Thomas J. Gardner

1.9k total citations
46 papers, 1.2k citations indexed

About

Thomas J. Gardner is a scholar working on Epidemiology, Oncology and Immunology. According to data from OpenAlex, Thomas J. Gardner has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Oncology and 11 papers in Immunology. Recurrent topics in Thomas J. Gardner's work include Cytomegalovirus and herpesvirus research (11 papers), Herpesvirus Infections and Treatments (10 papers) and CAR-T cell therapy research (9 papers). Thomas J. Gardner is often cited by papers focused on Cytomegalovirus and herpesvirus research (11 papers), Herpesvirus Infections and Treatments (10 papers) and CAR-T cell therapy research (9 papers). Thomas J. Gardner collaborates with scholars based in United States, Germany and Italy. Thomas J. Gardner's co-authors include Domenico Tortorella, Vanessa M. Noriega, Veronika Redmann, Brian H. Hill, Alessia Baccarini, Brian D. Brown, Anitha D. Jayaprakash, Ravi Sachidanandam, Matthew S. Miller and Lauren C. Aguado and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Thomas J. Gardner

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Gardner United States 19 433 310 305 194 156 46 1.2k
Chris Stubben United States 17 155 0.4× 408 1.3× 147 0.5× 117 0.6× 194 1.2× 31 1.7k
Tomomi Kato Japan 23 189 0.4× 542 1.7× 405 1.3× 121 0.6× 171 1.1× 71 1.7k
Akira Nishikawa Japan 21 186 0.4× 520 1.7× 90 0.3× 153 0.8× 274 1.8× 57 1.4k
Simone Schmid Germany 27 188 0.4× 650 2.1× 233 0.8× 67 0.3× 138 0.9× 63 2.0k
Maude E. Phipps Malaysia 21 98 0.2× 453 1.5× 286 0.9× 504 2.6× 121 0.8× 60 1.6k
Mohammad Alavi United States 17 218 0.5× 425 1.4× 106 0.3× 109 0.6× 162 1.0× 29 1.0k
Victoria Bowes Canada 20 327 0.8× 325 1.0× 501 1.6× 84 0.4× 252 1.6× 38 1.6k
Augusto Ferrari Italy 28 164 0.4× 307 1.0× 170 0.6× 158 0.8× 151 1.0× 115 2.3k
Ying Zhu China 20 179 0.4× 956 3.1× 251 0.8× 662 3.4× 364 2.3× 121 2.1k
Anna N. Walker United States 21 459 1.1× 215 0.7× 108 0.4× 60 0.3× 369 2.4× 67 1.3k

Countries citing papers authored by Thomas J. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Gardner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Gardner. A scholar is included among the top collaborators of Thomas J. Gardner 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 Thomas J. Gardner. Thomas J. Gardner 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.
Landon, Mark B., Irene Scarfò, Michelle Nguyen, et al.. (2024). Development of AB-2100, an autologous integrated circuit T (ICT) cell therapy targeting CA9 intended for the treatment of ccRCC.. Journal of Clinical Oncology. 42(4_suppl). 472–472. 1 indexed citations
2.
Dacek, Megan M., et al.. (2023). Potentiating antibody-dependent killing of cancers with CAR T cells secreting CD47-SIRPα checkpoint blocker. Blood. 141(16). 2003–2015. 29 indexed citations
3.
Bourne, Christopher M., Megan M. Dacek, Thomas J. Gardner, et al.. (2023). Host Interactions with Engineered T-cell Micropharmacies. Cancer Immunology Research. 11(9). 1253–1265. 3 indexed citations
4.
Peraro, Leila, Tatyana Korontsvit, Thomas J. Gardner, et al.. (2023). Dual targeting ovarian cancer by Muc16 CAR T cells secreting a bispecific T cell engager antibody for an intracellular tumor antigen WT1. Cancer Immunology Immunotherapy. 72(11). 3773–3786. 20 indexed citations
5.
Gardner, Thomas J., Steven M. Kwasny, Steven C. Cardinale, et al.. (2022). Investigating N-arylpyrimidinamine (NAPA) compounds as early-stage inhibitors against human cytomegalovirus. Antiviral Research. 209. 105474–105474. 3 indexed citations
6.
Gardner, Thomas J., Christopher M. Bourne, Dinali Wijewarnasuriya, et al.. (2021). Engineering CAR-T cells to activate small-molecule drugs in situ. Nature Chemical Biology. 18(2). 216–225. 58 indexed citations
7.
Schwarz, Toni M., et al.. (2016). The Microtubule Inhibitor Podofilox Inhibits an Early Entry Step of Human Cytomegalovirus. Viruses. 8(10). 295–295. 17 indexed citations
8.
Gardner, Thomas J., et al.. (2016). Human cytomegalovirus gH stability and trafficking are regulated by ER-associated degradation and transmembrane architecture. Scientific Reports. 6(1). 23692–23692. 8 indexed citations
9.
Gardner, Thomas J., J. Andrew Duty, Toni M. Schwarz, et al.. (2016). Functional screening for anti-CMV biologics identifies a broadly neutralizing epitope of an essential envelope protein. Nature Communications. 7(1). 13627–13627. 20 indexed citations
10.
Noriega, Vanessa M., Thomas J. Gardner, Veronika Redmann, et al.. (2014). Human Cytomegalovirus US28 Facilitates Cell-to-Cell Viral Dissemination. Viruses. 6(3). 1202–1218. 42 indexed citations
11.
Noriega, Vanessa M., et al.. (2012). Human cytomegalovirus US3 modulates destruction of MHC class I molecules. Molecular Immunology. 51(2). 245–253. 33 indexed citations
12.
Noriega, Vanessa M., Veronika Redmann, Thomas J. Gardner, & Domenico Tortorella. (2012). Diverse immune evasion strategies by human cytomegalovirus. Immunologic Research. 54(1-3). 140–151. 96 indexed citations
13.
Baccarini, Alessia, et al.. (2011). Kinetic Analysis Reveals the Fate of a MicroRNA following Target Regulation in Mammalian Cells. Current Biology. 21(5). 369–376. 189 indexed citations
14.
Wenzlau, Janet M., Thomas J. Gardner, Lisa M. Frisch, Howard W. Davidson, & John C. Hutton. (2011). Development of a novel autoantibody assay for autoimmune gastritis in type 1 diabetic individuals. Diabetes/Metabolism Research and Reviews. 27(8). 887–890. 15 indexed citations
15.
Wenzlau, Janet M., Lisa M. Frisch, Thomas J. Gardner, et al.. (2009). Novel antigens in type 1 diabetes: The importance of ZnT8. Current Diabetes Reports. 9(2). 105–112. 48 indexed citations
16.
Gardner, Thomas J., et al.. (2001). Criminal evidence : principles and cases. 13 indexed citations
17.
Hill, Brian H., et al.. (1992). Benthic organic matter dynamics in Texas prairie streams. Hydrobiologia. 242(1). 1–5. 11 indexed citations
18.
Gardner, Thomas J., et al.. (1992). Criminal Law: Principles and Cases. Medical Entomology and Zoology. 3 indexed citations
19.
Green, William J., et al.. (1989). Geochemical processes in the Lake Fryxell Basin (Victoria Land, Antarctica). Hydrobiologia. 172(1). 129–148. 37 indexed citations
20.
Gardner, Thomas J., et al.. (1975). Criminal law : principles, cases, and readings. West Pub. Co. eBooks. 2 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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