Die Hu

563 total citations · 1 hit paper
19 papers, 336 citations indexed

About

Die Hu is a scholar working on Molecular Biology, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Die Hu has authored 19 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Economics and Econometrics. Recurrent topics in Die Hu's work include RNA Interference and Gene Delivery (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Innovation Policy and R&D (2 papers). Die Hu is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Innovation Policy and R&D (2 papers). Die Hu collaborates with scholars based in China, Pakistan and Canada. Die Hu's co-authors include Yuandi Wang, Xue Yang, Yongqiang Gao, Yu Li, Yaomei Tian, Yang Li, Yuhua Li, Yusi Wang, Yiwei Li and Qiang Li and has published in prestigious journals such as Journal of Controlled Release, International Journal of Pharmaceutics and Advanced Science.

In The Last Decade

Die Hu

18 papers receiving 325 citations

Hit 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.

Landscape of small nucleic acid therapeutics: moving from the bench to the clinic as next-generation medicines

2025 29 citations Mohan Liu, Yusi Wang et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Die Hu China	10	90	83	60	54	54	19	336
Qianqian Hu China	13	143 1.6×	83 1.0×	35 0.6×	41 0.8×	70 1.3×	34	496
Ying Wu China	15	191 2.1×	42 0.5×	101 1.7×	42 0.8×	14 0.3×	82	707
Chuyi Wang China	11	192 2.1×	44 0.5×	74 1.2×	40 0.7×	9 0.2×	20	425
Sandra K. Martin United States	8	126 1.4×	49 0.6×	23 0.4×	10 0.2×	55 1.0×	15	611
Yixin Liu China	11	149 1.7×	148 1.8×	76 1.3×	6 0.1×	27 0.5×	40	718
Sun-Hwa Kim South Korea	8	83 0.9×	46 0.6×	5 0.1×	149 2.8×	71 1.3×	17	395
Yen‐Ting Lin United States	11	81 0.9×	210 2.5×	40 0.7×	110 2.0×	23 0.4×	17	438
Jiali Fang China	8	103 1.1×	57 0.7×	42 0.7×	35 0.6×	4 0.1×	30	431
Tam Thanh Nguyen Australia	12	133 1.5×	49 0.6×	14 0.2×	7 0.1×	20 0.4×	24	404
Jiarong Li China	9	38 0.4×	55 0.7×	59 1.0×	39 0.7×	27 0.5×	21	275

Countries citing papers authored by Die Hu

Since Specialization

Citations

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

Fields of papers citing papers by Die Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Die Hu

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

All Works

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19 of 19 papers shown

Liu, Mohan, et al.. (2025). Landscape of small nucleic acid therapeutics: moving from the bench to the clinic as next-generation medicines. Signal Transduction and Targeted Therapy. 10(1). 73–73. 29 indexed citations breakdown →

Ma, Wentao, et al.. (2025). A novel pH-responsive berberine-loaded attapulgite microsphere for IBD therapy via the regulation of gut immunity and flora. International Journal of Pharmaceutics. 679. 125705–125705.

Hu, Die, Naoya Kobayashi, & Rieko Ohki. (2024). FUCA1: An Underexplored p53 Target Gene Linking Glycosylation and Cancer Progression. Cancers. 16(15). 2753–2753. 4 indexed citations

Men, Ke, Mohan Liu, Xueyan Zhang, et al.. (2024). Identification of Potent siRNA Delivery Peptides Using Computer Modeling. Advanced Science. 11(14). e2308345–e2308345. 2 indexed citations

Li, Nan, Yichao Li, Die Hu, et al.. (2024). Comparative transcriptome analysis and meta-QTLs mapping reveal the regulatory mechanism of cold tolerance in rice at the budding stage. Heliyon. 10(18). e37933–e37933. 1 indexed citations

Tang, Lin, Rui Zhang, Yusi Wang, et al.. (2024). A blood–brain barrier- and blood–brain tumor barrier-penetrating siRNA delivery system targeting gliomas for brain tumor immunotherapy. Journal of Controlled Release. 369. 642–657. 26 indexed citations

Wang, Xue, et al.. (2023). Nucleolin promotes tumor growth in colorectal cancer by enhancing hnRNPA1-mediated PKM2 alternative splicing. Genes & Diseases. 10(6). 2237–2240. 3 indexed citations

Xie, Daoyuan, Yaomei Tian, Die Hu, et al.. (2023). Oncolytic adenoviruses expressing checkpoint inhibitors for cancer therapy. Signal Transduction and Targeted Therapy. 8(1). 436–436. 27 indexed citations

Yang, Xue, Hao Zhang, Die Hu, & Bingde Wu. (2022). The timing dilemma: understanding the determinants of innovative startups’ patent collateralization for loans. Small Business Economics. 60(1). 371–403. 10 indexed citations

10.

Tian, Yaomei, Die Hu, Yuhua Li, & Yang Li. (2022). Development of therapeutic vaccines for the treatment of diseases. Molecular Biomedicine. 3(1). 40–40. 36 indexed citations

11.

Gong, Jinglei, et al.. (2021). Effect of LongZhang Gargle on Dual‐Species Biofilm of Candida albicans and Streptococcus mutans. BioMed Research International. 2021(1). 6654793–6654793. 5 indexed citations

12.

Wang, Yuanyuan, Jingjing Chen, Wei Chen, et al.. (2020). Does Asthma Increase the Mortality of Patients with COVID-19?: A Systematic Review and Meta-Analysis. International Archives of Allergy and Immunology. 182(1). 76–82. 41 indexed citations

13.

Hu, Die, Jinglei Gong, Bing He, Zhu Chen, & Mingyun Li. (2020). Surface properties and Streptococcus mutans - Streptococcus sanguinis adhesion of fluorotic enamel. Archives of Oral Biology. 121. 104970–104970. 8 indexed citations

14.

Ji, Hua, Xin Wang, Haixia Wang, et al.. (2020). Prevalence and characteristics of Staphylococcus aureus isolated from Kazak cheese in Xinjiang, China. Food Control. 123. 107759–107759. 23 indexed citations

15.

Yang, Xue, Yuandi Wang, Die Hu, & Yongqiang Gao. (2018). How industry peers improve your sustainable development? The role of listed firms in environmental strategies. Business Strategy and the Environment. 27(8). 1313–1333. 51 indexed citations

16.

Hu, Die, Yuandi Wang, & Yu Li. (2017). How Does Open Innovation Modify the Relationship between Environmental Regulations and Productivity?. Business Strategy and the Environment. 26(8). 1132–1143. 37 indexed citations

17.

Tang, Mei, et al.. (2016). Studies on separation and properties of lumbrokinase in Pheretima praepinguis. Bangladesh Journal of Pharmacology. 11. S106–S109. 2 indexed citations

18.

Wang, Yuandi, Die Hu, Weiping Li, Yiwei Li, & Qiang Li. (2015). Collaboration strategies and effects on university research: evidence from Chinese universities. Scientometrics. 103(2). 725–749. 30 indexed citations

19.

Wang, Yuandi, et al.. (2015). Citing time lag: A new determinant for paper quality? A case study on management journal in China. 1636–1641. 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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