Tonya J. Webb

2.2k total citations
65 papers, 1.7k citations indexed

About

Tonya J. Webb is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Tonya J. Webb has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Immunology, 22 papers in Oncology and 12 papers in Molecular Biology. Recurrent topics in Tonya J. Webb's work include Immune Cell Function and Interaction (45 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (15 papers). Tonya J. Webb is often cited by papers focused on Immune Cell Function and Interaction (45 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (15 papers). Tonya J. Webb collaborates with scholars based in United States, Japan and China. Tonya J. Webb's co-authors include Roshanak Derakhshandeh, Mathias Oelke, Laundette P. Jones, Robert Giuntoli, Dominique Bollino, James E. East, Ophelia Rogers, Wenji Sun, David S. Wilkes and Jonathan P. Schneck and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Tonya J. Webb

63 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
Tonya J. Webb United States 21 906 518 490 240 150 65 1.7k
Marc A. Becker Germany 21 1.2k 1.3× 430 0.8× 460 0.9× 170 0.7× 144 1.0× 37 2.0k
Rosalba Sacca United States 16 1.5k 1.7× 615 1.2× 1.1k 2.3× 319 1.3× 147 1.0× 25 2.9k
Torsten Meißner United States 21 1.5k 1.6× 657 1.3× 1.3k 2.6× 339 1.4× 209 1.4× 47 2.8k
William K. Decker United States 22 1.0k 1.1× 975 1.9× 899 1.8× 223 0.9× 255 1.7× 76 2.6k
Yuichi Hirata Japan 19 640 0.7× 461 0.9× 817 1.7× 251 1.0× 277 1.8× 37 2.0k
Hilary Clark United States 12 1.4k 1.6× 816 1.6× 692 1.4× 206 0.9× 150 1.0× 15 2.4k
Ravikumar Muthuswamy United States 24 1.6k 1.8× 958 1.8× 458 0.9× 93 0.4× 129 0.9× 34 2.1k
Sophie Ezine France 20 1.4k 1.6× 410 0.8× 569 1.2× 165 0.7× 86 0.6× 57 2.2k
Stuart Naylor United Kingdom 23 524 0.6× 544 1.1× 952 1.9× 423 1.8× 160 1.1× 32 1.9k
Lee‐Hwa Tai Canada 20 932 1.0× 658 1.3× 361 0.7× 277 1.2× 144 1.0× 48 1.7k

Countries citing papers authored by Tonya J. Webb

Since Specialization
Citations

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

Fields of papers citing papers by Tonya J. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonya J. Webb. 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 Tonya J. Webb. The network helps show where Tonya J. Webb may publish in the future.

