Haipeng Liu

7.6k total citations · 2 hit papers
102 papers, 6.3k citations indexed

About

Haipeng Liu is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Haipeng Liu has authored 102 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 26 papers in Immunology and 15 papers in Biomedical Engineering. Recurrent topics in Haipeng Liu's work include RNA Interference and Gene Delivery (30 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Immunotherapy and Immune Responses (15 papers). Haipeng Liu is often cited by papers focused on RNA Interference and Gene Delivery (30 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Immunotherapy and Immune Responses (15 papers). Haipeng Liu collaborates with scholars based in United States, China and Sweden. Haipeng Liu's co-authors include Chengde Mao, Ye Tao, Darrell J. Irvine, Weihong Tan, Yi Chen, Alexander E. Ribbe, Yu He, Myunggi An, Huaizhi Kang and Gregory L. Szeto and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Haipeng Liu

97 papers receiving 6.3k citations

Hit Papers

Fluorescent Carbon Nanoparticles Derived from Candle Soot 2007 2026 2013 2019 2007 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haipeng Liu United States 33 3.1k 2.2k 1.5k 1.3k 528 102 6.3k
Hai‐Yan Xie China 43 2.4k 0.8× 1.9k 0.9× 2.4k 1.6× 599 0.5× 680 1.3× 125 5.3k
Hua Yue China 35 1.5k 0.5× 1.4k 0.6× 1.9k 1.3× 714 0.5× 1.2k 2.3× 101 4.5k
Ravi Singh United States 39 2.5k 0.8× 2.2k 1.0× 2.8k 1.8× 445 0.3× 996 1.9× 84 6.5k
Joanna Rejman Belgium 34 3.7k 1.2× 1.3k 0.6× 1.7k 1.1× 743 0.6× 2.1k 4.0× 63 6.9k
Carl A. Batt United States 49 3.3k 1.1× 1.4k 0.6× 2.4k 1.6× 384 0.3× 915 1.7× 155 7.2k
Yong Wang China 44 4.0k 1.3× 1.5k 0.7× 2.2k 1.5× 344 0.3× 1.2k 2.2× 216 7.7k
Victoria J. Madden United States 26 2.1k 0.7× 650 0.3× 1.0k 0.7× 828 0.6× 1.2k 2.4× 44 5.1k
Jutaek Nam South Korea 30 1.9k 0.6× 1.5k 0.7× 3.1k 2.1× 1.5k 1.2× 1.5k 2.8× 49 5.7k
Abigail K. R. Lytton‐Jean United States 24 5.5k 1.8× 2.0k 0.9× 2.4k 1.6× 593 0.4× 880 1.7× 33 7.9k
J. Christopher Luft United States 32 2.1k 0.7× 940 0.4× 2.3k 1.5× 680 0.5× 2.4k 4.5× 68 6.0k

