Justus M. Kebschull

3.3k total citations
24 papers, 1.6k citations indexed

About

Justus M. Kebschull is a scholar working on Molecular Biology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Justus M. Kebschull has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in Justus M. Kebschull's work include Single-cell and spatial transcriptomics (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cell Image Analysis Techniques (6 papers). Justus M. Kebschull is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cell Image Analysis Techniques (6 papers). Justus M. Kebschull collaborates with scholars based in United States, United Kingdom and Switzerland. Justus M. Kebschull's co-authors include Anthony M. Zador, Pedro Garcia da Silva, Dinu F. Albeanu, Ian D. Peikon, Ashlan P. Reid, Liqun Luo, Thomas D. Mrsic‐Flogel, Robert A. A. Campbell, Fabia Imhof and Yunyun Han and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Justus M. Kebschull

23 papers receiving 1.6k citations

Peers

Countries citing papers authored by Justus M. Kebschull

Since Specialization

Citations

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

Fields of papers citing papers by Justus M. Kebschull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justus M. Kebschull. 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 Justus M. Kebschull. The network helps show where Justus M. Kebschull may publish in the future.

Co-authorship network of co-authors of Justus M. Kebschull

This figure shows the co-authorship network connecting the top 25 collaborators of Justus M. Kebschull. A scholar is included among the top collaborators of Justus M. Kebschull 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 Justus M. Kebschull. Justus M. Kebschull 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

