Han Dong

2.1k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Han Dong is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Han Dong has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 7 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Han Dong's work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). Han Dong is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). Han Dong collaborates with scholars based in United States, China and Japan. Han Dong's co-authors include Jianzhu Chen, Guozhu Xie, Yong Liang, James Dongjoo Ham, Timothy N. J. Bullock, Laurie H. Glimcher, James R. Carlyle, Nicholas M. Adams, David Allan and Xi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Han Dong

19 papers receiving 1.1k citations

Hit Papers

CAR-NK cells: A promising cellular immunotherapy for cancer 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Dong United States 9 749 631 297 96 95 20 1.1k
Nicole Boucheron Austria 17 1.0k 1.4× 291 0.5× 477 1.6× 64 0.7× 56 0.6× 29 1.4k
Lequn Li United States 11 550 0.7× 522 0.8× 245 0.8× 66 0.7× 46 0.5× 19 940
Susanna Lewén United States 10 544 0.7× 560 0.9× 231 0.8× 59 0.6× 87 0.9× 12 886
Wenzhi Tian China 16 695 0.9× 431 0.7× 292 1.0× 73 0.8× 77 0.8× 53 1.1k
Edahí González‐Avalos United States 12 696 0.9× 545 0.9× 696 2.3× 67 0.7× 40 0.4× 14 1.4k
Jiri Keirsse Belgium 12 990 1.3× 525 0.8× 412 1.4× 187 1.9× 79 0.8× 19 1.3k
Naiara Perurena United States 10 631 0.8× 359 0.6× 337 1.1× 143 1.5× 33 0.3× 15 1.1k
Elena Tassi Italy 16 547 0.7× 646 1.0× 554 1.9× 90 0.9× 35 0.4× 24 1.4k
Shunsuke Kitajima Japan 17 442 0.6× 484 0.8× 606 2.0× 289 3.0× 101 1.1× 29 1.2k
Nadja Zaborsky Austria 18 386 0.5× 336 0.5× 283 1.0× 93 1.0× 25 0.3× 49 945

Countries citing papers authored by Han Dong

Since Specialization
Citations

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

Fields of papers citing papers by Han Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Han Dong. A scholar is included among the top collaborators of Han Dong 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 Han Dong. Han Dong 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.
Dong, Han, et al.. (2025). Kaempferol as a multifaceted immunomodulator: implications for inflammation, autoimmunity, and cancer. Frontiers in Immunology. 16. 1671519–1671519. 3 indexed citations
2.
3.
Wang, Lei, Dezhi Wang, Tiantian Sun, et al.. (2024). Trigonometric Bundling Disulfide Unit Starship Synergizes More Effectively to Promote Cellular Uptake. International Journal of Molecular Sciences. 25(14). 7518–7518.
4.
Chen, Ruiying, Han Dong, David E. Maridas, et al.. (2023). Sfrp4 is required to maintain Ctsk-lineage periosteal stem cell niche function. Proceedings of the National Academy of Sciences. 120(46). e2312677120–e2312677120. 8 indexed citations
5.
Dong, Han, James Dongjoo Ham, Guangan Hu, et al.. (2022). Memory-like NK cells armed with a neoepitope-specific CAR exhibit potent activity against NPM1 mutated acute myeloid leukemia. Proceedings of the National Academy of Sciences. 119(25). e2122379119–e2122379119. 93 indexed citations
6.
Xie, Guozhu, Nikola A. Ivica, Bin Jia, et al.. (2020). CAR-T cells targeting a nucleophosmin neoepitope exhibit potent specific activity in mouse models of acute myeloid leukaemia. Nature Biomedical Engineering. 5(5). 399–413. 58 indexed citations
7.
LaMarche, Nelson M., Harry Kane, Ayano C. Kohlgruber, et al.. (2020). Distinct iNKT Cell Populations Use IFNγ or ER Stress-Induced IL-10 to Control Adipose Tissue Homeostasis. Cell Metabolism. 32(2). 243–258.e6. 70 indexed citations
8.
Xie, Guozhu, et al.. (2020). CAR-NK cells: A promising cellular immunotherapy for cancer. EBioMedicine. 59. 102975–102975. 572 indexed citations breakdown →
9.
Dong, Han, et al.. (2020). LINC00511 can promote the proliferation, migration and invasion of esophageal cancer cells through regulating microRNA-150-5p.. SHILAP Revista de lepidopterología. 24(5). 2462–2469. 6 indexed citations
10.
Dong, Han, Guozhu Xie, Yong Liang, et al.. (2020). Engineered Memory-like NK Cars Targeting a Neoepitope Derived from Intracellular NPM1c Exhibit Potent Activity and Specificity Against Acute Myeloid Leukemia. Blood. 136(Supplement 1). 3–4. 11 indexed citations
11.
Dong, Han, Nicholas M. Adams, Yichi Xu, et al.. (2020). The IRE1 endoplasmic reticulum stress sensor activates natural killer cell immunity and promotes natural killer cell memory by regulating c-Myc and mitochondrial respiration. The Journal of Immunology. 204(1_Supplement). 162.11–162.11. 1 indexed citations
12.
Dong, Han, Nicholas M. Adams, Yichi Xu, et al.. (2019). The IRE1 endoplasmic reticulum stress sensor activates natural killer cell immunity in part by regulating c-Myc. Nature Immunology. 20(7). 865–878. 138 indexed citations
13.
Dong, Han, et al.. (2019). Frontline Science: Late CD27 stimulation promotes IL-7Rα transcriptional re-expression and memory T cell qualities in effector CD8+ T cells. Journal of Leukocyte Biology. 106(5). 1007–1019. 4 indexed citations
14.
Dong, Han, et al.. (2016). [Protective effect and mechanism of β-CM7 on renin angiotensin system & diabetic cardiomyopathy].. PubMed. 32(2). 195–203. 3 indexed citations
15.
Dong, Han, et al.. (2015). CD70 and IFN‐1 selectively induce eomesodermin or T‐bet and synergize to promote CD8+ T‐cell responses. European Journal of Immunology. 45(12). 3289–3301. 6 indexed citations
16.
Dong, Han & Timothy N. J. Bullock. (2014). Metabolic Influences That Regulate Dendritic Cell Function in Tumors. Frontiers in Immunology. 5. 68 indexed citations
18.
Dong, Han. (2011). Effects of Shenqifuzheng injection on the immunolologic function and clinic efficacy in the elderly patients with advanced gastric cancer. The Chinese Journal of Clinical Pharmacology. 3 indexed citations
19.
Cheung, Ann, Michel DuPage, Han Dong, Jianzhu Chen, & Tyler Jacks. (2008). Regulated Expression of a Tumor-Associated Antigen Reveals Multiple Levels of T-Cell Tolerance in a Mouse Model of Lung Cancer. Cancer Research. 68(22). 9459–9468. 37 indexed citations
20.
Deng, Hong‐Wen, et al.. (1992). [Mechanisms of protective action of radix Salviae miltiorrhizae (RSM) against experimental hepatic injury in rats].. PubMed. 17(4). 233–6, inside backcover. 3 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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