Leping Liu

1.8k total citations
53 papers, 1.4k citations indexed

About

Leping Liu is a scholar working on Organic Chemistry, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Leping Liu has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 18 papers in Molecular Biology and 8 papers in Psychiatry and Mental health. Recurrent topics in Leping Liu's work include Catalytic Alkyne Reactions (14 papers), Cyclopropane Reaction Mechanisms (13 papers) and Catalytic C–H Functionalization Methods (7 papers). Leping Liu is often cited by papers focused on Catalytic Alkyne Reactions (14 papers), Cyclopropane Reaction Mechanisms (13 papers) and Catalytic C–H Functionalization Methods (7 papers). Leping Liu collaborates with scholars based in China, United States and Australia. Leping Liu's co-authors include Min Shi, Jie Tang, Gerald B. Hammond, Jian‐Mei Lu, Min Jiang, Xing Zhang, Weilong Hong, Yongheng Bai, Hong Lu and Lianfeng Wu and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and Journal of Cleaner Production.

In The Last Decade

Leping Liu

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leping Liu China 20 715 292 123 90 88 53 1.4k
Zhubo Li China 19 115 0.2× 397 1.4× 68 0.6× 13 0.1× 30 0.3× 57 1.1k
Fulong Li China 22 217 0.3× 899 3.1× 183 1.5× 45 0.5× 46 0.5× 74 1.6k
Mengyuan Zhu China 19 209 0.3× 546 1.9× 51 0.4× 15 0.2× 41 0.5× 39 1.1k
Kezhou Wang China 19 354 0.5× 278 1.0× 79 0.6× 84 0.9× 45 0.5× 38 832
Liangliang Shi China 19 398 0.6× 408 1.4× 235 1.9× 65 0.7× 69 0.8× 65 1.1k
Jyoti Agarwal India 17 406 0.6× 576 2.0× 86 0.7× 70 0.8× 41 0.5× 58 1.2k
Daulat Bikram Khadka South Korea 17 373 0.5× 352 1.2× 70 0.6× 32 0.4× 63 0.7× 34 879
Yunqing Lin China 11 427 0.6× 467 1.6× 202 1.6× 52 0.6× 65 0.7× 21 1.1k
Xingxian Zhang China 16 616 0.9× 295 1.0× 34 0.3× 73 0.8× 42 0.5× 85 1.1k

Countries citing papers authored by Leping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Leping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Leping Liu. A scholar is included among the top collaborators of Leping 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 Leping Liu. Leping 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
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Shi, Yaning, Leping Liu, Chanjuan Zhang, et al.. (2025). Isovaleroylbinankadsurin A ameliorates atherosclerosis and restenosis by promoting LXRα signaling pathway and inhibiting TGF-β1 and FHL1 signaling pathways. Phytomedicine. 139. 156451–156451. 2 indexed citations
3.
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Jiang, Zhenzhen, Leping Liu, Lin Du, et al.. (2024). Machine learning for the early prediction of acute respiratory distress syndrome (ARDS) in patients with sepsis in the ICU based on clinical data. Heliyon. 10(6). e28143–e28143. 10 indexed citations
5.
Liu, Leping, et al.. (2023). Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients. Frontiers in Neuroinformatics. 16. 1063610–1063610. 1 indexed citations
6.
Liu, Leping, et al.. (2022). Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning. Frontiers in Genetics. 13. 858466–858466. 11 indexed citations
7.
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Liu, Leping, Lu Lu, Qiangqiang Zhao, et al.. (2021). Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine Learning. Frontiers in Cell and Developmental Biology. 9. 756340–756340. 33 indexed citations
9.
Zhang, Chanjuan, Neng Zhu, Yuxiang Wang, et al.. (2021). Celastrol Attenuates Lipid Accumulation and Stemness of Clear Cell Renal Cell Carcinoma via CAV-1/LOX-1 Pathway. Frontiers in Pharmacology. 12. 658092–658092. 25 indexed citations
10.
Zhao, Qinyu, Leping Liu, Lu Lu, Rong Gui, & Yanwei Luo. (2021). A Novel Intercellular Communication-Associated Gene Signature for Prognostic Prediction and Clinical Value in Patients With Lung Adenocarcinoma. Frontiers in Genetics. 12. 702424–702424. 5 indexed citations
11.
Ding, Saidan, et al.. (2021). Autocrine S100B in astrocytes promotes VEGF-dependent inflammation and oxidative stress and causes impaired neuroprotection. Cell Biology and Toxicology. 39(5). 1–25. 18 indexed citations
12.
Liu, Leping, et al.. (2019). <p>Fecal Carriage and Epidemiology of Carbapenem-Resistant <em>Enterobacteriaceae</em> Among Hospitalized Patients in a University Hospital</p>. Infection and Drug Resistance. Volume 12. 3935–3942. 22 indexed citations
13.
Zhang, Xing, Hong Lu, Weilong Hong, et al.. (2018). Tyrphostin B42 attenuates trichostatin A-mediated resistance in pancreatic cancer cells by antagonizing IL-6/JAK2/STAT3 signaling. Oncology Reports. 39(4). 1892–1900. 16 indexed citations
14.
Bai, Yongheng, Cunzao Wu, Weilong Hong, et al.. (2017). Anti-fibrotic effect of Sedum sarmentosum Bunge extract in kidneys via the hedgehog signaling pathway. Molecular Medicine Reports. 16(1). 737–745. 7 indexed citations
15.
Ding, Saidan, Weikan Wang, Xuebao Wang, et al.. (2015). Dopamine Burden Triggers Neurodegeneration via Production and Release of TNF-α from Astrocytes in Minimal Hepatic Encephalopathy. Molecular Neurobiology. 53(8). 5324–5343. 14 indexed citations
16.
Ding, Saidan, Jianjing Yang, Leping Liu, et al.. (2014). Elevated dopamine induces minimal hepatic encephalopathy by activation of astrocytic NADPH oxidase and astrocytic protein tyrosine nitration. The International Journal of Biochemistry & Cell Biology. 55. 252–263. 8 indexed citations
17.
Ding, Saidan, Yiru Ye, Jianjing Yang, et al.. (2014). Elevated intracranial dopamine impairs the glutamate-nitric oxide-cyclic guanosine monophosphate pathway in cortical astrocytes in rats with minimal hepatic encephalopathy. Molecular Medicine Reports. 10(3). 1215–1224. 9 indexed citations
18.
Ding, Saidan, et al.. (2013). Dopamine from cirrhotic liver contributes to the impaired learning and memory ability of hippocampus in minimal hepatic encephalopathy. Hepatology International. 7(3). 923–936. 16 indexed citations
19.
Shi, Min, Min Jiang, & Leping Liu. (2006). Lewis acid catalyzed ring-opening reactions of methylenecyclopropanes with diphenylphosphine oxide in the presence of sulfur or selenium. Organic & Biomolecular Chemistry. 5(3). 438–440. 35 indexed citations
20.

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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