Charles Vanderburg

16.7k total citations · 6 hit papers
63 papers, 6.8k citations indexed

About

Charles Vanderburg is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Charles Vanderburg has authored 63 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in Charles Vanderburg's work include Alzheimer's disease research and treatments (9 papers), Single-cell and spatial transcriptomics (7 papers) and RNA Research and Splicing (7 papers). Charles Vanderburg is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Single-cell and spatial transcriptomics (7 papers) and RNA Research and Splicing (7 papers). Charles Vanderburg collaborates with scholars based in United States, China and Spain. Charles Vanderburg's co-authors include Evan Z. Macosko, Caroline Martin, Joshua D. Welch, Fei Chen, Evan Murray, Samuel G. Rodriques, Robert R. Stickels, Aleksandrina Goeva, Velina Kozareva and Ashley N. Ferreira and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Charles Vanderburg

62 papers receiving 6.7k citations

Hit Papers

5 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.

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

2019 1.4k citations Samuel G. Rodriques, Robert R. Stickels et al. Science profile →
Tau protein liquid–liquid phase separation can initiate tau aggregation

2018 769 citations Susanne Wegmann, Bahareh Eftekharzadeh et al. The EMBO Journal profile →
Exosomal cell-to-cell transmission of alpha synuclein oligomers

2012 690 citations Charles Vanderburg, Pamela J. McLean et al. profile →
Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity

2019 686 citations Joshua D. Welch, Charles Vanderburg et al. profile →
Validating novel tau positron emission tomography tracer [F‐18]‐AV‐1451 (T807) on postmortem brain tissue

2015 450 citations Marta Marquié, Marc D. Normandin et al. profile →
Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

2022 258 citations Vahid Gazestani, Naeem Nadaf et al. profile →

Peers

Charles Vanderburg

PHYSI

NEURO

Satoshi O. Suzuki Japan

Liqun He Sweden

Simone Codeluppi Sweden

Kathrin Geiger Germany

Martin Kampmann United States

Zheng Li China

Michel Mittelbronn Germany

Toru Nakazawa Japan

Amit Zeisel Israel

Hidenori Suzuki Japan

Satoshi O. Suzuki Japan

Charles Vanderburg

2.4k ×0.5

1.1k ×0.9

PHYSI

1.3k ×1.3

NEURO

709 ×0.8

547 ×0.8

NEURO

Citations per year, relative to Charles Vanderburg Charles Vanderburg (= 1×) peers Satoshi O. Suzuki

Countries citing papers authored by Charles Vanderburg

Since Specialization

Citations

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

Fields of papers citing papers by Charles Vanderburg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Vanderburg

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nadaf, Naeem, Charles Vanderburg, Sean Simmons, et al.. (2023). A single-cell map of antisense oligonucleotide activity in the brain. Nucleic Acids Research. 51(14). 7109–7124. 24 indexed citations

Balderrama, Karol S., Naeem Nadaf, Evan Murray, et al.. (2023). The molecular cytoarchitecture of the adult mouse brain. Nature. 624(7991). 333–342. 56 indexed citations

Benita, Yair, Charles Vanderburg, G. Petur Nielsen, et al.. (2023). Transcriptional Profiling Supports the Notochordal Origin of Chordoma and Its Dependence on a TGFB1-TBXT Network. American Journal Of Pathology. 193(5). 532–547. 8 indexed citations

Birnbaum, David Jérémie, Pascal Finetti, Charles Vanderburg, et al.. (2021). Transcriptomic Analysis of Laser Capture Microdissected Tumors Reveals Cancer- and Stromal-Specific Molecular Subtypes of Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 27(8). 2314–2325. 11 indexed citations

Frydman, Galit H., Shannon N. Tessier, Keith H.K. Wong, et al.. (2020). Megakaryocytes contain extranuclear histones and may be a source of platelet-associated histones during sepsis. Scientific Reports. 10(1). 4621–4621. 17 indexed citations

Rodriques, Samuel G., Robert R. Stickels, Aleksandrina Goeva, et al.. (2019). Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 363(6434). 1463–1467. 1378 indexed citations breakdown →

