Michael Hawrylycz

51.5k citations
64 papers · 8.6k indexed · 2 hit papers · h-index 32
Topics
Cell Image Analysis Techniques (23 papers)Single-cell and spatial transcriptomics (22 papers)Gene expression and cancer classification (11 papers)

In The Last Decade

Michael Hawrylycz

64 papers receiving 8.6k citations

Hit Papers

A robust and high-throughput Cre reporting and characteri...20092026201420202009201210002.0k3.0k4.0k

Peers

Michael Hawrylycz
Comparison fields: 5 of 173
  • Molecular Biology 4.1k
  • Cellular and Molecular Neuroscience 2.4k
  • Cognitive Neuroscience 1.7k
  • Genetics 848
  • Biophysics 790
Replace Lydia Ng with:
Lydia Ng United States
Susan M. Sunkin United States
Ed S. Lein United States
Pavel Osten United States
Allan R. Jones United States
Linda Madisen United States
Peter Lönnerberg Sweden
Herwig Baier United States
Seung Wook Oh United States
Sten Linnarsson Sweden
Michael Hawrylycz relative to Lydia Ng United States Lydia Ng's profile →
Citations per field
00.5×1.6×
Lydia Ng · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 17
4 18
5 23
6 27
7 38
8 90
9 54
10 129
11 19
12 5
13 152
14 45
15 59
16 131
17 35
18 304
19 112
20 7

About Michael Hawrylycz

Michael Hawrylycz is a scholar working on Biophysics, Developmental Neuroscience and Neurology, having authored 64 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (23 papers), Single-cell and spatial transcriptomics (22 papers) and Gene expression and cancer classification (11 papers). The work is most often cited by research in Developmental Neuroscience (773 citations), Biophysics (790 citations) and Cellular and Molecular Neuroscience (2.4k citations). Michael Hawrylycz has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lydia Ng, Susan M. Sunkin, Ed S. Lein, Hongkui Zeng, Allan R. Jones, Seung Wook Oh, Hatim A. Zariwala, Richard D. Palmiter, Theresa A. Zwingman and Linda Madisen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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