Stephen B. Gauld

2.3k total citations
40 papers, 1.8k citations indexed

About

Stephen B. Gauld is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Stephen B. Gauld has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 10 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in Stephen B. Gauld's work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (11 papers) and Psoriasis: Treatment and Pathogenesis (9 papers). Stephen B. Gauld is often cited by papers focused on T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (11 papers) and Psoriasis: Treatment and Pathogenesis (9 papers). Stephen B. Gauld collaborates with scholars based in United States, United Kingdom and Thailand. Stephen B. Gauld's co-authors include John C. Cambier, Kevin T. Merrell, Joseph M. Dal Porto, Robert J. Benschop, Barbara J. Vilen, Steven Leonardo, Katja Aviszus, Lawrence J. Wysocki, Débora Decotè-Ricardo and Vera L. Tarakanova and has published in prestigious journals such as Science, Blood and Immunity.

In The Last Decade

Stephen B. Gauld

40 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen B. Gauld United States 21 1.2k 361 296 219 203 40 1.8k
Chen‐Feng Qi United States 22 1.6k 1.3× 625 1.7× 544 1.8× 78 0.4× 137 0.7× 57 2.4k
Martin Hafner Germany 13 786 0.6× 643 1.8× 203 0.7× 206 0.9× 103 0.5× 17 1.8k
András Schaffer United States 23 1.1k 0.9× 696 1.9× 422 1.4× 126 0.6× 153 0.8× 44 2.2k
Timothy R. Hercus Australia 24 1.1k 0.9× 454 1.3× 458 1.5× 183 0.8× 103 0.5× 39 1.8k
Tim Vanden Bos Canada 12 1.2k 1.0× 630 1.7× 482 1.6× 287 1.3× 89 0.4× 13 2.0k
Sarah E. Bell United Kingdom 21 1.5k 1.2× 1.3k 3.5× 345 1.2× 112 0.5× 262 1.3× 29 2.9k
Fiona M. McConnell United Kingdom 26 2.2k 1.8× 506 1.4× 343 1.2× 195 0.9× 60 0.3× 44 2.8k
Naoko Nakano Japan 13 1.3k 1.0× 408 1.1× 525 1.8× 121 0.6× 51 0.3× 26 1.9k
Erdyni N. Tsitsikov United States 21 1.3k 1.0× 545 1.5× 285 1.0× 77 0.4× 64 0.3× 39 1.9k
Steve Ruben United States 16 881 0.7× 612 1.7× 365 1.2× 132 0.6× 44 0.2× 17 1.7k

Countries citing papers authored by Stephen B. Gauld

Since Specialization
Citations

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

Fields of papers citing papers by Stephen B. Gauld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen B. Gauld. 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 Stephen B. Gauld. The network helps show where Stephen B. Gauld may publish in the future.

