Di Lü

636 total citations
28 papers, 494 citations indexed

About

Di Lü is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Di Lü has authored 28 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Di Lü's work include Virus-based gene therapy research (3 papers), Proteins in Food Systems (3 papers) and Receptor Mechanisms and Signaling (3 papers). Di Lü is often cited by papers focused on Virus-based gene therapy research (3 papers), Proteins in Food Systems (3 papers) and Receptor Mechanisms and Signaling (3 papers). Di Lü collaborates with scholars based in China, United States and New Zealand. Di Lü's co-authors include Mohan K. Raizada, Colin Sumners, Jian Kang, Philip Posner, Saswati Chatterjee, Wenjing Sun, Lin Sun, Lechun Lyu, Ling Li and Yu Zhao and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Di Lü

27 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Lü China 13 337 115 72 55 48 28 494
Hailong Zhang China 12 335 1.0× 52 0.5× 41 0.6× 68 1.2× 42 0.9× 27 543
Ogooluwa Ojelabi United States 10 232 0.7× 33 0.3× 31 0.4× 75 1.4× 32 0.7× 13 402
Shraddha Patel United States 4 389 1.2× 45 0.4× 30 0.4× 49 0.9× 45 0.9× 6 593
Evelyn Bayna United States 8 270 0.8× 70 0.6× 94 1.3× 38 0.7× 27 0.6× 8 425
Xiaoming Fan United States 14 292 0.9× 66 0.6× 23 0.3× 115 2.1× 29 0.6× 22 502
Yasuro Furuichi Japan 16 354 1.1× 45 0.4× 39 0.5× 16 0.3× 50 1.0× 47 598
Rea Valaperta Italy 17 611 1.8× 76 0.7× 50 0.7× 169 3.1× 49 1.0× 30 839
Zhuo Mao China 12 255 0.8× 24 0.2× 57 0.8× 44 0.8× 95 2.0× 17 535
Veronika Leiss Germany 11 268 0.8× 94 0.8× 65 0.9× 12 0.2× 32 0.7× 22 501
Zhenyu Yao China 8 252 0.7× 34 0.3× 32 0.4× 67 1.2× 104 2.2× 27 457

Countries citing papers authored by Di Lü

Since Specialization
Citations

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

Fields of papers citing papers by Di Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Di Lü. A scholar is included among the top collaborators of Di Lü 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 Di Lü. Di Lü 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.
Lü, Di, Debashree Roy, Alejandra Acevedo-Fani, Harjinder Singh, & Aiqian Ye. (2025). Investigation of various plant protein ingredients for processed cheese analogues: physical properties and microstructure compared with milk proteins. International Journal of Food Science & Technology. 60(1). 6 indexed citations
2.
Lü, Di, Debashree Roy, Alejandra Acevedo-Fani, et al.. (2025). Physical properties and microstructure of hybrid processed cheeses formulated with plant protein and milk protein ingredients. Food Hydrocolloids. 170. 111688–111688. 4 indexed citations
3.
Lü, Di, Cushla McGoverin, Debashree Roy, et al.. (2025). Distinguishing plant and milk proteins and their interactions in hybrid cheese using confocal Raman microscopy with machine learning. Food Chemistry. 498(Pt 1). 147102–147102.
4.
Yang, Modan, et al.. (2023). FGF21-mediated autophagy: Remodeling the homeostasis in response to stress in liver diseases. Genes & Diseases. 11(3). 101027–101027. 8 indexed citations
6.
Sun, Wenjing, Rui Li, Yingjie Chu, et al.. (2021). Beclin1 controls caspase-4 inflammsome activation and pyroptosis in mouse myocardial reperfusion-induced microvascular injury. Cell Communication and Signaling. 19(1). 107–107. 41 indexed citations
7.
Li, Junjun, Qian Yuan, Chao Zhang, et al.. (2021). LncRNA LINC00473 is involved in the progression of invasive pituitary adenoma by upregulating KMT5A via ceRNA-mediated miR-502-3p evasion. Cell Death and Disease. 12(6). 580–580. 26 indexed citations
8.
Zhang, Zhigang, et al.. (2020). Transgelin-2 contributes to proliferation and progression of hepatocellular carcinoma via regulating Annexin A2. Biochemical and Biophysical Research Communications. 523(3). 632–638. 23 indexed citations
9.
Sun, Wenjing, Lechun Lyu, Lin Zhi, et al.. (2019). Gastrodin ameliorates microvascular reperfusion injury–induced pyroptosis by regulating the NLRP3/caspase-1 pathway. Journal of Physiology and Biochemistry. 75(4). 531–547. 58 indexed citations
10.
Lü, Di, Jun Ma, Qimin Zhan, et al.. (2014). Epigenetic silencing of RASSF10 promotes tumor growth in esophageal squamous cell carcinoma.. PubMed. 17(94). 169–78. 17 indexed citations
11.
Zong, Yan, Lei Zhong, Ping Yang, et al.. (2012). Ginsenoside Rg1 Attenuates Lipopolysaccharide-Induced Inflammatory Responses Via the Phospholipase C-γ1 Signaling Pathway in Murine BV-2 Microglial Cells. Current Medicinal Chemistry. 19(5). 770–779. 39 indexed citations
12.
Tang, Ya‐ling, et al.. (2011). [Anti-proliferative and anti-metastatic effects of curcumin on oral cancer cells].. PubMed. 29(1). 83–6. 14 indexed citations
13.
Guo, Jiazhi, Li X, Zhirong Zou, et al.. (2009). Hydrogen peroxide induces the activation of the phospholipase C-γ1 survival pathway in PC12 cells: protective role in apoptosis. Acta Biochimica et Biophysica Sinica. 41(8). 625–630. 12 indexed citations
14.
Zou, Tong, et al.. (2007). [Vitamin E inhibits homocysteine-mediated smooth muscle cell proliferation].. PubMed. 27(6). 783–6. 2 indexed citations
15.
Chatterjee, Saswati, Wei Li, Di Lü, et al.. (1999). Transduction of Primitive Human Marrow and Cord Blood-Derived Hematopoietic Progenitor Cells With Adeno-Associated Virus Vectors. Blood. 93(6). 1882–1894. 60 indexed citations
16.
Lü, Di, Hong Yang, & Mohan K. Raizada. (1998). Attenuation of ANG II actions by adenovirus delivery of AT1receptor antisense in neurons and SMC. American Journal of Physiology-Heart and Circulatory Physiology. 274(2). H719–H727. 6 indexed citations
17.
Lü, Di, Hong Yang, & Mohan K. Raizada. (1998). Involvement of p62 Nucleoporin in Angiotensin II-Induced Nuclear Translocation of STAT3 in Brain Neurons. Journal of Neuroscience. 18(4). 1329–1336. 12 indexed citations
18.
Chatterjee, Saswati, Di Lü, Greg M. Podsakoff, & Kah Keng Wong. (1995). Strategies for Efficient Gene Transfer into Hematopoietic Cells. Annals of the New York Academy of Sciences. 770(1). 79–90. 17 indexed citations
19.
Raizada, Mohan K., Di Lü, & Colin Sumners. (1995). AT1 Receptors and Angiotensin Actions in the Brain and Neuronal Cultures of Normotensive and Hypertensive Rats. Advances in experimental medicine and biology. 377. 331–348. 34 indexed citations
20.
Sumners, Colin, Mohan K. Raizada, Jian Kang, Di Lü, & Philip Posner. (1994). Receptor-Mediated Effects of Angiotensin II on Neurons. Frontiers in Neuroendocrinology. 15(3). 203–230. 69 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026