Ruliang Li

2.2k total citations
33 papers, 1.8k citations indexed

About

Ruliang Li is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Ruliang Li has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Neurology and 17 papers in Nutrition and Dietetics. Recurrent topics in Ruliang Li's work include Prion Diseases and Protein Misfolding (27 papers), Neurological diseases and metabolism (19 papers) and Trace Elements in Health (17 papers). Ruliang Li is often cited by papers focused on Prion Diseases and Protein Misfolding (27 papers), Neurological diseases and metabolism (19 papers) and Trace Elements in Health (17 papers). Ruliang Li collaborates with scholars based in United States, United Kingdom and Taiwan. Ruliang Li's co-authors include Boon‐Seng Wong, Tao Pan, Pierluigi Gambetti, Man‐Sun Sy, Robert B. Petersen, Tong Liu, Man‐Sun Sy, David R. Brown, Shu G. Chen and Yaping Gu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Ruliang Li

33 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruliang Li United States 22 1.6k 823 805 240 95 33 1.8k
Stanley B. Prusiner United States 14 1.5k 0.9× 643 0.8× 800 1.0× 144 0.6× 66 0.7× 16 1.7k
D. Serban United States 13 1.5k 0.9× 679 0.8× 918 1.1× 156 0.7× 119 1.3× 19 1.6k
C. Mirenda United States 11 2.0k 1.2× 908 1.1× 1.2k 1.5× 114 0.5× 36 0.4× 12 2.0k
Mourad Tayebi United Kingdom 16 864 0.5× 246 0.3× 305 0.4× 296 1.2× 187 2.0× 43 1.1k
Rico Frigg Switzerland 13 1.3k 0.8× 435 0.5× 544 0.7× 87 0.4× 58 0.6× 19 1.4k
Keiichi Saeki Japan 20 805 0.5× 339 0.4× 379 0.5× 129 0.5× 20 0.2× 49 1.0k
Susan Joiner United Kingdom 24 2.1k 1.3× 780 0.9× 1.2k 1.5× 210 0.9× 31 0.3× 33 2.2k
J.-P. Deslys France 18 923 0.6× 341 0.4× 437 0.5× 100 0.4× 37 0.4× 25 1.0k
Nathan R. Deleault United States 15 1.8k 1.1× 739 0.9× 813 1.0× 191 0.8× 31 0.3× 16 1.8k
Rita Moos Switzerland 14 614 0.4× 192 0.2× 338 0.4× 261 1.1× 30 0.3× 22 830

