Dali Han

21.5k total citations · 9 hit papers
45 papers, 13.8k citations indexed

About

Dali Han is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dali Han has authored 45 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Dali Han's work include RNA modifications and cancer (27 papers), Epigenetics and DNA Methylation (12 papers) and RNA and protein synthesis mechanisms (11 papers). Dali Han is often cited by papers focused on RNA modifications and cancer (27 papers), Epigenetics and DNA Methylation (12 papers) and RNA and protein synthesis mechanisms (11 papers). Dali Han collaborates with scholars based in China, United States and Germany. Dali Han's co-authors include Chuan He, Xiao Wang, Zhike Lu, Qing Dai, Ye Fu, Yanan Yue, Guifang Jia, Tao Pan, Kai Chen and Honghui Ma and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Dali Han

42 papers receiving 13.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

N6-methyladenosine-dependent regulation of messenger RNA stability

2013 3.3k citations Xiao Wang, Zhike Lu et al. profile →
N6-methyladenosine Modulates Messenger RNA Translation Efficiency

2015 2.6k citations Xiao Wang, Zhike Lu et al. Cell profile →
A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation

2013 2.5k citations Jianzhao Liu, Yanan Yue et al. Nature Chemical Biology profile →
The dynamic N1-methyladenosine methylome in eukaryotic messenger RNA

2016 766 citations Dan Dominissini, Qing Dai et al. profile →
Anti-tumour immunity controlled through mRNA m6A methylation and YTHDF1 in dendritic cells

2019 737 citations Dali Han, Jun Liu et al. profile →
N ⁶ -methyladenosine of chromosome-associated regulatory RNA regulates chromatin state and transcription

2020 495 citations Jun Liu, Xiaoyang Dou et al. Science profile →
ALKBH1-Mediated tRNA Demethylation Regulates Translation

2016 439 citations Fange Liu, Wesley C. Clark et al. Cell profile →
Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance

2021 252 citations Yi Liu, Guanghao Liang et al. Cell Metabolism profile →
The loss of RNA N6-adenosine methyltransferase Mettl14 in tumor-associated macrophages promotes CD8+ T cell dysfunction and tumor growth

2021 201 citations Chuanyuan Chen, Yawei Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dali Han China	26	13.2k	5.8k	1.7k	973	636	45	13.8k
Schraga Schwartz Israel	37	12.2k 0.9×	5.0k 0.9×	1.1k 0.7×	591 0.6×	532 0.8×	65	12.7k
Zhike Lu United States	39	22.6k 1.7×	9.9k 1.7×	3.6k 2.1×	1.7k 1.8×	541 0.9×	54	23.7k
Dan Dominissini Israel	24	8.4k 0.6×	3.9k 0.7×	1.1k 0.6×	468 0.5×	208 0.3×	39	8.7k
Shu‐Bing Qian United States	38	7.2k 0.5×	2.3k 0.4×	574 0.3×	618 0.6×	1.0k 1.6×	68	9.0k
Hani Goodarzi United States	36	6.2k 0.5×	3.0k 0.5×	348 0.2×	695 0.7×	592 0.9×	98	7.6k
Pedro J. Batista United States	22	7.4k 0.6×	3.7k 0.6×	354 0.2×	247 0.3×	353 0.6×	32	8.1k
Markus T. Bohnsack Germany	43	7.2k 0.5×	2.4k 0.4×	291 0.2×	422 0.4×	193 0.3×	85	7.7k
Fritz Rottman United States	43	7.1k 0.5×	1.9k 0.3×	584 0.3×	485 0.5×	379 0.6×	120	8.4k
Junwei Shi United States	35	6.2k 0.5×	808 0.1×	178 0.1×	1.3k 1.4×	513 0.8×	105	7.3k
Denis L. J. Lafontaine Belgium	48	7.1k 0.5×	1.3k 0.2×	162 0.1×	526 0.5×	169 0.3×	101	7.7k

Countries citing papers authored by Dali Han

Since Specialization

Citations

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

Fields of papers citing papers by Dali Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dali Han

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Shengde, Guanghao Liang, Ting Xu, et al.. (2025). SPP1 Drives Colorectal Cancer Liver Metastasis and Immunotherapy Resistance by Stimulating CXCL12 Production in Cancer-Associated Fibroblasts. Cancer Research. 86(1). 58–79.