#	Work	Indexed citations
1	The Unusual Effectiveness of Evolution in Systems Neuroscience 2025 ·Cold Spring Harbor Perspectives in Biology ·Arkarup Banerjee, Steven M. Phelps, Justus M. Kebschull	0
2	Cerebellum Lecture: the Cerebellar Nuclei—Core of the Cerebellum 2023 ·The Cerebellum ·Justus M. Kebschull, Filippo Casoni, G. Giacomo Consalez, Dan Goldowitz, Richard Hawkes, Tom J. H. Ruigrok, Karl Schilling, Richard Wingate, (unknown), Joanna Yeung, Marylka Yoe Uusisaari	34
3	STalign: Alignment of spatial transcriptomics data using diffeomorphic metric mapping 2023 ·Nature Communications ·(unknown), (unknown), (unknown), Lyla Atta, (unknown), Justus M. Kebschull, Michael I. Miller, Daniel J. Tward, Jean Fan	41
4	Hyperexcitable arousal circuits drive sleep instability during aging 2022 ·Science ·Shi‐Bin Li, Valentina Martínez Damonte, Chong Chen, Gordon Wang, Justus M. Kebschull, Hiroshi Yamaguchi, W Bian, Carolin Purmann, Reenal Pattni, Alexander E. Urban, Philippe Mourrain, Julie A. Kauer, Grégory Scherrer, Luı́s de Lecea	103
5	High-throughput sequencing of single neuron projections reveals spatial organization in the olfactory cortex 2022 ·Cell ·(unknown), Xiaoyin Chen, (unknown), Huiqing Zhan, (unknown), Martin B. Davis, Justus M. Kebschull, Anthony M. Zador, Alexei A. Koulakov, Dinu F. Albeanu	49
6	Temporal controls over inter-areal cortical projection neuron fate diversity 2021 ·Nature ·Esther Klingler, Ugo Tomasello, Julien Prados, Justus M. Kebschull, Alessandro Contestabile, Gregorio L. Galiñanes, Sabine Fièvre, António J. Santinha, Randall J. Platt, Daniel Huber, Alexandre Dayer, Camilla Bellone, Denis Jabaudon	34
7	Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila 2021 ·eLife ·Colleen N. McLaughlin, Maria Brbić, Qijing Xie, Tongchao Li, Felix Horns, Sai Saroja Kolluru, Justus M. Kebschull, David Vacek, Anthony Xie, Jun Li, Robert C. Jones, Jure Leskovec, Stephen R. Quake, Liqun Luo, Hongjie Li	68
8	Mapping mesoscale axonal projections in the mouse brain using a 3D convolutional network 2020 ·Proceedings of the National Academy of Sciences ·Drew Friedmann, (unknown), Eliza L. Adams, Jan H. Lui, Justus M. Kebschull, Sophie M. Grutzner, (unknown), Marc Tessier‐Lavigne, Liqun Luo	52
9	Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set 2020 ·Science ·Justus M. Kebschull, Ethan B. Richman, (unknown), Drew Friedmann, Eddy Albarran, Sai Saroja Kolluru, Robert C. Jones, William E. Allen, Ying Wang, Seung Woo Cho, Huaijun Zhou, Jun Ding, Howard Y. Chang, Karl Deisseroth, Stephen R. Quake, Liqun Luo	129
10	SYNPLA, a method to identify synapses displaying plasticity after learning 2020 ·Proceedings of the National Academy of Sciences ·Kim Doré, (unknown), (unknown), Sage Aronson, Huiqing Zhan, (unknown), (unknown), Anthony M. Zador, Roberto Malinow, Justus M. Kebschull	13
11	Differential encoding in prefrontal cortex projection neuron classes across cognitive tasks 2020 ·Cell ·Jan H. Lui, Nghia D. Nguyen, Sophie M. Grutzner, Spyros Darmanis, Diogo Peixoto, Mark J. Wagner, William E. Allen, Justus M. Kebschull, Ethan B. Richman, Jing Ren, William T. Newsome, Stephen R. Quake, Liqun Luo	63
12	Single-Cell Transcriptomes Reveal Diverse Regulatory Strategies for Olfactory Receptor Expression and Axon Targeting 2020 ·Current Biology ·Hongjie Li, Tongchao Li, Felix Horns, Jun Li, Qijing Xie, Chuanyun Xu, Bing Wu, Justus M. Kebschull, Colleen N. McLaughlin, Sai Saroja Kolluru, Robert C. Jones, David Vacek, Anthony Xie, David J. Luginbuhl, Stephen R. Quake, Liqun Luo	32
13	High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing 2019 ·Cell ·Xiaoyin Chen, Yu-Chi Sun, Huiqing Zhan, Justus M. Kebschull, Stephan Fischer, Katherine S. Matho, Z. Josh Huang, Jesse Gillis, Anthony M. Zador	139
14	DNA sequencing in high-throughput neuroanatomy 2019 ·Journal of Chemical Neuroanatomy ·Justus M. Kebschull	3
15	Cellular barcoding: lineage tracing, screening and beyond 2018 ·Nature Methods ·Justus M. Kebschull, Anthony M. Zador	134
16	The logic of single-cell projections from visual cortex 2018 ·Nature ·Yunyun Han, Justus M. Kebschull, Robert A. A. Campbell, (unknown), Fabia Imhof, Anthony M. Zador, Thomas D. Mrsic‐Flogel	170
17	Using high-throughput barcode sequencing to efficiently map connectomes 2017 ·Nucleic Acids Research ·Ian D. Peikon, Justus M. Kebschull, Vasily V. Vagin, (unknown), Yu-Chi Sun, Eric Brouzés, Ivan R. Corrêa, Dario Bressan, Anthony M. Zador	24
18	A New Defective Helper RNA to Produce Recombinant Sindbis Virus that Infects Neurons but does not Propagate 2016 ·Frontiers in Neuroanatomy ·Justus M. Kebschull, Pedro Garcia da Silva, Anthony M. Zador	16
19	High-Throughput Mapping of Single-Neuron Projections by Sequencing of Barcoded RNA 2016 ·Neuron ·Justus M. Kebschull, Pedro Garcia da Silva, Ashlan P. Reid, Ian D. Peikon, Dinu F. Albeanu, Anthony M. Zador	214
20	Sources of PCR-induced distortions in high-throughput sequencing data sets 2015 ·Nucleic Acids Research ·Justus M. Kebschull, Anthony M. Zador	186

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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