Philip L. De Jager

100.4k total citations · 7 hit papers
392 papers, 19.4k citations indexed

About

Philip L. De Jager is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Philip L. De Jager has authored 392 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Molecular Biology, 113 papers in Physiology and 90 papers in Genetics. Recurrent topics in Philip L. De Jager's work include Alzheimer's disease research and treatments (99 papers), Multiple Sclerosis Research Studies (61 papers) and Epigenetics and DNA Methylation (54 papers). Philip L. De Jager is often cited by papers focused on Alzheimer's disease research and treatments (99 papers), Multiple Sclerosis Research Studies (61 papers) and Epigenetics and DNA Methylation (54 papers). Philip L. De Jager collaborates with scholars based in United States, Canada and United Kingdom. Philip L. De Jager's co-authors include David A. Bennett, Julie A. Schneider, Joshua Shulman, Lori B. Chibnik, David A. Hafler, Mel Β. Feany, Lei Yu, Hans‐Ulrich Klein, Lei Yu and Alexander Meissner and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Philip L. De Jager

379 papers receiving 19.1k citations

Hit Papers

Charting a dynamic DNA methylation landscape of the human... 2011 2026 2016 2021 2013 2011 2017 2013 2014 250 500 750
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.

  1. Charting a dynamic DNA methylation landscape of the human genome
    2013 939 citations Philip L. De Jager, David A. Bennett et al. Nature profile →
  2. Parkinson's Disease: Genetics and Pathogenesis
    2011 608 citations Philip L. De Jager, Mel Β. Feany et al. profile →
  3. Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution
    2017 486 citations Philip L. De Jager et al. profile →
  4. CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology
    2013 439 citations Elizabeth M. Bradshaw, Lori B. Chibnik et al. Nature Neuroscience profile →
  5. Blood Kidney Injury Molecule-1 Is a Biomarker of Acute and Chronic Kidney Injury and Predicts Progression to ESRD in Type I Diabetes
    2014 327 citations Philip L. De Jager et al. profile →
  6. Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis
    2021 201 citations Aliza P. Wingo, Duc M. Duong et al. Nature Genetics profile →
  7. Gut Microbiome in Progressive Multiple Sclerosis
    2021 190 citations Philip L. De Jager, Bonnie I. Glanz et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip L. De Jager United States 73 8.3k 4.5k 3.4k 3.3k 3.2k 392 19.4k
Margaret A. Pericak‐Vance United States 63 7.0k 0.9× 4.8k 1.1× 2.8k 0.8× 1.9k 0.6× 2.0k 0.6× 340 18.4k
Jonathan L. Haines United States 75 8.4k 1.0× 5.2k 1.2× 3.6k 1.1× 1.6k 0.5× 1.5k 0.5× 412 21.3k
Tatiana Foroud United States 76 7.1k 0.9× 3.5k 0.8× 4.5k 1.3× 1.3k 0.4× 1.5k 0.5× 405 20.1k
Rivka Ravid Netherlands 63 4.8k 0.6× 4.6k 1.0× 855 0.3× 2.1k 0.6× 2.7k 0.8× 170 15.0k
Lindsay A. Farrer United States 71 7.4k 0.9× 7.2k 1.6× 4.4k 1.3× 976 0.3× 1.6k 0.5× 425 23.6k
Francisco J. Quintana United States 71 6.1k 0.7× 1.9k 0.4× 1.3k 0.4× 9.3k 2.8× 2.9k 0.9× 199 20.2k
Cornelia M. van Duijn Netherlands 96 11.8k 1.4× 9.6k 2.2× 7.1k 2.1× 1.4k 0.4× 3.3k 1.0× 676 40.3k
Jian Wang China 84 11.6k 1.4× 2.6k 0.6× 1.3k 0.4× 3.2k 1.0× 4.8k 1.5× 897 30.6k
Jerold Chun United States 99 23.9k 2.9× 4.2k 0.9× 1.9k 0.6× 3.9k 1.2× 2.0k 0.6× 334 31.6k
Jin‐Tai Yu China 85 7.2k 0.9× 8.9k 2.0× 1.3k 0.4× 1.6k 0.5× 5.3k 1.6× 454 23.8k

Countries citing papers authored by Philip L. De Jager

Since Specialization
Citations

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

Fields of papers citing papers by Philip L. De Jager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip L. De Jager. 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 Philip L. De Jager. The network helps show where Philip L. De Jager may publish in the future.

