Liping Kong

1.1k total citations
29 papers, 848 citations indexed

About

Liping Kong is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Liping Kong has authored 29 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Immunology. Recurrent topics in Liping Kong's work include Catalysis and Hydrodesulfurization Studies (6 papers), Catalysis for Biomass Conversion (5 papers) and Lignin and Wood Chemistry (4 papers). Liping Kong is often cited by papers focused on Catalysis and Hydrodesulfurization Studies (6 papers), Catalysis for Biomass Conversion (5 papers) and Lignin and Wood Chemistry (4 papers). Liping Kong collaborates with scholars based in China, United States and Russia. Liping Kong's co-authors include Liyi Dai, Yuanyuan Wang, Howard Dang, Chunze Liu, Noriyoshi Ogawa, Toru Nakabayashi, H. Stan McGuff, George T. Liu, N Talal and D. Guerrero and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Fuel.

In The Last Decade

Liping Kong

29 papers receiving 829 citations

Peers

Liping Kong

PHYSI

IMMUN

Masanori Sasaki Japan

Seung Joon Chung United States

Anindita Bhattacharya India

Zhen Tan China

Chunwei Li China

Hongchi Yu China

Maria M. Xu United States

Brian Scharf United States

Wei Tan United States

Masanori Sasaki Japan

Liping Kong

122 ×0.6

129 ×0.6

PHYSI

211 ×1.0

156 ×1.0

IMMUN

21 ×0.2

Citations per year, relative to Liping Kong Liping Kong (= 1×) peers Masanori Sasaki

Countries citing papers authored by Liping Kong

Since Specialization

Citations

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

Fields of papers citing papers by Liping Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Liping Kong. A scholar is included among the top collaborators of Liping Kong 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 Liping Kong. Liping Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kong, Liping. (2023). Optimization Analysis of the Path of Ideological and Political Construction in Higher Vocational English Courses Based on Intelligent Data Analysis. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

Shen, Shi‐Li, Mingbiao Chen, Juan Huang, et al.. (2023). Reduced cadmium toxicity in rapeseed via alteration of root properties and accelerated plant growth by a nitrogen-fixing bacterium. Journal of Hazardous Materials. 449. 131040–131040. 20 indexed citations

Zhang, Qingxiu, Hui Yang, Xiaomei Liu, et al.. (2022). Blocking postsynaptic density-93 binding to C-X3-C motif chemokine ligand 1 promotes microglial phenotypic transformation during acute ischemic stroke. Neural Regeneration Research. 18(5). 1033–1033. 8 indexed citations

Kong, Liping, Liyi Dai, & Yuanyuan Wang. (2022). Enhancing aromatic hydrocarbon formation via catalytic depolymerization of lignin waste over Ru/WOx/N-C catalyst. Fuel. 332. 126263–126263. 18 indexed citations

Qiao, J. H., Kai Chen, Hongwei Cao, et al.. (2021). Plasma spray–chemical vapor deposition of nanotextured film with α/β Bi2O3 heterostructure and photocatalytic degradation performance. Vacuum. 188. 110206–110206. 9 indexed citations

Zhang, Qingxiu, Hui Yang, Hong Gao, et al.. (2020). PSD-93 Interacts with SynGAP and Promotes SynGAP Ubiquitination and Ischemic Brain Injury in Mice. Translational Stroke Research. 11(5). 1137–1147. 21 indexed citations

Kong, Liping, et al.. (2019). Efficient and controllable alcoholysis of Kraft lignin catalyzed by porous zeolite-supported nickel-copper catalyst. Bioresource Technology. 276. 310–317. 79 indexed citations

Kong, Liping, et al.. (2019). Catalytic hydrotreatment of kraft lignin into aromatic alcohols over nickel-rhenium supported on niobium oxide catalyst. Bioresource Technology. 299. 122582–122582. 67 indexed citations

Kong, Liping, et al.. (2019). Enhanced methane yield from supercritical water gasification of pentadecanoic acid. Fuel Processing Technology. 193. 48–52. 8 indexed citations

10.

Xu, Xu, et al.. (2017). Clinical implication of triamcinolone in aqueous humor after depository sub-Tenon application. Journal of Cataract & Refractive Surgery. 43(11). 1383–1390. 11 indexed citations

11.

Kong, Liping, Chengcheng Wang, Feilong Gong, et al.. (2016). Magnetic Core–Shell Nanostructured Palladium Catalysts for Green Oxidation of Benzyl Alcohol. Catalysis Letters. 146(7). 1321–1330. 16 indexed citations

12.

Zhu, Shasha, Li Cao, Jingai Zhu, et al.. (2013). Identification of maternal serum microRNAs as novel non-invasive biomarkers for prenatal detection of fetal congenital heart defects. Clinica Chimica Acta. 424. 66–72. 87 indexed citations

13.

Cao, Li, Liping Kong, Zhangbin Yu, et al.. (2012). microRNA expression profiling of the developing mouse heart. International Journal of Molecular Medicine. 30(5). 1095–1104. 44 indexed citations

14.

Nakabayashi, Toru, Ken-mei Sakata, Atsuko Sakata, et al.. (2001). TGF-β1 Null Mutation Leads to CD154 Upregulated Expression in Affected Tissues. Inflammation. 25(2). 69–73. 2 indexed citations

15.

Kong, Liping, Noriyoshi Ogawa, H. Stan McGuff, et al.. (1998). Bcl-2 Family Expression in Salivary Glands from Patients with Primary Sjögren's Syndrome: Involvement of Bax in Salivary Gland Destruction. Clinical Immunology and Immunopathology. 88(2). 133–141. 65 indexed citations

16.

Sakata, Ken-mei, Atsuko Sakata, R. Espinosa, et al.. (1998). Fas (CD95)-transduced signal preferentially stimulates lupus peripheral T lymphocytes. European Journal of Immunology. 28(9). 2648–2660. 26 indexed citations

17.

Sakata, Ken-mei, Atsuko Sakata, Liping Kong, Howard Dang, & Norman Talal. (1998). Role of Fas/FasL Interaction in Physiology and Pathology: The Good and the Bad. Clinical Immunology and Immunopathology. 87(1). 1–7. 21 indexed citations

18.

Kong, Liping, et al.. (1998). CD4 mononuclear cell infiltrates and Fas/Fas ligand positive mammary gland cells in breast tissue from a patient with Sjögren's syndrome.. PubMed. 25(6). 1226–31. 3 indexed citations

19.

Kong, Liping, Noriyoshi Ogawa, Toru Nakabayashi, et al.. (1997). Fas and Fas ligand expression in the salivary glands of patients with primary Sjögren's syndrome. Arthritis & Rheumatism. 40(1). 87–97. 185 indexed citations

20.

Ogawa, Noriyoshi, et al.. (1996). Lymphocyte apoptosis and apoptosis‐associated gene expression in Sjögren's syndrome. Arthritis & Rheumatism. 39(11). 1875–1885. 30 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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