Di Lü

2.8k total citations
69 papers, 2.2k citations indexed

About

Di Lü is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Di Lü has authored 69 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Pharmacology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Di Lü's work include Biological and pharmacological studies of plants (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and Nerve injury and regeneration (6 papers). Di Lü is often cited by papers focused on Biological and pharmacological studies of plants (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and Nerve injury and regeneration (6 papers). Di Lü collaborates with scholars based in China, United States and Madagascar. Di Lü's co-authors include Lianmei Zhong, L. Jeffrey Medeiros, Jiazhi Guo, Mohan K. Raizada, Jun Sun, Yi Zong, Li Gui, Ligong Bian, Qinglong Ai and Limei Li and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Di Lü

65 papers receiving 2.2k 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 28 790 349 294 292 292 69 2.2k
Xing Wei China 33 1.1k 1.3× 182 0.5× 211 0.7× 267 0.9× 203 0.7× 122 3.3k
Xiaojiang Sun China 26 762 1.0× 277 0.8× 336 1.1× 92 0.3× 130 0.4× 55 2.0k
Agnese Gugliandolo Italy 28 1.0k 1.3× 317 0.9× 156 0.5× 117 0.4× 320 1.1× 79 2.5k
Hao Yang China 34 1.5k 1.9× 204 0.6× 430 1.5× 210 0.7× 268 0.9× 125 3.7k
Tan Zhang China 30 1.8k 2.2× 127 0.4× 274 0.9× 247 0.8× 300 1.0× 126 3.6k
Yifei Zhou China 32 1.2k 1.5× 480 1.4× 188 0.6× 288 1.0× 152 0.5× 87 2.9k
Xiaojie Wei China 27 695 0.9× 130 0.4× 206 0.7× 216 0.7× 85 0.3× 65 1.9k
Seungjoo Lee South Korea 24 615 0.8× 165 0.5× 134 0.5× 339 1.2× 88 0.3× 124 2.0k
Weifeng Zhang China 18 878 1.1× 129 0.4× 333 1.1× 321 1.1× 72 0.2× 43 1.8k
Hai-dong Guo China 25 1.3k 1.7× 107 0.3× 367 1.2× 293 1.0× 132 0.5× 61 2.6k

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.
Chen, Jinyan, Zhigang Hu, Zuyuan Lin, et al.. (2025). Machine learning predicts post-transplant muscle loss in hepatocellular carcinoma patients without sarcopenia. BMC Cancer. 25(1). 1565–1565.
2.
Yang, Han, Qi Liu, Shengli Cao, et al.. (2025). Programmed cell death-related genes define distinct molecular subtypes and risk profiles in hepatocellular carcinoma. Scientific Reports. 15(1). 37117–37117. 1 indexed citations
3.
Chen, Yan, Hengrui Zhang, Ye Zhang, et al.. (2022). Microglial integrin, chemokine receptors, and inflammatory response vary with development. Biochemical and Biophysical Research Communications. 615. 94–101. 1 indexed citations
4.
Song, Wei, Jinghui Li, Chuying Ma, et al.. (2022). Bioinspired super-strong aqueous synthetic tissue adhesives. Matter. 5(3). 933–956. 37 indexed citations
5.
Li, Run, Yu Zhao, Jiazhi Guo, et al.. (2021). Gastrodin Attenuates Lipopolysaccharide-Induced Inflammatory Response and Migration via the Notch-1 Signaling Pathway in Activated Microglia. NeuroMolecular Medicine. 24(2). 139–154. 29 indexed citations
6.
Chen, Lu, et al.. (2021). Association between autoimmune encephalitis and epilepsy: Systematic review and meta-analysis. Seizure. 91. 346–359. 18 indexed citations
7.
Li, Limei, Yao Li, Qing Li, et al.. (2020). Synergistic anti-inflammatory and osteogenic n-HA/resveratrol/chitosan composite microspheres for osteoporotic bone regeneration. Bioactive Materials. 6(5). 1255–1266. 124 indexed citations
8.
Li, Zhen, et al.. (2020). Characteristic and role of chromosomal type II toxin-antitoxin systems locus in Enterococcus faecalis ATCC29212. The Journal of Microbiology. 58(12). 1027–1036. 4 indexed citations
9.
He, Yun, Qiyao Li, Chuying Ma, et al.. (2019). Development of osteopromotive poly (octamethylene citrate glycerophosphate) for enhanced bone regeneration. Acta Biomaterialia. 93. 180–191. 25 indexed citations
10.
Li, Shipeng, et al.. (2019). Gastrodin pretreatment alleviates rat brain injury caused by cerebral ischemic-reperfusion. Brain Research. 1712. 207–216. 46 indexed citations
11.
Li, Limei, Qing Li, Jian Yang, et al.. (2018). Enhancement in mechanical properties and cell activity of polyurethane scaffold derived from gastrodin. Materials Letters. 228. 435–438. 13 indexed citations
12.
Ma, Chuying, Ethan Gerhard, Di Lü, & Jian Yang. (2018). Citrate chemistry and biology for biomaterials design. Biomaterials. 178. 383–400. 87 indexed citations
13.
Xu, Bin, et al.. (2017). Application of different patella height indices in patients undergoing total knee arthroplasty. Journal of Orthopaedic Surgery and Research. 12(1). 191–191. 18 indexed citations
14.
Lü, Di, et al.. (2017). The efficacy and safety of using a bipolar sealer to prevent blood loss in spine surgery: A meta-analysis. International Journal of Surgery. 46. 37–46. 4 indexed citations
15.
Wu, Yuanbo, et al.. (2016). PIM1 polymorphism and PIM1 expression as predisposing factors of esophageal squamous cell carcinoma in the Asian population. OncoTargets and Therapy. 9. 2919–2919. 1 indexed citations
16.
Zong, Yi, Lin Sun, Bin Liu, et al.. (2012). Resveratrol Inhibits LPS-Induced MAPKs Activation via Activation of the Phosphatidylinositol 3-Kinase Pathway in Murine RAW 264.7 Macrophage Cells. PLoS ONE. 7(8). e44107–e44107. 142 indexed citations
17.
Zhong, Lianmei, Yi Zong, Lin Sun, et al.. (2012). Resveratrol Inhibits Inflammatory Responses via the Mammalian Target of Rapamycin Signaling Pathway in Cultured LPS-Stimulated Microglial Cells. PLoS ONE. 7(2). e32195–e32195. 142 indexed citations
18.
Lü, Di, Kaushali A. Patel, Madeleine Duvic, & Dan Jones. (2002). Clinical and pathological spectrum of CD8‐positive cutaneous T‐cell lymphomas. Journal of Cutaneous Pathology. 29(8). 465–472. 52 indexed citations
19.
Lü, Di, Oscar C Estalilla, John T. Manning, & L. Jeffrey Medeiros. (2000). Sinus Histiocytosis with Massive Lymphadenopathy and Malignant Lymphoma Involving the Same Lymph Node: A Report of Four Cases and Review of the Literature. Modern Pathology. 13(4). 414–419. 85 indexed citations
20.
Lü, Di, Colin Sumners, & Mohan K. Raizada. (1994). Regulation of Angiotensin II Type 1 Receptor mRNA in Neuronal Cultures of Normotensive and Spontaneously Hypertensive Rat Brains by Phorbol Esters and Forskolin. Journal of Neurochemistry. 62(6). 2079–2084. 16 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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