Christina Meyer

1.6k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Christina Meyer is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Christina Meyer has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Organic Chemistry. Recurrent topics in Christina Meyer's work include T-cell and B-cell Immunology (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Immune Cell Function and Interaction (4 papers). Christina Meyer is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Immune Cell Function and Interaction (4 papers). Christina Meyer collaborates with scholars based in United States, Japan and Germany. Christina Meyer's co-authors include Yueh‐hsiu Chien, Marc Bonneville, Luigi Notari, S. Patricia Becerra, Junichiro Yamaguchi, Bernhard Wünsch, Dirk Schepmann, Shuichi Yanagisawa, Kenichiro Itami and Marion T. Kasaian and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Annual Review of Immunology.

In The Last Decade

Christina Meyer

15 papers receiving 1.2k citations

Hit Papers

γδT Cells: First Line of Defense and Beyond 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Meyer United States 13 490 422 140 136 130 16 1.2k
Anthony J. Jurewicz United States 14 537 1.1× 356 0.8× 162 1.2× 332 2.4× 75 0.6× 20 1.2k
Sandra Grau United Kingdom 8 376 0.8× 702 1.7× 57 0.4× 136 1.0× 34 0.3× 10 1.2k
Jeffrey D. Hulmes United States 15 276 0.6× 662 1.6× 55 0.4× 123 0.9× 36 0.3× 24 1.0k
John J. Priatel Canada 23 1.4k 2.9× 813 1.9× 108 0.8× 391 2.9× 115 0.9× 44 2.1k
Haiyan Xiao China 21 593 1.2× 679 1.6× 22 0.2× 200 1.5× 71 0.5× 90 1.5k
Ismat Khatri Canada 22 669 1.4× 519 1.2× 128 0.9× 288 2.1× 35 0.3× 62 1.3k
Eric G. Bremer United States 16 394 0.8× 814 1.9× 153 1.1× 172 1.3× 49 0.4× 19 1.5k
Marti F.A. Bierhuizen Netherlands 23 352 0.7× 1.4k 3.3× 223 1.6× 128 0.9× 98 0.8× 39 1.7k
Dirk Spitzer United States 20 351 0.7× 868 2.1× 151 1.1× 116 0.9× 13 0.1× 38 1.4k
Alfonso González‐Noriega Mexico 13 132 0.3× 790 1.9× 179 1.3× 81 0.6× 24 0.2× 28 1.3k

Countries citing papers authored by Christina Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Christina Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Meyer

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

All Works

16 of 16 papers shown
1.
Meyer, Christina, et al.. (2025). A2B adenosine receptor-triggered intracellular calcium mobilization: Cell type-dependent involvement of Gi, Gq, Gs proteins and protein kinase C. Purinergic Signalling. 21(3). 499–513. 1 indexed citations
2.
Shirani, Afsaneh, Scott R. Dalton, Eric J. Avery, et al.. (2021). Lymphomatoid papulosis in a patient treated with glatiramer acetate and the glatiramoid Glatopa for multiple sclerosis: A case report. SHILAP Revista de lepidopterología. 13. 2669581016–2669581016.
3.
Zeng, Xun, Christina Meyer, Jun Huang, et al.. (2014). Gamma delta T cells recognize haptens and mount a hapten-specific response. eLife. 3. e03609–e03609. 23 indexed citations
4.
Chien, Yueh‐hsiu, Christina Meyer, & Marc Bonneville. (2014). γδT Cells: First Line of Defense and Beyond. Annual Review of Immunology. 32(1). 121–155. 474 indexed citations breakdown →
5.
Meyer, Christina, Benedikt Neue, Dirk Schepmann, et al.. (2013). Improvement of σ1 receptor affinity by late-stage C–H-bond arylation of spirocyclic lactones. Bioorganic & Medicinal Chemistry. 21(7). 1844–1856. 100 indexed citations
6.
Meyer, Christina, Dirk Schepmann, Shuichi Yanagisawa, et al.. (2012). Pd-Catalyzed Direct C–H Bond Functionalization of Spirocyclic σ1 Ligands: Generation of a Pharmacophore Model and Analysis of the Reverse Binding Mode by Docking into a 3D Homology Model of the σ1 Receptor. Journal of Medicinal Chemistry. 55(18). 8047–8065. 50 indexed citations
7.
Meyer, Christina, Dirk Schepmann, Shuichi Yanagisawa, et al.. (2012). Late‐Stage C–H Bond Arylation of Spirocyclic σ1 Ligands for Analysis of Complementary σ1 Receptor Surface. European Journal of Organic Chemistry. 2012(30). 5972–5979. 23 indexed citations
8.
Huang, Jun, Christina Meyer, & Cheng Zhu. (2012). T cell antigen recognition at the cell membrane. Molecular Immunology. 52(3-4). 155–164. 34 indexed citations
9.
Meyer, Christina, Benedikt Neue, Dirk Schepmann, et al.. (2011). Exploitation of an additional hydrophobic pocket of σ1 receptors: Late-stage diverse modifications of spirocyclic thiophenes by C–H bond functionalization. Organic & Biomolecular Chemistry. 9(23). 8016–8016. 30 indexed citations
10.
Meyer, Christina, Xun Zeng, & Yueh‐hsiu Chien. (2010). Ligand recognition during thymic development and γδ T cell function specification. Seminars in Immunology. 22(4). 207–213. 16 indexed citations
11.
Notari, Luigi, Victoriano Baladrón, José‐Daniel Aroca‐Aguilar, et al.. (2006). Identification of a Lipase-linked Cell Membrane Receptor for Pigment Epithelium-derived Factor. Journal of Biological Chemistry. 281(49). 38022–38037. 235 indexed citations
12.
Notario, Patricia M., et al.. (2006). Characterization of pigment epithelium‐derived factor receptor (PEDF‐R) using bioinformatics tools. The FASEB Journal. 20(5). 1 indexed citations
13.
Meyer, Christina, Luigi Notari, & S. Patricia Becerra. (2002). Mapping the Type I Collagen-binding Site on Pigment Epithelium-derived Factor. Journal of Biological Chemistry. 277(47). 45400–45407. 124 indexed citations
14.
Appenzeller, Ulrich, Christina Meyer, Günter Menz, Kurt Blaser, & Reto Crameri. (1999). IgE–Mediated Reactions to Autoantigens in Allergic Diseases. International Archives of Allergy and Immunology. 118(2-4). 193–196. 57 indexed citations
15.
Kasaian, Marion T., et al.. (1995). An increased frequency of IgE‐producing B cell precursors contributes to the elevated levels of plasma IgE in atopic subjects. Clinical & Experimental Allergy. 25(8). 749–755. 12 indexed citations
16.
Meyer, Christina, Julian F. Bond, Meng Chen, & Marion T. Kasaian. (1994). Comparison of the levels of the major allergens Der p I and Der p II in standardized extracts of the house dust mite, Dermatophagoides pteronyssinus. Clinical & Experimental Allergy. 24(11). 1041–1048. 62 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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