Nathan Wong

3.1k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Nathan Wong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Nathan Wong has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Nathan Wong's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Nathan Wong is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Nathan Wong collaborates with scholars based in United States, Germany and China. Nathan Wong's co-authors include Xiaowei Wang, Weijun Liu, Shuai Chen, Yuhao Chen, Muhammad S. Alam, James S. Lewis, Matthias M. Gaida, Hiram A. Gay, Jonathan D. Ashwell and Shariq S. Khwaja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Nathan Wong

18 papers receiving 2.2k citations

Hit Papers

miRDB: an online resource for microRNA target prediction ... 2014 2026 2018 2022 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Wong United States 12 1.7k 1.3k 252 206 137 18 2.2k
Florian Kuchenbauer Germany 25 2.4k 1.4× 1.6k 1.2× 497 2.0× 263 1.3× 84 0.6× 81 3.4k
Daniel Muth Germany 9 1.9k 1.1× 1.6k 1.2× 136 0.5× 324 1.6× 82 0.6× 10 2.4k
Philippe Couttet Switzerland 16 1.5k 0.9× 1.2k 0.9× 522 2.1× 198 1.0× 56 0.4× 23 2.3k
Yongyan Wu China 28 1.5k 0.9× 729 0.5× 183 0.7× 229 1.1× 136 1.0× 78 2.0k
Yi Tie China 21 2.5k 1.5× 2.1k 1.5× 169 0.7× 190 0.9× 69 0.5× 30 2.9k
Heide Christine Patterson United States 11 1.7k 1.0× 1.5k 1.1× 588 2.3× 170 0.8× 82 0.6× 13 2.5k
Peng Yao United States 23 1.4k 0.8× 484 0.4× 274 1.1× 169 0.8× 92 0.7× 56 1.9k
José Javier García‐Ramírez Spain 19 1.1k 0.7× 520 0.4× 293 1.2× 308 1.5× 99 0.7× 33 1.7k
Isabelle Dunand-Sauthier Switzerland 22 1.2k 0.7× 674 0.5× 792 3.1× 238 1.2× 56 0.4× 30 2.0k

Countries citing papers authored by Nathan Wong

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Wong. A scholar is included among the top collaborators of Nathan Wong 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 Nathan Wong. Nathan Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wong, Nathan, Jessica A. Beck, Carly M. Sayers, et al.. (2025). Spatial Profiling Identifies Regionally Distinct Microenvironments and Targetable Immunosuppressive Mechanisms in Pediatric Osteosarcoma Pulmonary Metastases. Cancer Research. 85(12). 2320–2337. 4 indexed citations
2.
Alam, Muhammad S., Matthias M. Gaida, Hagen Roland Witzel, et al.. (2024). TNFR1 signaling promotes pancreatic tumor growth by limiting dendritic cell number and function. Cell Reports Medicine. 5(9). 101696–101696. 11 indexed citations
3.
Harrington, Brittney S., Soumya Korrapati, Jyoti Shetty, et al.. (2023). NF-κB Signaling Modulates miR-452-5p and miR-335-5p Expression to Functionally Decrease Epithelial Ovarian Cancer Progression in Tumor-Initiating Cells. International Journal of Molecular Sciences. 24(9). 7826–7826. 5 indexed citations
4.
Hanada, Ken‐ichi, Chihao Zhao, Jared J. Gartner, et al.. (2022). A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers. Cancer Cell. 40(5). 479–493.e6. 90 indexed citations
5.
Alam, Muhammad S., Nathan Wong, Matthias M. Gaida, et al.. (2021). TNF plays a crucial role in inflammation by signaling via T cell TNFR2. Proceedings of the National Academy of Sciences. 118(50). 59 indexed citations
6.
Harrington, Brittney S., Michelle Ozaki, Lídia Hernandez, et al.. (2020). Drugs Targeting Tumor-Initiating Cells Prolong Survival in a Post-Surgery, Post-Chemotherapy Ovarian Cancer Relapse Model. Cancers. 12(6). 1645–1645. 30 indexed citations
7.
Goldstein, Michael A., et al.. (2020). SETD2 Histone Methyltransferase Mutation Status Predicts Treatment Response In Glioblastoma: Strategies To Overcome Chemoresistance. International Journal of Radiation Oncology*Biology*Physics. 108(3). e551–e551. 1 indexed citations
8.
Ishido, Satoshi, et al.. (2020). Ubiquitination of MHC Class II by March-I Regulates Dendritic Cell Fitness. The Journal of Immunology. 206(3). 494–504. 11 indexed citations
9.
Kapoor, Vaishali, Subhajit Ghosh, Nathan Wong, et al.. (2020). Radiation induces iatrogenic immunosuppression by indirectly affecting hematopoiesis in bone marrow. Oncotarget. 11(19). 1681–1690. 10 indexed citations
10.
Kapoor, Vaishali, Nathan Wong, Xiaowei Wang, et al.. (2019). Radiation Induces Iatrogenic Immunosuppression by Indirectly Affecting Hematopoiesis in Bone Marrow. SSRN Electronic Journal. 1 indexed citations
11.
Ho, Pui Yan, Christophe Cataisson, Aleksandra M. Michalowski, et al.. (2019). Head and neck squamous cancer progression is marked by CLIC4 attenuation in tumor epithelium and reciprocal stromal upregulation of miR-142-3p, a novel post-transcriptional regulator of CLIC4. Oncotarget. 10(68). 7251–7275. 11 indexed citations
12.
Cosper, Pippa F., Christopher McNair, Iván González, et al.. (2019). Decreased local immune response and retained HPV gene expression during chemoradiotherapy are associated with treatment resistance and death from cervical cancer. International Journal of Cancer. 146(7). 2047–2058. 24 indexed citations
13.
Liu, Weijun, et al.. (2017). Pseudohypoxia induced by miR-126 deactivation promotes migration and therapeutic resistance in renal cell carcinoma. Cancer Letters. 394. 65–75. 44 indexed citations
14.
Wong, Nathan, Yuhao Chen, Shuai Chen, & Xiaowei Wang. (2017). OncomiR: an online resource for exploring pan-cancer microRNA dysregulation. Bioinformatics. 34(4). 713–715. 147 indexed citations
15.
Wong, Nathan, Shariq S. Khwaja, Hiram A. Gay, et al.. (2016). Prognostic microRNA signatures derived from The Cancer Genome Atlas for head and neck squamous cell carcinomas. Cancer Medicine. 5(7). 1619–1628. 67 indexed citations
16.
Wong, Nathan, Weijun Liu, & Xiaowei Wang. (2015). WU-CRISPR: characteristics of functional guide RNAs for the CRISPR/Cas9 system. Genome biology. 16(1). 218–218. 265 indexed citations
17.
Wong, Nathan & Xiaowei Wang. (2014). miRDB: an online resource for microRNA target prediction and functional annotations. Nucleic Acids Research. 43(D1). D146–D152. 1432 indexed citations breakdown →
18.
Wong, Nathan, William W. Wong, Nina J. Karlin, & Richard J. Gray. (2010). Radiation recall secondary to adjuvant docetaxel after balloon-catheter based accelerated partial breast irradiation. Radiography. 16(3). 253–255. 1 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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