Maya Jay

514 citations
3 papers · 166 · 2 hit papers · h-index 3

Impact in

Papers in

Maya Jay

3 papers receiving 162 citations

Maya Jay's Hit Papers

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics 2024 · 64 citations
640+1+2Years since publication255075

Peers

Maya Jay
Comparison fields: 5 of 46
  • Cellular and Molecular Neuroscience 73
  • Cognitive Neuroscience 66
  • Cell Biology 29
  • Sensory Systems 6
  • Behavioral Neuroscience 4
Replace Mohammed Abdal Monium Osman with:
Mohammed Abdal Monium Osman United States
Daun Jeong South Korea
Matthew I. Becker United States
Tyler Benster United States
Ryan N. Hughes United States
Poorna A. Dharmasri United States
Mara Sabbioni Italy
Kenichiro Nagahama Japan
Jenny I. Aguilar United States
Giulia Valvo Italy
Maya Jay relative to Mohammed Abdal Monium Osman United States Mohammed Abdal Monium Osman's profile →
Citations per field
00.5×1.5×
Mohammed Abdal Monium Osman · 1×
Citations per year

Countries citing papers authored by Maya Jay

Since Specialization
Citations

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

Fields of papers citing papers by Maya Jay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Jay, 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 Maya Jay Line = papers co-authored together Maya Jay links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Spontaneous behaviour is structured by reinforcement without explicit reward
Hit paper breakdown →
202395
2
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
Hit paper breakdown →
202464
3 20227

About Maya Jay

Maya Jay is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 3 papers that have together received 166 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (2 papers), Neurotransmitter Receptor Influence on Behavior (1 paper), Neural dynamics and brain function (1 paper), Neurobiology and Insect Physiology Research (1 paper), Memory and Neural Mechanisms (1 paper) and Animal Behavior and Reproduction (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (73 citations), Cognitive Neuroscience (66 citations), Cell Biology (29 citations), Sensory Systems (6 citations) and Behavioral Neuroscience (4 citations). Maya Jay has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Mohammed Abdal Monium Osman, Sandeep Robert Datta, Winthrop F. Gillis, Caleb Weinreb, Scott W. Linderman, Jeffrey J. Wood, Dorothy Koveal, David H. Brann, Jeffrey E. Markowitz and Sandra Romero Pinto. Their work appears in journals such as Psychopharmacology, Nature and Nature Methods.

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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