Dehong Yan

1.3k total citations · 1 hit paper
34 papers, 969 citations indexed

About

Dehong Yan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Dehong Yan has authored 34 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 14 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Dehong Yan's work include Immune cells in cancer (16 papers), Immune Cell Function and Interaction (11 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Dehong Yan is often cited by papers focused on Immune cells in cancer (16 papers), Immune Cell Function and Interaction (11 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Dehong Yan collaborates with scholars based in China, United States and Nigeria. Dehong Yan's co-authors include Adeleye O. Adeshakin, Xiaochun Wan, Lukman O. Afolabi, Guizhong Zhang, Funmilayo O. Adeshakin, Jie Zhou, Youhai H. Chen, Qiong Yang, Xiaochun Wan and Meichen Xu and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Dehong Yan

31 papers receiving 966 citations

Hit Papers

MDSC checkpoint blockade therapy: a new breakthrough poin... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehong Yan China 15 574 356 289 213 109 34 969
Mariafausta Fischietti United States 15 374 0.7× 479 1.3× 317 1.1× 276 1.3× 106 1.0× 28 1.1k
Liqin Zheng United States 9 818 1.4× 378 1.1× 295 1.0× 418 2.0× 52 0.5× 19 1.1k
Gianmaria Liccardi United Kingdom 13 330 0.6× 846 2.4× 289 1.0× 193 0.9× 168 1.5× 21 1.1k
Ombretta Melaiu Italy 18 526 0.9× 359 1.0× 553 1.9× 180 0.8× 254 2.3× 42 1.2k
Jami Willette‐Brown United States 20 914 1.6× 367 1.0× 228 0.8× 171 0.8× 45 0.4× 34 1.3k
Kun‐Yu Teng United States 14 329 0.6× 436 1.2× 442 1.5× 204 1.0× 39 0.4× 25 967
Marion Thibaudin France 13 630 1.1× 391 1.1× 778 2.7× 259 1.2× 150 1.4× 25 1.4k
Nima Etemadi Australia 12 298 0.5× 361 1.0× 204 0.7× 133 0.6× 64 0.6× 14 695
Jesse J. Balic Australia 15 303 0.5× 384 1.1× 239 0.8× 194 0.9× 89 0.8× 22 763
Yun Hee Kang South Korea 18 258 0.4× 535 1.5× 332 1.1× 212 1.0× 115 1.1× 44 1.0k

Countries citing papers authored by Dehong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dehong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Dehong Yan. A scholar is included among the top collaborators of Dehong Yan 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 Dehong Yan. Dehong Yan 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
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Liu, Junchen, Kun Dai, Lukman O. Afolabi, et al.. (2025). Sodium valproate enhances efficacy of NKG2D CAR-T cells against glioblastoma. Frontiers in Immunology. 15. 1519777–1519777. 1 indexed citations
4.
Liang, Zihao, Rong Li, Lukman O. Afolabi, et al.. (2025). MDSC checkpoint blockade therapy: a new breakthrough point overcoming immunosuppression in cancer immunotherapy. Cancer Gene Therapy. 32(4). 371–392. 23 indexed citations breakdown →
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Cheng, Jian, Guizhong Zhang, Tian Deng, et al.. (2023). CD317 maintains proteostasis and cell survival in response to proteasome inhibitors by targeting calnexin for RACK1-mediated autophagic degradation. Cell Death and Disease. 14(5). 333–333. 3 indexed citations
8.
Adeshakin, Adeleye O., Funmilayo O. Adeshakin, Dehong Yan, & Xiaochun Wan. (2022). Regulating Histone Deacetylase Signaling Pathways of Myeloid-Derived Suppressor Cells Enhanced T Cell-Based Immunotherapy. Frontiers in Immunology. 13. 781660–781660. 24 indexed citations
9.
Afolabi, Lukman O., Wahab O. Okunowo, Dehong Yan, et al.. (2021). Exploiting the CRISPR‐Cas9 gene‐editing system for human cancers and immunotherapy. Clinical & Translational Immunology. 10(6). e1286–e1286. 26 indexed citations
10.
Adeshakin, Adeleye O., Wan Liu, Funmilayo O. Adeshakin, et al.. (2021). Regulation of ROS in myeloid-derived suppressor cells through targeting fatty acid transport protein 2 enhanced anti-PD-L1 tumor immunotherapy. Cellular Immunology. 362. 104286–104286. 92 indexed citations
11.
Afolabi, Lukman O., Jiacheng Bi, Xuguang Li, et al.. (2021). Synergistic Tumor Cytolysis by NK Cells in Combination With a Pan-HDAC Inhibitor, Panobinostat. Frontiers in Immunology. 12. 701671–701671. 24 indexed citations
12.
Adeshakin, Adeleye O., et al.. (2021). Lipidomics data showing the effect of lipofermata on myeloid-derived suppressor cells in the spleens of tumor-bearing mice. SHILAP Revista de lepidopterología. 35. 106882–106882. 4 indexed citations
13.
Wang, Lulu, Dehong Yan, Zhang Mengqi, et al.. (2021). High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL. Frontiers in Oncology. 11. 755188–755188. 7 indexed citations
14.
Adeshakin, Funmilayo O., Adeleye O. Adeshakin, Xiaoxu Lü, et al.. (2021). Upregulation of V-ATPase by STAT3 Activation Promotes Anoikis Resistance and Tumor Metastasis. Journal of Cancer. 12(16). 4819–4829. 16 indexed citations
15.
Adeshakin, Adeleye O., Lukman O. Afolabi, Funmilayo O. Adeshakin, et al.. (2020). Seasonal variations in Nigeria: understanding COVID-19 transmission dynamics and immune responses. SHILAP Revista de lepidopterología. 4. 2 indexed citations
16.
Cheng, Jian, Tian Deng, Zhen Lu, et al.. (2020). CD317 mediates immunocytolysis resistance by RICH2/cytoskeleton-dependent membrane protection. Molecular Immunology. 129. 94–102. 4 indexed citations
17.
Adeshakin, Adeleye O., Dehong Yan, Mengqi Zhang, et al.. (2019). Blockade of myeloid-derived suppressor cell function by valproic acid enhanced anti-PD-L1 tumor immunotherapy. Biochemical and Biophysical Research Communications. 522(3). 604–611. 30 indexed citations
18.
Chen, Qian, Dehong Yan, Qingmei Zhang, et al.. (2019). Treatment of acetaminophen-induced liver failure by blocking the death checkpoint protein TRAIL. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(1). 165583–165583. 14 indexed citations
19.
Cai, Weiping, Aiping Qin, Dehong Yan, et al.. (2013). Clinical Significance and Functional Studies of Myeloid-Derived Suppressor Cells in Chronic Hepatitis C Patients. Journal of Clinical Immunology. 33(4). 798–808. 74 indexed citations
20.
Qin, Aiping, Weiping Cai, Ting Pan, et al.. (2012). Expansion of Monocytic Myeloid-Derived Suppressor Cells Dampens T Cell Function in HIV-1-Seropositive Individuals. Journal of Virology. 87(3). 1477–1490. 136 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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