conditions antigen-presenting human γδ T-cells to promote IL-10 expression in naïve and memory CD4+ T-cells. PubMed. 3(1). kyae008–kyae008. 3 indexed citations
2.
Moser, Bernhard, et al.. (2021). Chemokine Pathways in Cutaneous Melanoma: Their Modulation by Cancer and Exploitation by the Clinician. Cancers. 13(22). 5625–5625. 8 indexed citations
3.
Collins, Paul J., Mieke Metzemaekers, Max Meyrath, et al.. (2020). CXCL14 Preferentially Synergizes With Homeostatic Chemokine Receptor Systems. Frontiers in Immunology. 11. 561404–561404. 22 indexed citations
4.
Tyler, Christopher J., Neil E. McCarthy, James O. Lindsay, et al.. (2017). Antigen-Presenting Human γδ T Cells Promote Intestinal CD4+ T Cell Expression of IL-22 and Mucosal Release of Calprotectin. The Journal of Immunology. 198(9). 3417–3425. 50 indexed citations
5.
McCully, Michelle L., Paul J. Collins, Timothy R. Hughes, et al.. (2015). Skin Metabolites Define a New Paradigm in the Localization of Skin Tropic Memory T Cells. The Journal of Immunology. 195(1). 96–104. 19 indexed citations
6.
Moser, Bernhard. (2015). CXCR5, the Defining Marker for Follicular B Helper T (TFH) Cells. Frontiers in Immunology. 6. 296–296. 64 indexed citations
7.
Ondondo, Beatrice, Emily J. Colbeck, Emma Jones, et al.. (2014). A distinct chemokine axis does not account for enrichment of Foxp3+ CD4+ T cells in carcinogen‐induced fibrosarcomas. Immunology. 145(1). 94–104. 9 indexed citations
8.
Morita, Craig T., Ki‐Hoan Nam, Akbar M. Siddiqui, et al.. (2012). Innate memory of human Vγ2Vδ2 T cells: Distinct proliferative, migratory and tumorcidal capabilities of γδ memory subsets (52.17). The Journal of Immunology. 188(1_Supplement). 52.17–52.17. 1 indexed citations
9.
Brandes, Marlène, Katharina Willimann, & Bernhard Moser. (2005). Professional Antigen-Presentation Function by Human γδ T Cells. Science. 309(5732). 264–268. 563 indexed citations breakdown →
10.
Schaerli, Patrick, Katharina Willimann, Lisa M. Ebert, Alfred Walz, & Bernhard Moser. (2005). Cutaneous CXCL14 Targets Blood Precursors to Epidermal Niches for Langerhans Cell Differentiation. Immunity. 23(3). 331–342. 118 indexed citations
11.
Schaerli, Patrick, Markus Britschgi, Monika Keller, et al.. (2004). Characterization of Human T Cells That Regulate Neutrophilic Skin Inflammation. The Journal of Immunology. 173(3). 2151–2158. 126 indexed citations
12.
Schaerli, Patrick, et al.. (2004). A Skin-selective Homing Mechanism for Human Immune Surveillance T Cells. The Journal of Experimental Medicine. 199(9). 1265–1275. 165 indexed citations
13.
Schaerli, Patrick, Pius Loetscher, & Bernhard Moser. (2001). Cutting Edge: Induction of Follicular Homing Precedes Effector Th Cell Development. The Journal of Immunology. 167(11). 6082–6086. 79 indexed citations
14.
Moser, Bernhard, Marcel Loetscher, Luca Piali, & Pius Loetscher. (1998). Lymphocyte Responses to Chemokines. International Reviews of Immunology. 16(3-4). 323–344. 75 indexed citations
15.
Legler, Daniel F., et al.. (1998). B Cell–attracting Chemokine 1, a Human CXC Chemokine Expressed in Lymphoid Tissues, Selectively Attracts B Lymphocytes via BLR1/CXCR5. The Journal of Experimental Medicine. 187(4). 655–660. 673 indexed citations breakdown →
16.
Loetscher, Marcel, Basil O. Gerber, Pius Loetscher, et al.. (1996). Chemokine receptor specific for IP10 and mig: structure, function, and expression in activated T-lymphocytes.. The Journal of Experimental Medicine. 184(3). 963–969. 1041 indexed citations breakdown →
18.
Thomas, K., L. Taylor, José R. Romero, et al.. (1994). Functional and ligand binding specificity of the rabbit neutrophil IL-8 receptor.. The Journal of Immunology. 152(5). 2496–2500. 9 indexed citations
20.
Langsford, M. L., Neil R. Gilkes, Bhagirath Singh, et al.. (1987). Glycosylation of bacterial cellulases prevents proteolytic cleavage between functional domains. FEBS Letters. 225(1-2). 163–167. 131 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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