Mark S. Cembrowski

3.0k total citations
31 papers, 1.7k citations indexed

About

Mark S. Cembrowski is a scholar working on Molecular Biology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Mark S. Cembrowski has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Cognitive Neuroscience and 13 papers in Neurology. Recurrent topics in Mark S. Cembrowski's work include Single-cell and spatial transcriptomics (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Neural dynamics and brain function (8 papers). Mark S. Cembrowski is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Neural dynamics and brain function (8 papers). Mark S. Cembrowski collaborates with scholars based in United States, Canada and Russia. Mark S. Cembrowski's co-authors include Nelson Spruston, Brenda C. Shields, Ken Sugino, Lihua Wang, Lihua Wang, Julia L. Bachman, Hermann Riecke, William L. Kath, Joshua H. Singer and Jennifer Colonell and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Mark S. Cembrowski

27 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark S. Cembrowski United States 20 1.0k 811 706 328 157 31 1.7k
Brenda C. Shields United States 10 813 0.8× 624 0.8× 476 0.7× 211 0.6× 99 0.6× 17 1.3k
Ludovic Tricoire France 22 1.7k 1.7× 788 1.0× 996 1.4× 372 1.1× 282 1.8× 35 2.2k
Sho Yagishita Japan 16 1.1k 1.1× 804 1.0× 500 0.7× 153 0.5× 111 0.7× 34 1.7k
Drew Friedmann United States 10 669 0.7× 489 0.6× 435 0.6× 160 0.5× 107 0.7× 13 1.2k
Ryohei Tomioka Japan 14 1.5k 1.5× 901 1.1× 578 0.8× 256 0.8× 356 2.3× 26 2.1k
Jason Tucciarone United States 16 1.6k 1.6× 1.5k 1.8× 636 0.9× 164 0.5× 104 0.7× 18 2.4k
Jiangteng Lu United States 13 1.5k 1.5× 1.1k 1.4× 714 1.0× 213 0.6× 247 1.6× 22 2.2k
Jeffrey D. Zaremba United States 9 991 1.0× 903 1.1× 363 0.5× 203 0.6× 235 1.5× 10 1.4k
Bryan M. Hooks United States 20 1.7k 1.7× 1.5k 1.9× 703 1.0× 379 1.2× 191 1.2× 28 2.8k

Countries citing papers authored by Mark S. Cembrowski

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Cembrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Cembrowski. 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 Mark S. Cembrowski. The network helps show where Mark S. Cembrowski may publish in the future.

Co-authorship network of co-authors of Mark S. Cembrowski

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Cembrowski. A scholar is included among the top collaborators of Mark S. Cembrowski 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 Mark S. Cembrowski. Mark S. Cembrowski 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.
Cembrowski, Mark S., et al.. (2026). Omics-based approaches for acute brain injury research. Current Opinion in Critical Care. 32(2). 111–119.
2.
Cembrowski, Mark S., et al.. (2026). Divergent hippocampal output via covariant local and long-range neuronal structure. Progress in Neurobiology. 259. 102893–102893.
3.
Fan, Jianjia, et al.. (2025). Identification of traumatic brain injury induced molecular signatures using spatial transcriptomics. Alzheimer s & Dementia. 21(S7). e108495–e108495.
4.
Campbell, Rebecca E., Larissa Kraus, Stephen J. Wood, et al.. (2025). Atypical hippocampal excitatory neurons express and govern object memory. Nature Communications. 16(1). 1195–1195. 4 indexed citations
5.
Kraus, Larissa, et al.. (2024). The cell-type-specific spatial organization of the anterior thalamic nuclei of the mouse brain. Cell Reports. 43(3). 113842–113842. 4 indexed citations
6.
Guskjolen, Axel & Mark S. Cembrowski. (2023). Engram neurons: Encoding, consolidation, retrieval, and forgetting of memory. Molecular Psychiatry. 28(8). 3207–3219. 43 indexed citations
7.
Kraus, Larissa, et al.. (2023). Sharp cell-type-identity changes differentiate the retrosplenial cortex from the neocortex. Cell Reports. 42(3). 112206–112206. 11 indexed citations
8.
O’Leary, Timothy P., et al.. (2022). Neuronal cell types, projections, and spatial organization of the central amygdala. iScience. 25(12). 105497–105497. 26 indexed citations
9.
Wang, Lihua, et al.. (2021). Spatially patterned excitatory neuron subtypes and projections of the claustrum. eLife. 10. 25 indexed citations
10.
Cembrowski, Mark S. & Nelson Spruston. (2019). Heterogeneity within classical cell types is the rule: lessons from hippocampal pyramidal neurons. Nature reviews. Neuroscience. 20(4). 193–204. 148 indexed citations
11.
Cembrowski, Mark S.. (2019). Single-cell transcriptomics as a framework and roadmap for understanding the brain. Journal of Neuroscience Methods. 326. 108353–108353. 25 indexed citations
12.
Bloss, Erik B., Mark S. Cembrowski, Bill Karsh, et al.. (2018). Single excitatory axons form clustered synapses onto CA1 pyramidal cell dendrites. Nature Neuroscience. 21(3). 353–363. 81 indexed citations
13.
Cembrowski, Mark S., Brenda C. Shields, Johan Winnubst, et al.. (2018). Dissociable Structural and Functional Hippocampal Outputs via Distinct Subiculum Cell Classes. Cell. 173(5). 1280–1292.e18. 123 indexed citations
14.
Cembrowski, Mark S., et al.. (2018). The subiculum is a patchwork of discrete subregions. eLife. 7. 63 indexed citations
15.
Cembrowski, Mark S. & Nelson Spruston. (2017). Integrating Results across Methodologies Is Essential for Producing Robust Neuronal Taxonomies. Neuron. 94(4). 747–751.e1. 15 indexed citations
16.
Cembrowski, Mark S., Julia L. Bachman, Lihua Wang, et al.. (2016). Spatial Gene-Expression Gradients Underlie Prominent Heterogeneity of CA1 Pyramidal Neurons. Neuron. 89(2). 351–368. 216 indexed citations
17.
Bloss, Erik B., Mark S. Cembrowski, Bill Karsh, et al.. (2016). Structured Dendritic Inhibition Supports Branch-Selective Integration in CA1 Pyramidal Cells. Neuron. 89(5). 1016–1030. 103 indexed citations
18.
Borghuis, Bart G., Mark S. Cembrowski, Hermann Riecke, et al.. (2014). Adaptation to Background Light Enables Contrast Coding at Rod Bipolar Cell Synapses. Neuron. 81(2). 388–401. 61 indexed citations
19.
Jarsky, Tim, Mark S. Cembrowski, Stephen M. Logan, et al.. (2011). A Synaptic Mechanism for Retinal Adaptation to Luminance and Contrast. Journal of Neuroscience. 31(30). 11003–11015. 86 indexed citations
20.
Lim, Eunjung, George S. Cembrowski, Mark S. Cembrowski, & Gwen Clarke. (2010). Race‐specific WBC and neutrophil count reference intervals. International Journal of Laboratory Hematology. 32(6p2). 590–597. 59 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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