Eric B. Dammer

15.3k total citations · 3 hit papers
138 papers, 6.5k citations indexed

About

Eric B. Dammer is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Eric B. Dammer has authored 138 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 63 papers in Physiology and 24 papers in Neurology. Recurrent topics in Eric B. Dammer's work include Alzheimer's disease research and treatments (58 papers), Neuroinflammation and Neurodegeneration Mechanisms (21 papers) and Bioinformatics and Genomic Networks (18 papers). Eric B. Dammer is often cited by papers focused on Alzheimer's disease research and treatments (58 papers), Neuroinflammation and Neurodegeneration Mechanisms (21 papers) and Bioinformatics and Genomic Networks (18 papers). Eric B. Dammer collaborates with scholars based in United States, China and Germany. Eric B. Dammer's co-authors include Nicholas T. Seyfried, Allan I. Levey, James J. Lah, Duc M. Duong, Gang Wang, Marla Gearing, Junmin Peng, Marion B. Sewer, Madhav Thambisetty and Juan C. Troncoso and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Eric B. Dammer

131 papers receiving 6.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The endosomal-lysosomal system: from acidification and cargo sorting to neurodegeneration

2015 479 citations Eric B. Dammer, Gang Wang et al. profile →
Evidence for brain glucose dysregulation in Alzheimer's disease

2017 360 citations Eric B. Dammer, Juan C. Troncoso et al. profile →
Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis

2021 201 citations Aliza P. Wingo, Yue Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric B. Dammer United States	44	3.6k	2.2k	1.1k	895	626	138	6.5k
Mikko Hiltunen Finland	40	2.5k 0.7×	2.6k 1.1×	936 0.9×	732 0.8×	975 1.6×	157	5.9k
Nicholas T. Seyfried United States	54	5.2k 1.4×	3.0k 1.3×	1.4k 1.3×	948 1.1×	973 1.6×	216	9.1k
Verónica Galván United States	45	2.6k 0.7×	2.9k 1.3×	1.1k 1.0×	493 0.6×	1.1k 1.8×	93	6.7k
Efrat Levy United States	45	3.8k 1.0×	3.9k 1.8×	1.1k 1.0×	789 0.9×	872 1.4×	105	7.5k
Miguel Medina Spain	45	3.4k 0.9×	2.4k 1.1×	700 0.6×	660 0.7×	1.3k 2.1×	120	7.0k
Xia Liu China	51	4.1k 1.1×	2.3k 1.0×	963 0.9×	836 0.9×	2.1k 3.3×	195	8.8k
Miguel Calero Spain	39	2.9k 0.8×	3.3k 1.5×	1.3k 1.2×	759 0.8×	747 1.2×	132	6.5k
Stefan F. Lichtenthaler Germany	55	4.2k 1.2×	4.3k 1.9×	1.0k 0.9×	617 0.7×	1.3k 2.1×	182	9.0k
Brett Garner Australia	48	2.8k 0.8×	2.1k 0.9×	553 0.5×	754 0.8×	913 1.5×	120	6.7k
Aiwu Cheng United States	40	3.5k 1.0×	2.6k 1.2×	1.3k 1.2×	434 0.5×	1.3k 2.0×	54	7.8k

Countries citing papers authored by Eric B. Dammer

Since Specialization

Citations

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

Fields of papers citing papers by Eric B. Dammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric B. Dammer. 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 Eric B. Dammer. The network helps show where Eric B. Dammer may publish in the future.

Co-authorship network of co-authors of Eric B. Dammer

This figure shows the co-authorship network connecting the top 25 collaborators of Eric B. Dammer. A scholar is included among the top collaborators of Eric B. Dammer 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 Eric B. Dammer. Eric B. Dammer 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

Wu, Timothy, Anh‐Tuan Le, Alma Perez, et al.. (2025). Longitudinal multi-omics in alpha-synuclein Drosophila model discriminates disease- from age-associated pathologies in Parkinson’s disease. npj Parkinson s Disease. 11(1). 46–46. 1 indexed citations

Chen, Chih‐Yu, Kristal Maner-Smith, Jun Young Ahn, et al.. (2025). Integrative brain omics approach highlights sn-1 lysophosphatidylethanolamine in Alzheimer’s dementia. Nature Communications. 16(1). 9627–9627.