Countries citing papers authored by Haipeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haipeng Liu. A scholar is included among the top collaborators of Haipeng Liu 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 Haipeng Liu. Haipeng Liu 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.
Liu, Haipeng, et al.. (2025). Generation and Inhibition of SO3 in Lead Smelting Flue Gas. Applied Sciences. 15(8). 4449–4449.
2.
Hong, Sung‐Kwon, et al.. (2025). Adaptive Janus Particles. Small. 21(35). e2502850–e2502850. 1 indexed citations
3.
Liu, Sha, Shuang Huang, Victor Wei Zhang, et al.. (2024). Customizing carrier screening in the Chinese population: Insights from a 334‐gene panel. Prenatal Diagnosis. 44(11). 1335–1343. 2 indexed citations
4.
Liu, Haipeng, et al.. (2024). Interfacial Activity of Janus Particle: Unity of Molecular Surfactant and Homogeneous Particle. Chemistry - An Asian Journal. 19(5). e202301078–e202301078. 13 indexed citations
5.
Liu, Haipeng & Baoxue Ge. (2024). Lactylation as a post-translational regulator of cGAS and immunity. Molecular Cell. 84(23). 4483–4485. 7 indexed citations
6.
Liu, Chuang, Wenjing Zhang, Qianli Dong, & Haipeng Liu. (2023). Exoskeleton protein repertoires in decapod crustaceans revealed distinct biomineralization evolution with molluscs. Journal of Proteomics. 291. 105046–105046. 5 indexed citations
7.
An, Myunggi, et al.. (2021). Structure-Dependent Stability of Lipid-Based Polymer Amphiphiles Inserted on Erythrocytes. Membranes. 11(8). 572–572. 3 indexed citations
8.
Li, Meng, et al.. (2021). Enhancing Antigen Presentation and Inducing Antigen-Specific Immune Tolerance with Amphiphilic Peptides. The Journal of Immunology. 207(8). 2051–2059. 5 indexed citations
9.
Sun, Xiaoli & Haipeng Liu. (2020). Nucleic Acid Nanostructure Assisted Immune Modulation. ACS Applied Bio Materials. 3(5). 2765–2778. 6 indexed citations
10.
Liu, Haipeng, et al.. (2019). Recent Advances in the Design of Self‐Delivery Amphiphilic Drugs and Vaccines. Advanced Therapeutics. 3(2). 12 indexed citations
11.
Li, Meng, Benxin Jing, Myunggi An, et al.. (2018). Long-Circulating Amphiphilic Doxorubicin for Tumor Mitochondria-Specific Targeting. ACS Applied Materials & Interfaces. 10(50). 43482–43492. 40 indexed citations
12.
An, Myunggi, et al.. (2018). Targeting Suppressive Oligonucleotide to Lymph Nodes Inhibits Toll-like Receptor-9-Mediated Activation of Adaptive Immunity. Pharmaceutical Research. 35(3). 56–56. 16 indexed citations
14.
Li, Meng, et al.. (2017). Bioconjugate Strategies for the Induction of Antigen-Specific Tolerance in Autoimmune Diseases. Bioconjugate Chemistry. 29(3). 719–732. 15 indexed citations
15.
An, Myunggi, et al.. (2017). Silica Nanoparticle as a Lymph Node Targeting Platform for Vaccine Delivery. ACS Applied Materials & Interfaces. 9(28). 23466–23475. 91 indexed citations
16.
An, Myunggi, et al.. (2017). Immunostimulatory Properties of Lipid Modified CpG Oligonucleotides. Molecular Pharmaceutics. 14(8). 2815–2823. 44 indexed citations
17.
Zhang, Weidong, et al.. (2017). Targeting CpG Adjuvant to Lymph Node via Dextran Conjugate Enhances Antitumor Immunotherapy. Bioconjugate Chemistry. 28(7). 1993–2000. 48 indexed citations
18.
Kwong, Brandon, Haipeng Liu, & Darrell J. Irvine. (2012). Intratumoral delivery of liposome-anchored anti-CD137 and IL-2 induces highly potent local and systemic anti-tumor immunity while minimizing toxic inflammatory side effects (165.6). The Journal of Immunology. 188(1_Supplement). 165.6–165.6. 1 indexed citations
19.
Zhou, Jian, et al.. (2011). Preparation and application of a partially degradable gel in mass spectrometry-based proteomic analysis. Journal of Chromatography B. 879(28). 2957–2962. 10 indexed citations
20.
Ramachandran, P. Veeraraghavan, Haipeng Liu, M. Venkat Ram Reddy, & Herbert C. Brown. (2003). Synthesis of Homoallylic Chiral Tertiary Alcohols via Chelation-Controlled Diastereoselective Nucleophilic Addition on α-Alkoxyketones:  Application for the Synthesis of the C1−C11Subunit of 8-epi-Fostriecin. Organic Letters. 5(20). 3755–3757. 34 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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