Michalis Michaelos

5.0k citations
8 papers · 2.1k · 1 hit paper · h-index 8

Impact in

Papers in

Michalis Michaelos

8 papers receiving 2.1k citations

Michalis Michaelos's Hit Papers

Cellpose: a generalist algorithm for cellular segmentation 2020 · 1.9k citations
1.9k0+2+4Years since publication50010001.5k

Peers

Michalis Michaelos
Comparison fields: 5 of 145
  • Biophysics 650
  • Structural Biology 37
  • Media Technology 170
  • Molecular Biology 923
  • Cell Biology 220
Replace Vannary Meas‐Yedid with:
Vannary Meas‐Yedid France
Lee Kamentsky United States
Yuxin Li China
Carsten Marr Germany
Stéphane Dallongeville France
Andrew R. Cohen United States
Allen Goodman United States
Yinan Wan United States
Samuel Yang United States
Michalis Michaelos relative to Vannary Meas‐Yedid France Vannary Meas‐Yedid's profile →
Citations per field
00.5×8.1×
Vannary Meas‐Yedid · 1×
Citations per year

Countries citing papers authored by Michalis Michaelos

Since Specialization
Citations

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

Fields of papers citing papers by Michalis Michaelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michalis Michaelos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michalis Michaelos Line = papers co-authored together Michalis Michaelos links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Cellpose: a generalist algorithm for cellular segmentation
Hit paper breakdown →
20201921
2 202186
3 201729
4 201621
5 201615
6 201815
7 202512
8 201910

About Michalis Michaelos

Michalis Michaelos is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Behavioral Neuroscience and Neurology, having authored 8 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Stress Responses and Cortisol (2 papers), Visual perception and processing mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Biophysics (650 citations), Structural Biology (37 citations), Media Technology (170 citations), Molecular Biology (923 citations) and Cell Biology (220 citations). Michalis Michaelos has collaborated with scholars based in United States. Frequent co-authors include Carsen Stringer, Marius Pachitariu, Dmitri Tsyboulski, Sarah Lindo, Mary F. Kritzer, William F. Collins, Lisa S. Robison, Brenda J. Anderson, Panayotis K. Thanos and John K. Robinson. Their work appears in journals such as Nature Methods, Journal of Alzheimer s Disease, Neuroscience, Frontiers in Behavioral Neuroscience and Nature.

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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