Michael Hawrylycz

51.5k total citations · 2 hit papers
64 papers, 8.6k citations indexed

About

Michael Hawrylycz is a scholar working on Molecular Biology, Biophysics and Cognitive Neuroscience. According to data from OpenAlex, Michael Hawrylycz has authored 64 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Biophysics and 14 papers in Cognitive Neuroscience. Recurrent topics in Michael Hawrylycz's work include Cell Image Analysis Techniques (23 papers), Single-cell and spatial transcriptomics (22 papers) and Gene expression and cancer classification (11 papers). Michael Hawrylycz is often cited by papers focused on Cell Image Analysis Techniques (23 papers), Single-cell and spatial transcriptomics (22 papers) and Gene expression and cancer classification (11 papers). Michael Hawrylycz collaborates with scholars based in United States, United Kingdom and China. Michael Hawrylycz's co-authors include Lydia Ng, Susan M. Sunkin, Ed S. Lein, Hongkui Zeng, Allan R. Jones, Seung Wook Oh, Theresa A. Zwingman, Hatim A. Zariwala, Linda Madisen and Richard D. Palmiter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Michael Hawrylycz

64 papers receiving 8.6k citations

Hit Papers

align trajectories sort by overperformance

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.

A robust and high-throughput Cre reporting and characterization system for the whole mouse brain

2009 4.8k citations Michael Hawrylycz, Allan R. Jones et al. profile →
Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system

2012 497 citations Carol L. Thompson, Michael Hawrylycz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Hawrylycz United States	32	4.1k	2.4k	1.7k	848	790	64	8.6k
Lydia Ng United States	22	3.6k 0.9×	2.6k 1.1×	1.8k 1.0×	750 0.9×	505 0.6×	49	7.9k
Susan M. Sunkin United States	28	5.3k 1.3×	2.2k 0.9×	1.7k 1.0×	1.1k 1.3×	332 0.4×	44	10.0k
Carlos Portera‐Cailliau United States	39	3.3k 0.8×	3.6k 1.5×	1.7k 1.0×	1.2k 1.4×	609 0.8×	71	7.5k
Ed S. Lein United States	30	4.6k 1.1×	3.4k 1.4×	2.9k 1.7×	1.3k 1.5×	414 0.5×	65	10.3k
Linda Madisen United States	27	4.1k 1.0×	2.5k 1.0×	1.3k 0.7×	905 1.1×	260 0.3×	40	8.7k
Allan R. Jones United States	30	4.5k 1.1×	2.2k 0.9×	1.3k 0.7×	897 1.1×	272 0.3×	54	8.8k
Seung Wook Oh United States	15	3.3k 0.8×	1.9k 0.8×	1.0k 0.6×	577 0.7×	232 0.3×	32	6.8k
Maryann E. Martone United States	57	6.0k 1.5×	4.1k 1.7×	1.7k 1.0×	467 0.6×	1.2k 1.5×	230	12.2k
Pavel Osten United States	41	3.5k 0.8×	4.1k 1.7×	1.9k 1.1×	600 0.7×	980 1.2×	73	8.3k
Jens Hjerling‐Leffler Sweden	31	5.4k 1.3×	4.0k 1.6×	1.9k 1.1×	1.0k 1.2×	498 0.6×	53	11.0k

Countries citing papers authored by Michael Hawrylycz

Since Specialization

Citations

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

Fields of papers citing papers by Michael Hawrylycz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hawrylycz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hawrylycz. A scholar is included among the top collaborators of Michael Hawrylycz 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 Michael Hawrylycz. Michael Hawrylycz 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

Liu, Lijuan, Zhixi Yun, Hanbo Chen, et al.. (2025). Connectivity of single neurons classifies cell subtypes in mouse brains. Nature Methods. 22(4). 861–873. 1 indexed citations

Tan, Shawn Zheng Kai, Brian D. Aevermann, Tom Gillespie, et al.. (2023). Brain Data Standards - A method for building data-driven cell-type ontologies. Scientific Data. 10(1). 50–50. 7 indexed citations

