Luming Yin

3.7k total citations
22 papers, 1.2k citations indexed

About

Luming Yin is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Luming Yin has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Spectroscopy. Recurrent topics in Luming Yin's work include Alzheimer's disease research and treatments (8 papers), Advanced Proteomics Techniques and Applications (6 papers) and Ubiquitin and proteasome pathways (6 papers). Luming Yin is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Advanced Proteomics Techniques and Applications (6 papers) and Ubiquitin and proteasome pathways (6 papers). Luming Yin collaborates with scholars based in United States, Canada and Australia. Luming Yin's co-authors include Keith D. Wilkinson, Nicholas T. Seyfried, Duc M. Duong, Allan I. Levey, James J. Lah, Marla Gearing, Eric B. Dammer, Madhav Thambisetty, Juan C. Troncoso and Lingyan Ping and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Luming Yin

21 papers receiving 1.2k citations

Peers

Luming Yin

PHYSI

ONCOL

NEURO

Shruti Nayak United States

Daniel S. Spellman United States

Parvathi Rudrabhatla United States

Joanna Fombonne France

Jan Baumgart Germany

Lingyan Ping United States

Ji-Hoon Cho United States

Mario Nizzari Italy

Paola Strocchi Italy

Hyun Jin Cho South Korea

Shruti Nayak United States

Luming Yin

841 ×1.0

387 ×1.0

PHYSI

129 ×0.7

ONCOL

107 ×0.7

NEURO

91 ×0.8

Citations per year, relative to Luming Yin Luming Yin (= 1×) peers Shruti Nayak

Countries citing papers authored by Luming Yin

Since Specialization

Citations

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

Fields of papers citing papers by Luming Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Luming Yin. A scholar is included among the top collaborators of Luming Yin 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 Luming Yin. Luming Yin 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

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

Shantaraman, Anantharaman, Eric B. Dammer, Duc M. Duong, et al.. (2024). Network proteomics of the Lewy body dementia brain reveals presynaptic signatures distinct from Alzheimer’s disease. Molecular Neurodegeneration. 19(1). 60–60. 8 indexed citations

Wojtas, Aleksandra, Eric B. Dammer, Qi Guo, et al.. (2024). Proteomic changes in the human cerebrovasculature in Alzheimer's disease and related tauopathies linked to peripheral biomarkers in plasma and cerebrospinal fluid. Alzheimer s & Dementia. 20(6). 4043–4065. 20 indexed citations

Higginbotham, Lenora, Kathleen Carter, Eric B. Dammer, et al.. (2023). Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment. Neurobiology of Disease. 186. 106286–106286. 13 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

Dammer, Eric B., James Webster, Duc M. Duong, et al.. (2021). A proteomic network approach resolves stage-specific molecular phenotypes in chronic traumatic encephalopathy. Molecular Neurodegeneration. 16(1). 40–40. 7 indexed citations

Chang, Yie‐Hwa, Duc M. Duong, Johannes B. Goll, et al.. (2020). Proteomic Analysis of Human Immune Responses to Live-Attenuated Tularemia Vaccine. Vaccines. 8(3). 413–413. 6 indexed citations

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

Johnson, Erik C. B., Eric B. Dammer, Duc M. Duong, et al.. (2019). P2‐218: DEEP PROTEOMIC NETWORK ANALYSIS OF ALZHEIMER'S DISEASE BRAIN REVEALS ALTERATIONS IN RNA BINDING PROTEINS AND RNA SPLICING ASSOCIATED WITH DISEASE. Alzheimer s & Dementia. 15(7S_Part_13). 1 indexed citations

10.

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

11.

Johnson, Erik C. B., Eric B. Dammer, Duc M. Duong, et al.. (2018). Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease. Molecular Neurodegeneration. 13(1). 52–52. 135 indexed citations

12.

Seyfried, Nicholas T., Eric B. Dammer, Vivek Swarup, et al.. (2016). A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer’s Disease. Cell Systems. 4(1). 60–72.e4. 295 indexed citations

13.

Ali, Moiez, Tatiana A. Chernova, Gary P. Newnam, et al.. (2014). Stress-dependent Proteolytic Processing of the Actin Assembly Protein Lsb1 Modulates a Yeast Prion. Journal of Biological Chemistry. 289(40). 27625–27639. 25 indexed citations

14.

Eletr, Ziad M., Luming Yin, & Keith D. Wilkinson. (2013). BAP1 is phosphorylated at serine 592 in S‐phase following DNA damage. FEBS Letters. 587(24). 3906–3911. 38 indexed citations

15.

Wang, Tao, Luming Yin, Eric M. Cooper, et al.. (2009). Evidence for Bidentate Substrate Binding as the Basis for the K48 Linkage Specificity of Otubain 1. Journal of Molecular Biology. 386(4). 1011–1023. 118 indexed citations

16.

Yin, Luming, et al.. (2006). Specificity of Ubiquitin‐Binding Proteins: Recognition of Different Faces of Ubiquitin. Israel Journal of Chemistry. 46(2). 159–169. 1 indexed citations

17.

Gan‐Erdene, Tudeviin, Nagamalleswari Kolli, Luming Yin, et al.. (2003). Identification and Characterization of DEN1, a Deneddylase of the ULP Family. Journal of Biological Chemistry. 278(31). 28892–28900. 166 indexed citations

18.

Lin, Haijiang, et al.. (2001). Divergent N-terminal Sequences of a Deubiquitinating Enzyme Modulate Substrate Specificity. Journal of Biological Chemistry. 276(23). 20357–20363. 38 indexed citations

19.

Yin, Luming, et al.. (2000). Nonhydrolyzable Diubiquitin Analogues Are Inhibitors of Ubiquitin Conjugation and Deconjugation. Biochemistry. 39(32). 10001–10010. 83 indexed citations

20.

Yin, Luming. (1994). Effects of polyamines and kinetin on in vitro frond senescence in Lemna aequinoctialis. Zhiwu xuebao. 36(7). 522–527. 2 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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