Yonghong Wan

6.0k total citations
110 papers, 4.5k citations indexed

About

Yonghong Wan is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Yonghong Wan has authored 110 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Immunology, 49 papers in Oncology and 40 papers in Genetics. Recurrent topics in Yonghong Wan's work include Immunotherapy and Immune Responses (75 papers), Virus-based gene therapy research (39 papers) and CAR-T cell therapy research (36 papers). Yonghong Wan is often cited by papers focused on Immunotherapy and Immune Responses (75 papers), Virus-based gene therapy research (39 papers) and CAR-T cell therapy research (36 papers). Yonghong Wan collaborates with scholars based in Canada, United States and China. Yonghong Wan's co-authors include Jonathan L. Bramson, Jack Gauldie, Brian D. Lichty, Jeanette E. Boudreau, Byram W. Bridle, Kyle B. Stephenson, Frank L. Graham, Andrew Nguyen, Peter Emtage and Karen Mossman and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Yonghong Wan

106 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghong Wan Canada 41 2.4k 1.7k 1.5k 1.5k 477 110 4.5k
Giorgio Napolitani United Kingdom 22 4.7k 1.9× 749 0.4× 1.7k 1.1× 700 0.5× 770 1.6× 39 6.6k
Andrea Gambotto United States 46 2.9k 1.2× 1.3k 0.8× 2.3k 1.5× 1.3k 0.9× 1.1k 2.4× 115 6.3k
Andrew Zloza United States 28 1.3k 0.5× 1.6k 0.9× 1.1k 0.8× 1.3k 0.9× 341 0.7× 83 3.4k
Paul L. Hermonat United States 43 2.1k 0.9× 1.1k 0.6× 2.2k 1.5× 2.4k 1.6× 1.5k 3.1× 129 5.8k
Alessandra Mortellaro Singapore 31 1.3k 0.5× 556 0.3× 2.0k 1.4× 822 0.6× 410 0.9× 55 3.6k
Joanne L. Viney United States 36 3.8k 1.6× 949 0.6× 1.1k 0.7× 769 0.5× 586 1.2× 73 5.7k
Juan José Lasarte Spain 44 2.9k 1.2× 1.8k 1.1× 1.8k 1.2× 386 0.3× 1.2k 2.4× 179 6.2k
Javier A. Carrero United States 32 3.1k 1.3× 569 0.3× 1.5k 1.0× 1.1k 0.7× 1.0k 2.1× 47 5.6k
Linda M. Bradley United States 40 5.2k 2.1× 1.0k 0.6× 1.1k 0.8× 879 0.6× 782 1.6× 97 7.3k
Naomi Taylor France 38 2.0k 0.8× 1.4k 0.8× 1.4k 0.9× 669 0.5× 413 0.9× 104 4.6k