Co-authorship network of co-authors of Philip L. De Jager

This figure shows the co-authorship network connecting the top 25 collaborators of Philip L. De Jager. A scholar is included among the top collaborators of Philip L. De Jager 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 Philip L. De Jager. Philip L. De Jager 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.
Arnold, Matthias, Mustafa Büyüközkan, P. Murali Doraiswamy, et al.. (2025). Individual bioenergetic capacity as a potential source of resilience to Alzheimer’s disease. Nature Communications. 16(1). 1910–1910. 6 indexed citations
2.
Lee, Hyo, Richard V. Pearse, Zachary M. Augur, et al.. (2025). Contributions of Genetic Variation in Astrocytes to Cell and Molecular Mechanisms of Risk and Resilience to Late‐Onset Alzheimer's Disease. Glia. 73(6). 1166–1187. 9 indexed citations
3.
Chen, Yuxiao, Milos Milic, JoAnne McLaurin, et al.. (2024). CHRNA5 links chandelier cells to severity of amyloid pathology in aging and Alzheimer’s disease. Translational Psychiatry. 14(1). 83–83. 2 indexed citations
4.
Fujita, Masashi, Hyun‐Sik Yang, Mariko Taga, et al.. (2024). Cellular communities reveal trajectories of brain ageing and Alzheimer’s disease. Nature. 633(8030). 634–645. 41 indexed citations
5.
Buonfiglioli, Alice, Raphael Kübler, Roy Missall, et al.. (2024). A microglia-containing cerebral organoid model to study early life immune challenges. Brain Behavior and Immunity. 123. 1127–1146. 13 indexed citations
6.
Oveisgharan, Shahram, Jingyun Yang, Lei Yu, et al.. (2023). Estrogen Receptor Genes, Cognitive Decline, and Alzheimer Disease. Neurology. 100(14). e1474–e1487. 29 indexed citations
7.
Bryois, Julien, Daniela Calini, Will Macnair, et al.. (2022). Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders. Nature Neuroscience. 25(8). 1104–1112. 106 indexed citations
8.
Iturria‐Medina, Yasser, Simon Ducharme, Pedro Rosa‐Neto, et al.. (2022). Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity. Science Advances. 8(46). eabo6764–eabo6764. 43 indexed citations
9.
Haage, Verena & Philip L. De Jager. (2022). Neuroimmune contributions to Alzheimer’s disease: a focus on human data. Molecular Psychiatry. 27(8). 3164–3181. 43 indexed citations
10.
Hüls, Anke, Chloe Robins, Karen N. Conneely, et al.. (2020). Association between DNA methylation levels in brain tissue and late-life depression in community-based participants. Translational Psychiatry. 10(1). 262–262. 25 indexed citations
11.
Buyukturkoglu, Korhan, Enricomaria Mormina, Philip L. De Jager, Claire Riley, & Victoria M. Leavitt. (2019). The Impact of MRI T1 Hypointense Brain Lesions on Cerebral Deep Gray Matter Volume Measures in Multiple Sclerosis. Journal of Neuroimaging. 29(4). 458–462. 2 indexed citations
12.
Raj, Towfique, Yang Li, Garrett Wong, et al.. (2018). Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility. Nature Genetics. 50(11). 1584–1592. 261 indexed citations
13.
Ryan, Katie J., Charles C. White, K R Patel, et al.. (2017). A human microglia-like cellular model for assessing the effects of neurodegenerative disease gene variants. Science Translational Medicine. 9(421). 97 indexed citations
14.
Shulman, Joshua M., Selina Imboywa, Νικόλαος Γιαγτζόγλου, et al.. (2013). Functional screening in Drosophila identifies Alzheimer's disease susceptibility genes and implicates Tau-mediated mechanisms. Human Molecular Genetics. 23(4). 870–877. 118 indexed citations
15.
Ananthakrishnan, Ashwin N., Andrew Cagan, Vivian S. Gainer, et al.. (2013). Normalization of Plasma 25-Hydroxy Vitamin D Is Associated with Reduced Risk of Surgery in Crohn’s Disease. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations
16.
Xia, Zongqi, Lori B. Chibnik, Bonnie I. Glanz, et al.. (2010). A Putative Alzheimer's Disease Risk Allele in PCK1 Influences Brain Atrophy in Multiple Sclerosis. PLoS ONE. 5(11). e14169–e14169. 14 indexed citations
17.
Jager, Philip L. De, KG Simon, Kassandra L. Munger, et al.. (2008). Integrating risk factors. Neurology. 70(13_part_2). 1113–1118. 134 indexed citations
18.
Choy, Edwin, Roman Yelensky, Robert M. Plenge, et al.. (2008). Genetic Analysis of Human Traits In Vitro: Drug Response and Gene Expression in Lymphoblastoid Cell Lines. PLoS Genetics. 4(11). e1000287–e1000287. 164 indexed citations
19.
Heintz, Nathaniel & Philip L. De Jager. (1999). GluRδ2 and the Development and Death of Cerebellar Purkinje Neurons in Lurcher Mice. Annals of the New York Academy of Sciences. 868(1). 502–514. 13 indexed citations
20.
Jager, Philip L. De, Jianping Zuo, Susan A. Cook, & Nathaniel Heintz. (1997). A new allele of the lurcher gene, lurcher. Mammalian Genome. 8(9). 647–650. 7 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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