Countries citing papers authored by Ruliang Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruliang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruliang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ruliang Li. A scholar is included among the top collaborators of Ruliang Li 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 Ruliang Li. Ruliang Li 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, Ting, et al.. (2019). Natural T cell autoreactivity to melanoma antigens: clonally expanded melanoma-antigen specific CD8 + memory T cells can be detected in healthy humans. Cancer Immunology Immunotherapy. 68(5). 709–720. 17 indexed citations
2.
Li, Ruliang, et al.. (2018). High-Throughput GLP-Capable Target Cell Visualization Assay for Measuring Cell-Mediated Cytotoxicity. Cells. 7(5). 35–35. 7 indexed citations
3.
4.
Zhang, Ting, et al.. (2017). A Positive Control for Detection of Functional CD4 T Cells in PBMC: The CPI Pool. Cells. 6(4). 47–47. 11 indexed citations
5.
Chen, Xing, Ruliang Li, Woineshet J. Zenebe, MyNgan Duong, & Stephen J. Nicholls. (2010). HYPERGLYCEMIA AND OXIDATION IMPAIRS THE IMPACT OF HIGH-DENSITY LIPOPROTEINS ON ENDOTHELIAL CELL GROWTH AND MIGRATION.. Journal of the American College of Cardiology. 55(10). A50.E477–A50.E477. 1 indexed citations
6.
Pan, Tao, Ruliang Li, Boon‐Seng Wong, et al.. (2005). Novel Antibody-Lectin Enzyme-Linked Immunosorbent Assay That Distinguishes Prion Proteins in Sporadic and Variant Cases of Creutzfeldt-Jakob Disease. Journal of Clinical Microbiology. 43(3). 1118–1126. 12 indexed citations
7.
8.
Mishra, Ravi Shankar, Subhabrata Basu, Yaping Gu, et al.. (2004). Protease-Resistant Human Prion Protein and Ferritin Are Cotransported across Caco-2 Epithelial Cells: Implications for Species Barrier in Prion Uptake from the Intestine. Journal of Neuroscience. 24(50). 11280–11290. 81 indexed citations
9.
Kang, Shin‐Chung, David R. Brown, Matthew Whiteman, et al.. (2004). Prion protein is ubiquitinated after developing protease resistance in the brains of scrapie‐infected mice. The Journal of Pathology. 203(1). 603–608. 39 indexed citations
10.
Sigurdsson, Einar M., Man‐Sun Sy, Ruliang Li, et al.. (2003). Anti-prion antibodies for prophylaxis following prion exposure in mice. Neuroscience Letters. 336(3). 185–187. 86 indexed citations
11.
Cui, Taian, Maki Daniels, Boon‐Seng Wong, et al.. (2003). Mapping the functional domain of the prion protein. European Journal of Biochemistry. 270(16). 3368–3376. 32 indexed citations
12.
Kang, Shin‐Chung, Ruliang Li, Chuanping Wang, et al.. (2003). Guanidine hydrochloride extraction and detection of prion proteins in mouse and hamster prion diseases by ELISA. The Journal of Pathology. 199(4). 534–541. 17 indexed citations
13.
Pan, Tao, Ruliang Li, Boon‐Seng Wong, Tong Liu, & Pierluigi Gambetti. (2002). Heterogeneity of normal prion protein in two‐dimensional immunoblot: presence of various glycosylated and truncated forms. Journal of Neurochemistry. 81(5). 1092–1101. 60 indexed citations
14.
Liu, Tong, Ruliang Li, Tao Pan, et al.. (2002). Intercellular Transfer of the Cellular Prion Protein. Journal of Biological Chemistry. 277(49). 47671–47678. 88 indexed citations
15.
Liu, Tong, Ruliang Li, Boon‐Seng Wong, et al.. (2001). Normal Cellular Prior Protein Is Preferentially Expressed on Subpopulations of Murine Hemopoietic Cells. The Journal of Immunology. 166(6). 3733–3742. 53 indexed citations
16.
Pan, Tao, Boon‐Seng Wong, Ruliang Li, et al.. (2001). Novel Differences between Two Human Prion Strains Revealed by Two-dimensional Gel Electrophoresis. Journal of Biological Chemistry. 276(40). 37284–37288. 51 indexed citations
17.
Wong, Boon‐Seng, Ruliang Li, Tao Pan, et al.. (2001). Increased levels of oxidative stress markers detected in the brains of mice devoid of prion protein. Journal of Neurochemistry. 76(2). 565–572. 140 indexed citations
18.
Liu, Tong, Theresa A. Zwingman, Ruliang Li, et al.. (2001). Differential expression of cellular prion protein in mouse brain as detected with multiple anti-PrP monoclonal antibodies. Brain Research. 896(1-2). 118–129. 56 indexed citations
19.
Li, Ruliang, Dacai Liu, Gianluigi Zanusso, et al.. (2001). The Expression and Potential Function of Cellular Prion Protein in Human Lymphocytes. Cellular Immunology. 207(1). 49–58. 83 indexed citations
20.
Wong, Boon‐Seng, Tao Pan, Tong Liu, et al.. (2000). Prion Disease: A Loss of Antioxidant Function?. Biochemical and Biophysical Research Communications. 275(2). 249–252. 84 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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