Hong Du

5.6k total citations · 1 hit paper
104 papers, 4.4k citations indexed

About

Hong Du is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Hong Du has authored 104 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 39 papers in Immunology and 26 papers in Physiology. Recurrent topics in Hong Du's work include Lysosomal Storage Disorders Research (25 papers), Immune cells in cancer (22 papers) and Calcium signaling and nucleotide metabolism (20 papers). Hong Du is often cited by papers focused on Lysosomal Storage Disorders Research (25 papers), Immune cells in cancer (22 papers) and Calcium signaling and nucleotide metabolism (20 papers). Hong Du collaborates with scholars based in United States, China and Australia. Hong Du's co-authors include Cong Yan, Gregory A. Grabowski, Peng Qu, Ting Zhao, David P. Witte, Lingyan Wu, Wandy L. Beatty, Yulia Ivanova, Wing Y. Lam and Márcia Nascimento and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Hong Du

98 papers receiving 4.4k citations

Hit Papers

Cell-intrinsic lysosomal lipolysis is essential for alter... 2014 2026 2018 2022 2014 250 500 750
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.

  1. Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages
    2014 897 citations Cong Yan, Hong Du et al. profile →

Peers

Hong Du
Coleen A. McNamara United States
Vilmos Thomázy United States
Daniel J. Noonan United States
Cong Yan United States
Debbie Liao United States
Jean‐Baptiste Demoulin Belgium
Amanda C. Doran United States
Murray C.H. Clarke United Kingdom
Adam S. Asch United States
Mireille Ouimet Canada
Coleen A. McNamara United States
Hong Du
Citations per year, relative to Hong Du Hong Du (= 1×) peers Coleen A. McNamara

Countries citing papers authored by Hong Du

Since Specialization
Citations

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

Fields of papers citing papers by Hong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Du

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Du. A scholar is included among the top collaborators of Hong Du 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 Hong Du. Hong Du 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.
Zhang, Qian, Yi Zhao, Qian Fan, et al.. (2025). Metabolism-Related Adipokines and Metabolic Diseases: Their Role in Osteoarthritis. Journal of Inflammation Research. Volume 18. 1207–1233. 6 indexed citations
2.
Zhao, Ting, Sheng Liu, Nasser H. Hanna, et al.. (2022). Lysosomal acid lipase, CSF1R, and PD-L1 determine functions of CD11c+ myeloid-derived suppressor cells. JCI Insight. 7(17). 11 indexed citations
3.
Zhao, Ting, et al.. (2020). Lysosomal Acid Lipase Deficiency Controls T- and B-Regulatory Cell Homeostasis in the Lymph Nodes of Mice with Human Cancer Xenotransplants. American Journal Of Pathology. 191(2). 353–367. 15 indexed citations
4.
Zhao, Ting, et al.. (2019). Transthyretin Stimulates Tumor Growth through Regulation of Tumor, Immune, and Endothelial Cells. PMC.
5.
Li, Lin, Xiaojing Cheng, Zhixue Zheng, et al.. (2016). Overexpression of cancer cell-derived immunoglobulin G correlates with poor prognosis in gastric cancer patients. Translational Cancer Research. 5(3). 285–293. 3 indexed citations
6.
Eichmann, Thomas O., Ulrike Taschler, Kathrin A. Zierler, et al.. (2016). Lysosomal Acid Lipase Hydrolyzes Retinyl Ester and Affects Retinoid Turnover. Journal of Biological Chemistry. 291(34). 17977–17987. 49 indexed citations
7.
Wu, Lingyan, et al.. (2015). Establishment of lal-/- myeloid lineage cell line that resembles myeloid-derived suppressive cells. PMC.
8.
Luan, Zuo, et al.. (2015). [Treatment of Gaucher disease with allogeneic hematopoietic stem cell transplantation: report of three cases and review of literatures].. PubMed. 53(11). 810–6. 2 indexed citations
9.
Du, Hong, et al.. (2015). Hepatocyte-Specific Expression of Human Lysosome Acid Lipase Corrects Liver Inflammation and Tumor Metastasis in lal(-/-) Mice. PMC. 1 indexed citations
10.
Wu, Lingyan, et al.. (2015). Establishment of lal-/- Myeloid Lineage Cell Line That Resembles Myeloid-Derived Suppressive Cells. PLoS ONE. 10(3). e0121001–e0121001. 9 indexed citations
11.
Zhao, Ting, et al.. (2015). Activation of mTOR pathway in myeloid-derived suppressor cells stimulates cancer cell proliferation and metastasis in lal(-/-) mice. PMC.
12.
Du, Yunxia, Lianhai Zhang, Xiaojing Cheng, et al.. (2012). 03. Expression of CEBPB in human gastric carcinoma and its clinical significance. 2 indexed citations
13.
Li, Yuan, et al.. (2011). Api6/AIM/Spα/CD5L Overexpression in Alveolar Type II Epithelial Cells Induces Spontaneous Lung Adenocarcinoma. Cancer Research. 71(16). 5488–5499. 44 indexed citations
14.
Wu, Lingyan, Hong Du, Yuan Li, Peng Qu, & Cong Yan. (2011). Signal Transducer and Activator of Transcription 3 (Stat3C) Promotes Myeloid-Derived Suppressor Cell Expansion and Immune Suppression during Lung Tumorigenesis. American Journal Of Pathology. 179(4). 2131–2141. 72 indexed citations
15.
Zhang, Zhiqing, et al.. (2010). Interleukine-1α expression in primary and recurrent pterygium. 28(4). 407–409. 1 indexed citations
16.
Qu, Peng, Hong Du, Yuan Li, & Cong Yan. (2009). Myeloid-Specific Expression of Api6/AIM/Spα Induces Systemic Inflammation and Adenocarcinoma in the Lung. The Journal of Immunology. 182(3). 1648–1659. 48 indexed citations
17.
Du, Hong, Stephen J. Garger, Gregory P. Pogue, et al.. (2008). Wolman disease/cholesteryl ester storage disease: efficacy of plant-produced human lysosomal acid lipase in mice. Journal of Lipid Research. 49(8). 1646–1657. 54 indexed citations
18.
19.
Castoreno, Adam, Yan Wang, Walter Stockinger, et al.. (2005). Transcriptional regulation of phagocytosis-induced membrane biogenesis by sterol regulatory element binding proteins. Proceedings of the National Academy of Sciences. 102(37). 13129–13134. 69 indexed citations
20.
Lian, Xuemei, Yulin Qin, Shaikh Abu Hossain, et al.. (2005). Overexpression of Stat3C in Pulmonary Epithelium Protects against Hyperoxic Lung Injury. The Journal of Immunology. 174(11). 7250–7256. 58 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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