Co-authorship network of co-authors of Stephen B. Gauld

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen B. Gauld. A scholar is included among the top collaborators of Stephen B. Gauld 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 Stephen B. Gauld. Stephen B. Gauld 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.
Lipovsky, Alex, Peter F. Slivka, Zhi Su, et al.. (2021). ACT1 Is Required for Murine IL-23–Induced Psoriasiform Inflammation Potentially Independent of E3 Ligase Activity. Journal of Investigative Dermatology. 141(7). 1772–1779.e6. 5 indexed citations
2.
Kannan, Arun, Zhi Su, Donna M. Gauvin, et al.. (2019). IL-23 induces regulatory T cell plasticity with implications for inflammatory skin diseases. Scientific Reports. 9(1). 17675–17675. 46 indexed citations
3.
Zhou, Li, et al.. (2019). 394 IL-23 Antibodies in Psoriasis – a Non-Clinical Perspective. Journal of Investigative Dermatology. 139(9). S282–S282. 4 indexed citations
4.
Wang, Yibing, Rebecca M. Edelmayer, Donna M. Gauvin, et al.. (2017). Macrophages play a pathogenic role in IL-23 mediated psoriasiform skin inflammation. The Journal of Immunology. 198(Supplement_1). 127.11–127.11. 3 indexed citations
5.
Kannan, Arun, Zhi Su, Donna M. Gauvin, et al.. (2017). IL-23 induces regulatory T cell plasticity with implications for inflammatory skin diseases.. The Journal of Immunology. 198(Supplement_1). 220.13–220.13. 7 indexed citations
6.
Bausch-Jurken, Mary T., et al.. (2017). The Use of Salmonella Typhim Vaccine to Diagnose Antibody Deficiency. Journal of Clinical Immunology. 37(5). 427–433. 23 indexed citations
7.
Scott, Victoria, J. Wetter, Torben R. Neelands, et al.. (2016). 534 Defining a mechanistic link between TRPV3 activity and psoriasis through IL-1α and EGFR signaling pathways. Journal of Investigative Dermatology. 136(5). S94–S94. 5 indexed citations
8.
Olteanu, Horatiu, Avijit Ray, Gang Xin, et al.. (2015). Tumor Suppressor Interferon-Regulatory Factor 1 Counteracts the Germinal Center Reaction Driven by a Cancer-Associated Gammaherpesvirus. Journal of Virology. 90(6). 2818–2829. 27 indexed citations
9.
Allen, Kenneth P., et al.. (2012). Comparison of methods to control floor contamination in an animal research facility. Lab Animal. 41(10). 282–288. 8 indexed citations
10.
O’Neill, Shannon, Andrew Getahun, Stephen B. Gauld, et al.. (2011). Monophosphorylation of CD79a and CD79b ITAM Motifs Initiates a SHIP-1 Phosphatase-Mediated Inhibitory Signaling Cascade Required for B Cell Anergy. Immunity. 35(5). 746–756. 127 indexed citations
11.
Chan, Marcia A., et al.. (2010). CD23-mediated cell signaling in human B cells differs from signaling in cells of the monocytic lineage. Clinical Immunology. 137(3). 330–336. 21 indexed citations
12.
Tarakanova, Vera L., et al.. (2010). Conserved gammaherpesvirus kinase and histone variant H2AX facilitate gammaherpesvirus latency in vivo. Virology. 405(1). 50–61. 40 indexed citations
13.
Leonardo, Steven, et al.. (2010). Altered B Cell Development and Anergy in the Absence of Foxp3. The Journal of Immunology. 185(4). 2147–2156. 32 indexed citations
14.
Leonardo, Steven, et al.. (2009). Fluorescence-based assays as tools for understanding immunologic processes. Annals of Allergy Asthma & Immunology. 102(1). 84–90. 1 indexed citations
15.
Brauweiler, Anne, Kevin T. Merrell, Stephen B. Gauld, & John C. Cambier. (2007). Cutting Edge: Acute and Chronic Exposure of Immature B Cells to Antigen Leads to Impaired Homing and SHIP1-Dependent Reduction in Stromal Cell-Derived Factor-1 Responsiveness. The Journal of Immunology. 178(6). 3353–3357. 29 indexed citations
16.
Velez, Maria-Gabriela, Melissa Kane, Sucai Liu, et al.. (2007). Ig Allotypic Inclusion Does Not Prevent B Cell Development or Response. The Journal of Immunology. 179(2). 1049–1057. 30 indexed citations
17.
Cambier, John C., Stephen B. Gauld, Kevin T. Merrell, & Barbara J. Vilen. (2007). B-cell anergy: from transgenic models to naturally occurring anergic B cells?. Nature reviews. Immunology. 7(8). 633–643. 261 indexed citations
18.
Gauld, Stephen B. & John C. Cambier. (2004). Src-family kinases in B-cell development and signaling. Oncogene. 23(48). 8001–8006. 115 indexed citations
19.
20.
Pollock, Valerie P., et al.. (2000). Selective down-regulation of the Cqα/G11α G-protein family in tumour necrosis factor-α induced cell death. Molecular and Cellular Biochemistry. 206(1-2). 67–74. 18 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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