Strunz, Maximilian, et al.. (2019). Modulation of SPARC/Hevin Proteins in Alzheimer’s Disease Brain Injury. Journal of Alzheimer s Disease. 68(2). 695–710. 24 indexed citations

Wegmann, Susanne, Bahareh Eftekharzadeh, Katharina Tepper, et al.. (2018). Tau protein liquid–liquid phase separation can initiate tau aggregation. The EMBO Journal. 37(7). 769 indexed citations breakdown →

Jin, Ming, Brian O’Nuallain, Wei Hong, et al.. (2018). An in vitro paradigm to assess potential anti-Aβ antibodies for Alzheimer’s disease. Nature Communications. 9(1). 2676–2676. 48 indexed citations

10.

Beheshti, Afshin, Charles Vanderburg, Dashnamoorthy Ravi, et al.. (2017). Circulating Micrornas (miRNA) As a Novel Liquid Biopsy and Therapeutic Platform in MYC and Non-MYC Diffuse Large B-Cell Lymphoma (DLBCL). Blood. 130. 4005–4005. 1 indexed citations

11.

Choi, Jason, Patricia F. Kao, Yougen Zhan, et al.. (2017). miR‐149 and miR‐29c as candidates for bipolar disorder biomarkers. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(3). 315–323. 38 indexed citations

12.

Marquié, Marta, Eline E. Verwer, Cinthya Agüero, et al.. (2017). Lessons learned about [F-18]-AV-1451 off-target binding from an autopsy-confirmed Parkinson’s case. Acta Neuropathologica Communications. 5(1). 75–75. 85 indexed citations

13.

Jiang, Gang, Chao-Yang Pang, Qingzhong Liu, et al.. (2013). Assessment of gene order computing methods for Alzheimer's disease. BMC Medical Genomics. 6(S1). S8–S8. 9 indexed citations

14.

Wong, Hon Kit, Tatyana Veremeyko, Nehal Patel, et al.. (2013). De-repression of FOXO3a death axis by microRNA-132 and -212 causes neuronal apoptosis in Alzheimer's disease. Human Molecular Genetics. 22(15). 3077–3092. 246 indexed citations

15.

Kao, Patricia F., Charles Vanderburg, Ann C. McKee, et al.. (2012). Increased Expression of TrkB and Capzb2 Accompanies Preserved Cognitive Status in Early Alzheimer Disease Pathology. Journal of Neuropathology & Experimental Neurology. 71(7). 654–664. 22 indexed citations

16.

Unni, Vivek K., Darius Ebrahimi‐Fakhari, Charles Vanderburg, Pamela J. McLean, & Bradley T. Hyman. (2010). Studying protein degradation pathways in vivo using a cranial window-based approach. Methods. 53(3). 194–200. 3 indexed citations

17.

Kao, Patricia F., et al.. (2010). Modulators of Cytoskeletal Reorganization in CA1 Hippocampal Neurons Show Increased Expression in Patients at Mid-Stage Alzheimer's Disease. PLoS ONE. 5(10). e13337–e13337. 17 indexed citations

18.

Pang, Chao-Yang, Weisheng Hu, Ying Shi, et al.. (2010). A Special Local Clustering Algorithm for Identifying the Genes Associated With Alzheimer's Disease. IEEE Transactions on NanoBioscience. 9(1). 44–50. 12 indexed citations

19.

Ingelsson, Martin, Karunya Ramasamy, Ippolita Cantuti‐Castelvetri, et al.. (2006). No alteration in tau exon 10 alternative splicing in tangle-bearing neurons of the Alzheimer’s disease brain. Acta Neuropathologica. 112(4). 439–449. 34 indexed citations

20.

Lee, Jung Eun, Hiroaki Fukumoto, Jochen Klucken, et al.. (2005). Decreased levels of BDNF protein in Alzheimer temporal cortex are independent of BDNF polymorphisms. Experimental Neurology. 194(1). 91–96. 102 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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