Wilson, Kenneth A., Tyler Hilsabeck, Eric B. Dammer, et al.. (2025). Neuronal glycogen breakdown mitigates tauopathy via pentose-phosphate-pathway-mediated oxidative stress reduction. Nature Metabolism. 7(7). 1375–1391. 1 indexed citations

Kumar, Prateek, Claudia Espinosa‐García, Ruth S. Nelson, et al.. (2024). Native-state proteomics of Parvalbumin interneurons identifies unique molecular signatures and vulnerabilities to early Alzheimer’s pathology. Nature Communications. 15(1). 2823–2823. 25 indexed citations

Čarná, Mária, Kateřina Sheardová, Yonas E. Geda, et al.. (2023). Missorting of plasma miRNAs in aging and Alzheimer's disease. Journal of Neurochemistry. 165(2). 149–161. 2 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

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

Abreha, Measho, Eric B. Dammer, Zachary T. McEachin, et al.. (2021). TBK1 interacts with tau and enhances neurodegeneration in tauopathy. Journal of Biological Chemistry. 296. 100760–100760. 24 indexed citations

Wingo, Thomas S., Yue Liu, Ekaterina S. Gerasimov, et al.. (2021). Brain proteome-wide association study implicates novel proteins in depression pathogenesis. Nature Neuroscience. 24(6). 810–817. 98 indexed citations

10.

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

11.

Wingo, Aliza P., Wen Fan, Duc M. Duong, et al.. (2020). Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain. Nature Neuroscience. 23(6). 696–700. 100 indexed citations

12.

Kundinger, Sean R., et al.. (2020). Middle-Down Proteomics Reveals Dense Sites of Methylation and Phosphorylation in Arginine-Rich RNA-Binding Proteins. Journal of Proteome Research. 19(4). 1574–1591. 12 indexed citations

13.

Dammer, Eric B., Sharon Owino, Michelle M. Giddens, et al.. (2020). Quantitative Proteomics Reveal an Altered Pattern of Protein Expression in Brain Tissue from Mice Lacking GPR37 and GPR37L1. Journal of Proteome Research. 19(2). 744–755. 10 indexed citations

14.

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

15.

Higginbotham, Lenora, Eric B. Dammer, Duc M. Duong, et al.. (2019). Network Analysis of a Membrane-Enriched Brain Proteome across Stages of Alzheimer’s Disease. Proteomes. 7(3). 30–30. 18 indexed citations

16.

Wingo, Aliza P., Eric B. Dammer, Michael S. Breen, et al.. (2019). Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age. Nature Communications. 10(1). 1619–1619. 128 indexed citations

17.

Gao, Ying, Ru‐Jing Ren, Zilin Zhong, et al.. (2019). Mutation profile of APP, PSEN1, and PSEN2 in Chinese familial Alzheimer's disease. Neurobiology of Aging. 77. 154–157. 33 indexed citations

18.

Gerber, Kyle J., Eric B. Dammer, Duc M. Duong, et al.. (2019). Specific Proteomes of Hippocampal Regions CA2 and CA1 Reveal Proteins Linked to the Unique Physiology of Area CA2. Journal of Proteome Research. 18(6). 2571–2584. 14 indexed citations

19.

Li, Yikun, Eric B. Dammer, Scott Chen, et al.. (2017). Osteopontin Is a Blood Biomarker for Microglial Activation and Brain Injury in Experimental Hypoxic-Ischemic Encephalopathy. eNeuro. 4(1). ENEURO.0253–16.2016. 28 indexed citations

20.

Umoh, Mfon, Eric B. Dammer, Duc M. Duong, et al.. (2017). A proteomic network approach across the ALS ‐ FTD disease spectrum resolves clinical phenotypes and genetic vulnerability in human brain. EMBO Molecular Medicine. 10(1). 48–62. 100 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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