Amy Wesa

2.4k total citations
35 papers, 1.9k citations indexed

About

Amy Wesa is a scholar working on Immunology, Oncology and Biomedical Engineering. According to data from OpenAlex, Amy Wesa has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 17 papers in Oncology and 6 papers in Biomedical Engineering. Recurrent topics in Amy Wesa's work include Immunotherapy and Immune Responses (23 papers), Immune Cell Function and Interaction (13 papers) and T-cell and B-cell Immunology (13 papers). Amy Wesa is often cited by papers focused on Immunotherapy and Immune Responses (23 papers), Immune Cell Function and Interaction (13 papers) and T-cell and B-cell Immunology (13 papers). Amy Wesa collaborates with scholars based in United States, Japan and Italy. Amy Wesa's co-authors include Anne Galy, Walter J. Storkus, Stefania Canova, Giorgio Parmiani, Emilio Bajetta, Michele Del Vecchio, Michael T. Lotze, Andrea Anichini, Paweł Kaliński and John M. Kirkwood and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Amy Wesa

30 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Wesa United States 21 1.3k 711 494 189 92 35 1.9k
Carl E. Ruby United States 22 1.0k 0.8× 685 1.0× 488 1.0× 163 0.9× 54 0.6× 33 1.7k
José A. Guevara-Patiño United States 24 1.7k 1.3× 809 1.1× 522 1.1× 162 0.9× 51 0.6× 54 2.2k
Juan Dubrot Spain 25 1.4k 1.1× 841 1.2× 525 1.1× 153 0.8× 55 0.6× 45 2.1k
Håkan Norell Sweden 23 1.7k 1.3× 1.0k 1.4× 463 0.9× 123 0.7× 65 0.7× 26 2.2k
Wendy K. Nevala United States 23 810 0.6× 705 1.0× 624 1.3× 217 1.1× 83 0.9× 67 1.8k
Yoshihiro Miyahara Japan 21 1.3k 1.0× 839 1.2× 488 1.0× 118 0.6× 180 2.0× 61 1.9k
Alfonso R. Sánchez-Paulete Spain 21 1.5k 1.1× 1.3k 1.8× 402 0.8× 176 0.9× 162 1.8× 27 2.1k
Mercedes López Chile 25 1.0k 0.8× 627 0.9× 626 1.3× 71 0.4× 93 1.0× 63 1.8k
Andrea Tuettenberg Germany 21 1.8k 1.4× 555 0.8× 452 0.9× 145 0.8× 88 1.0× 53 2.4k
Sandra Van Lint Belgium 23 1.1k 0.8× 592 0.8× 871 1.8× 248 1.3× 188 2.0× 30 1.6k

Countries citing papers authored by Amy Wesa

Since Specialization
Citations

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

Fields of papers citing papers by Amy Wesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Wesa