Poline, Jean‐Baptiste, David N. Kennedy, Friedrich T. Sommer, et al.. (2022). Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. Neuroinformatics. 20(2). 507–512. 18 indexed citations

Jiang, Shengdian, Yimin Wang, Lijuan Liu, et al.. (2022). Petabyte-Scale Multi-Morphometry of Single Neurons for Whole Brains. Neuroinformatics. 20(2). 525–536. 13 indexed citations

Ypsilanti, Athéna R., Kartik Pattabiraman, Rinaldo Catta-Preta, et al.. (2021). Transcriptional network orchestrating regional patterning of cortical progenitors. Proceedings of the National Academy of Sciences. 118(51). 27 indexed citations

Gala, Rohan, Agata Budzillo, Fahimeh Baftizadeh, et al.. (2021). Consistent cross-modal identification of cortical neurons with coupled autoencoders. Nature Computational Science. 1(2). 120–127. 23 indexed citations

Miller, Jeremy A., Nathan W. Gouwens, Bosiljka Tasic, et al.. (2020). Common cell type nomenclature for the mammalian brain. eLife. 9. 38 indexed citations

Smith, Stephen J, Uygar Sümbül, Lucas T. Graybuck, et al.. (2019). Single-cell transcriptomic evidence for dense intracortical neuropeptide networks. eLife. 8. 90 indexed citations

Wang, Yimin, Qi Li, Lijuan Liu, et al.. (2019). TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain. Nature Communications. 10(1). 3474–3474. 54 indexed citations

10.

Teeter, Corinne, Ramakrishnan Iyer, Vilas Menon, et al.. (2018). Generalized leaky integrate-and-fire models classify multiple neuron types. Nature Communications. 9(1). 709–709. 129 indexed citations

11.

Bludau, Sebastian, Thomas W. Mühleisen, Simon B. Eickhoff, et al.. (2018). Integration of transcriptomic and cytoarchitectonic data implicates a role for MAOA and TAC1 in the limbic-cortical network. Brain Structure and Function. 223(5). 2335–2342. 19 indexed citations

12.

Zhou, Zhi, et al.. (2017). Automatic tracing of ultra-volumes of neuronal images. Nature Methods. 14(4). 332–333. 53 indexed citations

13.

Shillcock, Julian C., et al.. (2016). Reconstructing the brain: from image stacks to neuron synthesis. Brain Informatics. 3(4). 205–209. 5 indexed citations

14.

Wan, Yinan, Fuhui Long, Lei Qu, et al.. (2015). BlastNeuron for Automated Comparison, Retrieval and Clustering of 3D Neuron Morphologies. Neuroinformatics. 13(4). 487–499. 45 indexed citations

15.

Hawrylycz, Michael, Jane Roskams, Sean Hill, et al.. (2015). BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images. Neuron. 87(2). 252–256. 152 indexed citations

16.

Amunts, Katrin, Michael Hawrylycz, David C. Van Essen, et al.. (2014). Interoperable atlases of the human brain. NeuroImage. 99. 525–532. 59 indexed citations

17.

Zhou, Zhi, et al.. (2014). Adaptive Image Enhancement for Tracing 3D Morphologies of Neurons and Brain Vasculatures. Neuroinformatics. 13(2). 153–166. 35 indexed citations

18.

Hawrylycz, Michael, Darren Bertagnolli, Preston Cartagena, et al.. (2009). Informatics and imaging pipeline for development of a new multi-modal atlas of the human brain: imaging, anatomy, and gene expression. NeuroImage. 47. S162–S162. 1 indexed citations

19.

Sabo, Peter J., Richard Humbert, Michael Hawrylycz, et al.. (2004). Genome-wide identification of DNaseI hypersensitive sites using active chromatin sequence libraries. Proceedings of the National Academy of Sciences. 101(13). 4537–4542. 112 indexed citations

20.

Hawrylycz, Michael. (1996). Arguesian Identities in Invariant Theory. Advances in Mathematics. 122(1). 1–48. 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.

Explore authors with similar magnitude of impact