Lingyan Ping

3.9k total citations
26 papers, 870 citations indexed

About

Lingyan Ping is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Lingyan Ping has authored 26 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Physiology and 9 papers in Spectroscopy. Recurrent topics in Lingyan Ping's work include Alzheimer's disease research and treatments (12 papers), Advanced Proteomics Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Lingyan Ping is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Advanced Proteomics Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Lingyan Ping collaborates with scholars based in United States, China and Germany. Lingyan Ping's co-authors include Duc M. Duong, James J. Lah, Allan I. Levey, Nicholas T. Seyfried, Eric B. Dammer, Marla Gearing, Erik C. B. Johnson, Luming Yin, Maotian Zhou and Jonathan D. Glass and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Lingyan Ping

23 papers receiving 861 citations

Peers

Lingyan Ping

PHYSI

NEURO

SPECT

PMH

Luming Yin United States

Ping‐Chung Chen United States

Mikael K. Gustavsson Sweden

Sofia Söllvander Sweden

Payam Emami Khoonsari Sweden

Kai Schlepckow Germany

Inga Volkmann Sweden

Robert Chott United States

Ursula Mönning Germany

Romel Dator United States

Luming Yin United States

Lingyan Ping

849 ×1.7

384 ×0.9

PHYSI

146 ×0.9

NEURO

95 ×0.8

SPECT

65 ×0.6

PMH

Citations per year, relative to Lingyan Ping Lingyan Ping (= 1×) peers Luming Yin

Countries citing papers authored by Lingyan Ping

Since Specialization

Citations

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

Fields of papers citing papers by Lingyan Ping

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyan Ping

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

All Works

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20 of 20 papers shown

Carter, Kathleen, Lingyan Ping, Duc M. Duong, et al.. (2025). Proteomic subtyping of Alzheimer's disease CSF links blood–brain barrier dysfunction to reduced levels of tau and synaptic biomarkers. Alzheimer s & Dementia. 21(11). e70830–e70830.

Guo, Qi, Lingyan Ping, Eric B. Dammer, et al.. (2024). Heparin-enriched plasma proteome is significantly altered in Alzheimer’s disease. Molecular Neurodegeneration. 19(1). 67–67. 5 indexed citations

Watson, Caroline M, Eric B. Dammer, Lingyan Ping, et al.. (2023). Quantitative Mass Spectrometry Analysis of Cerebrospinal Fluid Protein Biomarkers in Alzheimer’s Disease. Scientific Data. 10(1). 261–261. 21 indexed citations

Modeste, Erica, Lingyan Ping, Caroline M Watson, et al.. (2023). Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease. Molecular Neurodegeneration. 18(1). 48–48. 24 indexed citations

Eninger, Timo, Stephan A. Müller, Mehtap Bacioglu, et al.. (2022). Signatures of glial activity can be detected in the CSF proteome. Proceedings of the National Academy of Sciences. 119(24). e2119804119–e2119804119. 15 indexed citations

Ping, Lingyan, et al.. (2022). Interrogating the Metabolomic Profile of Amyotrophic Lateral Sclerosis in the Post-Mortem Human Brain by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Mass Spectrometry Imaging (MSI). Metabolites. 12(11). 1096–1096. 7 indexed citations

Dammer, Eric B., Lingyan Ping, Duc M. Duong, et al.. (2022). Multi-platform proteomic analysis of Alzheimer’s disease cerebrospinal fluid and plasma reveals network biomarkers associated with proteostasis and the matrisome. Alzheimer s Research & Therapy. 14(1). 174–174. 78 indexed citations

Gao, Yuan, Lingyan Ping, Duc M. Duong, et al.. (2021). Mass-Spectrometry-Based Near-Complete Draft of the Saccharomyces cerevisiae Proteome. Journal of Proteome Research. 20(2). 1328–1340. 10 indexed citations

Kundinger, Sean R., Eric B. Dammer, Luming Yin, et al.. (2021). Phosphorylation regulates arginine-rich RNA-binding protein solubility and oligomerization. Journal of Biological Chemistry. 297(5). 101306–101306. 14 indexed citations

10.

Ramesha, Supriya, Laura D. Weinstock, Tianwen Gao, et al.. (2021). Extracellular signal‐regulated kinase regulates microglial immune responses in Alzheimer’s disease. Journal of Neuroscience Research. 99(6). 1704–1721. 61 indexed citations

11.

Zhou, Maotian, Rafi U. Haque, Eric B. Dammer, et al.. (2020). Targeted mass spectrometry to quantify brain-derived cerebrospinal fluid biomarkers in Alzheimer’s disease. Clinical Proteomics. 17(1). 19–19. 56 indexed citations

12.

Ping, Lingyan, Sean R. Kundinger, Duc M. Duong, et al.. (2020). Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease. Scientific Data. 7(1). 315–315. 76 indexed citations

13.

Higginbotham, Lenora, Lingyan Ping, Eric B. Dammer, et al.. (2020). Integrated proteomics reveals brain-based cerebrospinal fluid biomarkers in asymptomatic and symptomatic Alzheimer’s disease. Science Advances. 6(43). 194 indexed citations

14.

Higginbotham, Lenora, Lingyan Ping, Eric B. Dammer, et al.. (2020). Integrated Proteomics Reveals Brain-Based Cerebrospinal Fluid Biomarkers in Asymptomatic and Symptomatic Alzheimer’s Disease (4738). Neurology. 94(15_supplement). 3 indexed citations

15.

Ping, Lingyan, Duc M. Duong, Luming Yin, et al.. (2018). Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease. Scientific Data. 5(1). 180036–180036. 135 indexed citations

16.

Gao, Yuan, Yanchang Li, Chengpu Zhang, et al.. (2016). Enhanced Purification of Ubiquitinated Proteins by Engineered Tandem Hybrid Ubiquitin-binding Domains (ThUBDs). Molecular & Cellular Proteomics. 15(4). 1381–1396. 45 indexed citations

17.

Song, Jian, et al.. (2016). Native low density lipoprotein promotes lipid raft formation in macrophages. Molecular Medicine Reports. 13(3). 2087–2093. 10 indexed citations

18.

Seyfried, Nicholas T., Lingyan Ping, Eric B. Dammer, et al.. (2016). O5‐06‐02: Proteomic Network Analysis to Find Common Mechanisms Underlying Alzheimer's Disease and PD. Alzheimer s & Dementia. 12(7S_Part_8).

19.

Zhai, Linhui, Yanchang Li, Ning Li, et al.. (2015). Development of Gel-Filter Method for High Enrichment of Low-Molecular Weight Proteins from Serum. PLoS ONE. 10(2). e0115862–e0115862. 12 indexed citations

20.

Oga, Atsunori, Shigeto Kawauchi, Hideki Izumi, et al.. (2002). New perspectives for tumor pathology provided by comparative genomic hybridization. International Journal of Clinical Oncology. 7(3). 133–137. 6 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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