Xiaoli Yu

1.2k total citations
50 papers, 889 citations indexed

About

Xiaoli Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaoli Yu has authored 50 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Immunology and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoli Yu's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Multiple Sclerosis Research Studies (14 papers) and Peripheral Neuropathies and Disorders (10 papers). Xiaoli Yu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Multiple Sclerosis Research Studies (14 papers) and Peripheral Neuropathies and Disorders (10 papers). Xiaoli Yu collaborates with scholars based in United States, China and United Kingdom. Xiaoli Yu's co-authors include Gregory P. Owens, Mark P. Burgoon, Don Gilden, Jeffrey L. Bennett, Donald H. Gilden, Michael W. Graner, Peter G. E. Kennedy, Alanna Ritchie, R. Anthony Williamson and Andrew Shearer and has published in prestigious journals such as Environmental Science & Technology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Xiaoli Yu

48 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Yu United States 18 416 329 198 198 173 50 889
H P Ekre Sweden 11 335 0.8× 650 2.0× 187 0.9× 224 1.1× 122 0.7× 13 1.2k
Foroozan Mokhtarian United States 16 257 0.6× 486 1.5× 145 0.7× 174 0.9× 96 0.6× 39 1.0k
Hans-Peter T. Ekre Sweden 9 196 0.5× 599 1.8× 219 1.1× 88 0.4× 139 0.8× 14 1.0k
Anja Windhagen Germany 18 412 1.0× 879 2.7× 130 0.7× 134 0.7× 58 0.3× 32 1.3k
Kavitha Narayan United States 24 235 0.6× 846 2.6× 679 3.4× 68 0.3× 63 0.4× 34 2.2k
Kathrin Held Germany 15 145 0.3× 614 1.9× 140 0.7× 64 0.3× 29 0.2× 27 1.0k
Tamara Reshef Israel 14 121 0.3× 1.1k 3.3× 481 2.4× 55 0.3× 203 1.2× 20 1.8k
Riccardo Navone Italy 10 209 0.5× 237 0.7× 174 0.9× 22 0.1× 58 0.3× 12 849
Ingeborg Huitinga Netherlands 12 112 0.3× 308 0.9× 105 0.5× 56 0.3× 42 0.2× 16 713
Brigit G. Durell United States 15 306 0.7× 1.3k 4.0× 161 0.8× 42 0.2× 36 0.2× 17 1.6k

Countries citing papers authored by Xiaoli Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Yu. A scholar is included among the top collaborators of Xiaoli Yu 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 Xiaoli Yu. Xiaoli Yu 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.
Apeltsin, Leonard & Xiaoli Yu. (2025). IgG Biomarkers in Multiple Sclerosis: Deciphering Their Puzzling Protein A Connection. Biomolecules. 15(3). 369–369.
2.
Yu, Xiaoli, Xiao Han, Yue Mi, et al.. (2024). Anti-inflammatory and cytotoxicity nitrogenous merosesquiterpenoids from the sponge Pseudoceratina purpurea. Phytochemistry. 226. 114220–114220. 5 indexed citations
3.
Kennedy, Peter G. E., et al.. (2024). Immunoglobulin G and Complement as Major Players in the Neurodegeneration of Multiple Sclerosis. Biomolecules. 14(10). 1210–1210. 1 indexed citations
4.
Graner, Michael W., Cheryl L. Beseler, Gill Webster, et al.. (2023). Plasma IgG aggregates as biomarkers for multiple sclerosis. Clinical Immunology. 256. 109801–109801. 6 indexed citations
5.
Kennedy, Peter G. E., et al.. (2023). The elusive nature of the oligoclonal bands in multiple sclerosis. Journal of Neurology. 271(1). 116–124. 11 indexed citations
6.
Graner, Michael W., Petr Pauček, Cheryl L. Beseler, et al.. (2023). Multiple sclerosis plasma IgG aggregates induce complement-dependent neuronal apoptosis. Cell Death and Disease. 14(4). 254–254. 15 indexed citations
7.
Coughlan, Christina, Robert G. Kowalski, Peter G. E. Kennedy, et al.. (2022). Phenotype and Neuronal Cytotoxic Function of Glioblastoma Extracellular Vesicles. Biomedicines. 10(11). 2718–2718. 5 indexed citations
8.
Kennedy, Peter G. E., Michael W. Graner, Xiaomeng Li, et al.. (2021). Aberrant Immunoglobulin G Glycosylation in Multiple Sclerosis. Journal of Neuroimmune Pharmacology. 17(1-2). 218–227. 18 indexed citations
9.
Jin, Tianyun, Pinglin Li, Xuli Tang, et al.. (2021). Jellynolide A, pokepola esters, and sponalisolides from the aquaculture sponge Spongia officinalis L. Phytochemistry. 194. 113006–113006. 7 indexed citations
10.
Kennedy, Peter G. E., et al.. (2020). Antibodies from Multiple Sclerosis Brain Identified Epstein-Barr Virus Nuclear Antigen 1 & 2 Epitopes which Are Recognized by Oligoclonal Bands. Journal of Neuroimmune Pharmacology. 16(3). 567–580. 29 indexed citations
12.
Kennedy, Peter G. E., et al.. (2020). Varicella-Zoster Virus infected human neurons are resistant to apoptosis. Journal of NeuroVirology. 26(3). 330–337. 8 indexed citations
13.
Zhao, Feipeng, Tingting Tang, Mengmeng Wang, et al.. (2019). Development of a Colloidal Gold Immunochromatographic Strip Assay for Rapid Detection of Bovine Rotavirus. Viral Immunology. 32(9). 393–401. 16 indexed citations
14.
Beseler, Cheryl L., Timothy Vollmer, Michael W. Graner, & Xiaoli Yu. (2017). The complex relationship between oligoclonal bands, lymphocytes in the cerebrospinal fluid, and immunoglobulin G antibodies in multiple sclerosis: Indication of serum contribution. PLoS ONE. 12(10). e0186842–e0186842. 29 indexed citations
15.
Baird, Nicholas L., Xiaoli Yu, Stipan Jonjić, et al.. (2014). Varicella zoster virus DNA does not accumulate in infected human neurons. Virology. 458-459. 1–3. 15 indexed citations
16.
Yu, Xiaoli. (2012). Determination of Arsenic and Mercury in Seafood by Hydride Generation-atomic Fluorescence Spectrometry. Environmental Science & Technology. 1 indexed citations
17.
Yu, Xiaoli, et al.. (2011). Identification of peptide targets in neuromyelitis optica. Journal of Neuroimmunology. 236(1-2). 65–71. 12 indexed citations
18.
Owens, Gregory P., Jeffrey L. Bennett, Hans Lassmann, et al.. (2009). Antibodies produced by clonally expanded plasma cells in multiple sclerosis cerebrospinal fluid. Annals of Neurology. 65(6). 639–649. 153 indexed citations
20.
Ritchie, Alanna, Donald H. Gilden, R. Anthony Williamson, et al.. (2004). Comparative Analysis of the CD19+ and CD138+ Cell Antibody Repertoires in the Cerebrospinal Fluid of Patients with Multiple Sclerosis. The Journal of Immunology. 173(1). 649–656. 70 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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