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Wesa. A scholar is included among the top collaborators of Amy Wesa 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 Amy Wesa. Amy Wesa 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.
Kaushik, Garima, et al.. (2022). Preclinical In Vitro and In Vivo Models for Adoptive Cell Therapy of Cancer. The Cancer Journal. 28(4). 257–262. 4 indexed citations
2.
Kaushik, Garima & Amy Wesa. (2021). 4 3D Coculture platform reveals insights into patient autologous immune cell-tumor interaction and immune modulation in vitro. SHILAP Revista de lepidopterología. A4–A4. 1 indexed citations
3.
Weidanz, Jon A., et al.. (2020). Abstract 5046: Natural Killer (NK) human immune system (HIS) immunograft platform to evaluate the pharmacodynamics of immuno-oncology therapeutics. Cancer Research. 80(16_Supplement). 5046–5046. 1 indexed citations
4.
Wesa, Amy, Maja Mandić, Jennifer L. Taylor, et al.. (2014). Circulating Type-1 Anti-Tumor CD4+T Cells are Preferentially Pro-Apoptotic in Cancer Patients. Frontiers in Oncology. 4. 266–266. 17 indexed citations
5.
Balducci, Anthony, Yi Wen, Yang Zhang, et al.. (2013). A novel probe for the non-invasive detection of tumor-associated inflammation. OncoImmunology. 2(2). e23034–e23034. 89 indexed citations
6.
Balducci, Anthony, Yi Wen, Yang Zhang, et al.. (2013). Abstract A48: Novel dual mode fluorine MRI, NIR fluorescent probe for noninvasive detection of tumor-associated inflammation.. Cancer Research. 73(1_Supplement). A48–A48. 1 indexed citations
7.
Balducci, Anthony, et al.. (2012). Visualizing arthritic inflammation and therapeutic response by fluorine-19 magnetic resonance imaging (19F MRI). Journal of Inflammation. 9(1). 24–24. 39 indexed citations
8.
9.
Lipscomb, Michael W., Lu Chen, Jennifer L. Taylor, et al.. (2009). Ectopic T-bet Expression Licenses Dendritic Cells for IL-12-Independent Priming of Type 1 T Cells In Vitro. The Journal of Immunology. 183(11). 7250–7258. 30 indexed citations
10.
Komita, Hideo, Jennifer L. Taylor, Louis J. Sparvero, et al.. (2008). CD8+ T-Cell Responses against Hemoglobin-β Prevent Solid Tumor Growth. Cancer Research. 68(19). 8076–8084. 23 indexed citations
11.
Gigante, Margherita, Maja Mandić, Amy Wesa, et al.. (2008). Interferon-alpha (IFN-α)–conditioned DC Preferentially Stimulate Type-1 and Limit Treg-type In Vitro T-cell Responses From RCC Patients. Journal of Immunotherapy. 31(3). 254–262. 40 indexed citations
12.
Sasaki, Kotaro, Xinmei Zhu, Fumihiko Nishimura, et al.. (2007). Preferential Expression of Very Late Antigen-4 on Type 1 CTL Cells Plays a Critical Role in Trafficking into Central Nervous System Tumors. Cancer Research. 67(13). 6451–6458. 49 indexed citations
13.
Wesa, Amy & Walter J. Storkus. (2007). Killer dendritic cells: mechanisms of action and therapeutic implications for cancer. Cell Death and Differentiation. 15(1). 51–57. 29 indexed citations
14.
Storkus, Walter J., et al.. (2007). Improving Immunotherapy by Conditionally Enhancing MHC Class I Presentation of Tumor Antigen-Derived Peptide Epitopes. Critical Reviews in Immunology. 27(5). 485–493. 8 indexed citations
15.
Wesa, Amy, Paweł Kaliński, John M. Kirkwood, Tomohide Tatsumi, & Walter J. Storkus. (2006). Polarized Type-1 Dendritic Cells (DC1) Producing High Levels of IL-12 Family Members Rescue Patient TH1-type Antimelanoma CD4+ T cell Responses In Vitro. Journal of Immunotherapy. 30(1). 75–82. 67 indexed citations
16.
Diveu, Caroline, Eric Lelièvre, David Perret, et al.. (2003). GPL, a Novel Cytokine Receptor Related to GP130 and Leukemia Inhibitory Factor Receptor. Journal of Biological Chemistry. 278(50). 49850–49859. 60 indexed citations
17.
18.
Wesa, Amy & Anne Galy. (2001). Regulation of T Cell Cytokine Production by Dendritic Cells Generated in Vitro from Hematopoietic Progenitor Cells. Cellular Immunology. 208(2). 115–124. 12 indexed citations
19.
Wesa, Amy & Anne Galy. (2001). IL-1β induces dendritic cells to produce IL-12. International Immunology. 13(8). 1053–1061. 98 indexed citations
20.
Ferlazzo, Guido, Amy Wesa, Wei‐Zen Wei, & Anne Galy. (1999). Dendritic Cells Generated Either from CD34+ Progenitor Cells or from Monocytes Differ in Their Ability to Activate Antigen-Specific CD8+ T Cells. The Journal of Immunology. 163(7). 3597–3604. 91 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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