Countries citing papers authored by Yonghong Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yonghong Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghong Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghong Wan. A scholar is included among the top collaborators of Yonghong Wan 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 Yonghong Wan. Yonghong Wan 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.
Walsh, Scott R., Andrew Nguyen, Lan Chen, et al.. (2024). Level of Expression of MHCI-Presented Neoepitopes Influences Tumor Rejection by Neoantigen-Specific CD8+ T Cells. Cancer Immunology Research. 13(1). 84–97.
2.
3.
Nguyen, Andrew, Ramya Krishnan, Donald Bastin, et al.. (2023). HDACi-dependent Microenvironmental Normalization Overcomes Tumor Burden–induced T-cell Exhaustion. Clinical Cancer Research. 29(20). 4289–4305. 2 indexed citations
4.
Walsh, Scott R., et al.. (2020). A rational relationship: Oncolytic virus vaccines as functional partners for adoptive T cell therapy. Cytokine & Growth Factor Reviews. 56. 149–159. 5 indexed citations
5.
Atherton, Matthew J., Kyle B. Stephenson, Jonathan Pol, et al.. (2017). Customized Viral Immunotherapy for HPV-Associated Cancer. Cancer Immunology Research. 5(10). 847–859. 32 indexed citations
6.
7.
Zhang, Yi, Ke Tang, Ruihua Ma, et al.. (2014). Cell-free Tumor Microparticle Vaccines Stimulate Dendritic Cells via cGAS/STING Signaling. Cancer Immunology Research. 3(2). 196–205. 125 indexed citations
8.
McGray, AJ Robert, Robin Hallett, Stephanie L. Swift, et al.. (2013). Immunotherapy-induced CD8+ T Cells Instigate Immune Suppression in the Tumor. Molecular Therapy. 22(1). 206–218. 64 indexed citations
9.
Boudreau, Jeanette E., Aude Bonehill, Kris Thielemans, & Yonghong Wan. (2011). Engineering Dendritic Cells to Enhance Cancer Immunotherapy. Molecular Therapy. 19(5). 841–853. 93 indexed citations
10.
Bridle, Byram W., Jian Li, Shucui Jiang, et al.. (2010). Immunotherapy Can Reject Intracranial Tumor Cells without Damaging the Brain despite Sharing the Target Antigen. The Journal of Immunology. 184(8). 4269–4275. 13 indexed citations
11.
Grinshtein, Natalie, Byram W. Bridle, Yonghong Wan, & Jonathan L. Bramson. (2009). Neoadjuvant Vaccination Provides Superior Protection against Tumor Relapse following Surgery Compared with Adjuvant Vaccination. Cancer Research. 69(9). 3979–3985. 24 indexed citations
12.
McCormick, Sarah, Michael Santosuosso, Cherrie-Lee Small, et al.. (2008). Mucosally Delivered Dendritic Cells Activate T Cells Independently of IL-12 and Endogenous APCs. The Journal of Immunology. 181(4). 2356–2367. 13 indexed citations
13.
14.
Yang, Ping‐Chang, et al.. (2007). Antigen Presentation by Exosomes Released from Peptide-Pulsed Dendritic Cells Is not Suppressed by the Presence of Active CTL. The Journal of Immunology. 179(8). 5024–5032. 113 indexed citations
15.
Лу, Л., Caleb C. J. Zavitz, Biao Chen, et al.. (2007). Cigarette Smoke Impairs NK Cell-Dependent Tumor Immune Surveillance. The Journal of Immunology. 178(2). 936–943. 74 indexed citations
16.
Millar, James, Natalie Grinshtein, Robin Parsons, et al.. (2006). The CD8+ T Cell Population Elicited by Recombinant Adenovirus Displays a Novel Partially Exhausted Phenotype Associated with Prolonged Antigen Presentation That Nonetheless Provides Long-Term Immunity. The Journal of Immunology. 176(1). 200–210. 76 indexed citations
17.
Zganiacz, Anna, Michael Santosuosso, Jun Wang, et al.. (2004). TNF-α is a critical negative regulator of type 1 immune activation during intracellular bacterial infection. Journal of Clinical Investigation. 113(3). 401–413. 170 indexed citations
18.
Trachtenberg, John, Ants Toi, Joan Sweet, et al.. (2003). A phase I trial of adenovector-mediated delivery of interleukin-2 (AdIL-2) in high-risk localized prostate cancer. Cancer Gene Therapy. 10(10). 755–763. 47 indexed citations
19.
Wan, Yonghong, Л. Лу, Jonathan L. Bramson, et al.. (2001). Dendritic Cell-Derived IL-12 Is Not Required for the Generation of Cytotoxic, IFN-γ-Secreting, CD8+ CTL In Vivo. The Journal of Immunology. 167(9). 5027–5033. 37 indexed citations
20.
Freeswick, Paul D., Yonghong Wan, David A. Geller, Andreas K. Nüssler, & Timothy R. Billiar. (1994). Remote Tissue Injury Primes Hepatocytes for Nitric Oxide Synthesis. Journal of Surgical Research. 57(1). 205–209. 19 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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