Liu, Yi, Jing Yang, Bryan E. Snow, et al.. (2025). LARP4-mediated hypertranslation drives T cell dysfunction in tumors. Nature Immunology. 26(9). 1488–1500. 2 indexed citations

Zeng, Zhiyang, Yang Luo, Zhengwei Li, et al.. (2025). Downregulation of METTL3 enhances TRADD-mediated apoptosis in inflammatory bowel disease. Science China Life Sciences. 68(7). 2010–2027. 1 indexed citations

Zeng, Runqiang, Dali Han, Wei Du, et al.. (2024). The relationship between adolescent sleep duration and exposure to school bullying: the masking effect of depressive symptoms. Frontiers in Psychology. 15. 1417960–1417960.

You, Menghao, Jingjing Liu, Wenhui Guo, et al.. (2023). Mettl3-m6A-Creb1 forms an intrinsic regulatory axis in maintaining iNKT cell pool and functional differentiation. Cell Reports. 42(6). 112584–112584. 9 indexed citations

Liang, Guanghao, Qiancheng You, Kirk E. Cahill, et al.. (2023). Cellular Composition and 5hmC Signature Predict the Treatment Response of AML Patients to Azacitidine Combined with Chemotherapy. Advanced Science. 10(23). e2300445–e2300445. 8 indexed citations

Yang, Liming, et al.. (2023). Role and mechanisms of noncoding RNAs in the regulation of metabolic reprogramming in bladder cancer (Review). International Journal of Molecular Medicine. 52(3). 5 indexed citations

Liu, Chuandong, Jie Li, Qian Zhao, et al.. (2023). Colonic stem cell from severe ulcerative colitis maintains environment-independent immune activation by altering chromatin accessibility and global m6A loss. PubMed. 2(4). lnad034–lnad034. 2 indexed citations

Cui, Guanshen, Jiayi Zhou, Xinyang Ge, et al.. (2023). m⁶A promotes planarian regeneration. Cell Proliferation. 56(5). e13481–e13481. 10 indexed citations

10.

Liu, Yi, Guanghao Liang, Hongjiao Xu, et al.. (2021). Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance. Cell Metabolism. 33(6). 1221–1233.e11. 252 indexed citations breakdown →

11.

Liu, Jun, Xiaoyang Dou, Chuanyuan Chen, et al.. (2020). N ⁶ -methyladenosine of chromosome-associated regulatory RNA regulates chromatin state and transcription. Science. 367(6477). 580–586. 495 indexed citations breakdown →

12.

Xu, Meng, Pu Yang, Dali Han, et al.. (2017). Dendritic Cells but Not Macrophages Sense Tumor Mitochondrial DNA for Cross-priming through Signal Regulatory Protein α Signaling. Immunity. 47(2). 363–373.e5. 241 indexed citations

13.

Yu, Miao, Dali Han, Gary C. Hon, & Chuan He. (2017). Tet-Assisted Bisulfite Sequencing (TAB-seq). Methods in molecular biology. 1708. 645–663. 22 indexed citations

14.

Liu, Fange, Wesley C. Clark, Guan‐Zheng Luo, et al.. (2016). ALKBH1-Mediated tRNA Demethylation Regulates Translation. Cell. 167(3). 816–828.e16. 439 indexed citations breakdown →

15.

Fu, Ye, Guan‐Zheng Luo, Kai Chen, et al.. (2015). N6-Methyldeoxyadenosine Marks Active Transcription Start Sites in Chlamydomonas. Cell. 161(4). 879–892. 380 indexed citations

16.

Chen, Kai, Zhike Lu, Xiao Wang, et al.. (2014). High‐Resolution N⁶‐Methyladenosine (m⁶A) Map Using Photo‐Crosslinking‐Assisted m⁶A Sequencing. Angewandte Chemie. 127(5). 1607–1610. 38 indexed citations

17.

Chen, Kai, Zhike Lu, Xiao Wang, et al.. (2014). High‐Resolution N⁶‐Methyladenosine (m⁶A) Map Using Photo‐Crosslinking‐Assisted m⁶A Sequencing. Angewandte Chemie International Edition. 54(5). 1587–1590. 332 indexed citations

18.

Liu, Jianzhao, Yanan Yue, Dali Han, et al.. (2013). A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation. Nature Chemical Biology. 10(2). 93–95. 2501 indexed citations breakdown →

19.

Han, Yixing, Dali Han, Yan Zheng, et al.. (2012). Stress‐associated H3K4 methylation accumulates during postnatal development and aging of rhesus macaque brain. Aging Cell. 11(6). 1055–1064. 41 indexed citations

20.

Liu, Yi, Dali Han, Yixing Han, et al.. (2010). Ab initio identification of transcription start sites in the Rhesus macaque genome by histone modification and RNA-Seq. Nucleic Acids Research. 39(4). 1408–1418. 17 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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