Co-authorship network of co-authors of Tonya J. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Tonya J. Webb. A scholar is included among the top collaborators of Tonya J. Webb 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 Tonya J. Webb. Tonya J. Webb 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.
Derakhshandeh, Roshanak, Junxin Li, Rania H. Younis, et al.. (2024). Identification of Functional Immune Biomarkers in Breast Cancer Patients. International Journal of Molecular Sciences. 25(22). 12309–12309.
2.
Singh, Nevil J., et al.. (2020). Thymic resident NKT cell subsets show differential requirements for CD28 co-stimulation during antigenic activation. Scientific Reports. 10(1). 8218–8218. 7 indexed citations
3.
Battin, Claire, et al.. (2019). Generation of a Jurkat-based fluorescent reporter cell line to evaluate lipid antigen interaction with the human iNKT cell receptor. Scientific Reports. 9(1). 7426–7426. 3 indexed citations
4.
Webb, Tonya J., et al.. (2018). The ins and outs of type I iNKT cell development. Molecular Immunology. 105. 116–130. 19 indexed citations
5.
Derakhshandeh, Roshanak, et al.. (2018). Mechanisms of immune evasion in breast cancer. BMC Cancer. 18(1). 556–556. 213 indexed citations
6.
Bollino, Dominique & Tonya J. Webb. (2017). Chimeric antigen receptor–engineered natural killer and natural killer T cells for cancer immunotherapy. Translational research. 187. 32–43. 60 indexed citations
7.
Temkin, Sarah M., Sarah Spiegel, Simeon E. Goldblum, et al.. (2016). VEGF Potentiates GD3-Mediated Immunosuppression by Human Ovarian Cancer Cells. Clinical Cancer Research. 22(16). 4249–4258. 30 indexed citations
8.
Webb, Tonya J., et al.. (2016). Histone deacetylase inhibitors enhance CD1d-dependent NKT cell responses to lymphoma. Cancer Immunology Immunotherapy. 65(11). 1411–1421. 25 indexed citations
9.
East, James E., et al.. (2016). Sphingosine 1-phosphate signaling impacts lymphocyte migration, inflammation and infection. Pathogens and Disease. 74(6). ftw063–ftw063. 37 indexed citations
10.
Webb, Tonya J., Gregory B. Carey, James E. East, et al.. (2016). Alterations in cellular metabolism modulate CD1d-mediated NKT-cell responses. Pathogens and Disease. 74(6). ftw055–ftw055. 26 indexed citations
11.
Bollino, Dominique, et al.. (2016). Immunotherapeutic strategies targeting natural killer T cell responses in cancer. Immunogenetics. 68(8). 623–638. 20 indexed citations
12.
Obata, Fumiko, Priyanka B. Subrahmanyam, Dakshina M. Jandhyala, et al.. (2015). Natural killer T (NKT) cells accelerate Shiga toxin type 2 (Stx2) pathology in mice. Frontiers in Microbiology. 6. 262–262. 4 indexed citations
13.
Webb, Tonya J., Xiangming Li, Robert Giuntoli, et al.. (2012). Molecular Identification of GD3 as a Suppressor of the Innate Immune Response in Ovarian Cancer. Cancer Research. 72(15). 3744–3752. 74 indexed citations
14.
Subrahmanyam, Priyanka B. & Tonya J. Webb. (2012). Boosting the immune response: the use of iNKT cell ligands as vaccine adjuvants. Frontiers in Biology. 7(5). 436–444. 12 indexed citations
15.
East, James E., Wenji Sun, & Tonya J. Webb. (2012). Artificial Antigen Presenting Cell (aAPC) Mediated Activation and Expansion of Natural Killer T Cells. Journal of Visualized Experiments. 15 indexed citations
16.
Sun, Wenji, Priyanka B. Subrahmanyam, James E. East, & Tonya J. Webb. (2012). Connecting the Dots: Artificial Antigen Presenting Cell-Mediated Modulation of Natural Killer T Cells. Journal of Interferon & Cytokine Research. 32(11). 505–516. 10 indexed citations
17.
Yoshida, Satoshi, Azizul Haque, Teruaki Mizobuchi, et al.. (2006). Anti-Type V Collagen Lymphocytes that Express IL-17 and IL-23 Induce Rejection Pathology in Fresh and Well-Healed Lung Transplants. American Journal of Transplantation. 6(4). 724–735. 138 indexed citations
18.
Renukaradhya, Gourapura J., Tonya J. Webb, Masood Alam Khan, et al.. (2005). Virus-Induced Inhibition of CD1d1-Mediated Antigen Presentation: Reciprocal Regulation by p38 and ERK. The Journal of Immunology. 175(7). 4301–4308. 62 indexed citations
19.
Webb, Tonya J., et al.. (2005). The Phenotype and Function of Lung Dendritic Cells. Critical Reviews in Immunology. 25(6). 465–492. 24 indexed citations
20.
Swanson, Kena A., et al.. (2004). Flt3-Ligand, IL-4, GM-CSF, and Adherence-Mediated Isolation of Murine Lung Dendritic Cells: Assessment of Isolation Technique on Phenotype and Function. The Journal of Immunology. 173(8). 4875–4881. 31 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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