Maya N. Hatch

587 citations
21 papers · 414 · h-index 11

Impact in

Papers in

Maya N. Hatch

19 papers receiving 406 citations

Peers

Maya N. Hatch
Comparison fields: 5 of 77
  • Developmental Neuroscience 61
  • Rehabilitation 41
  • Pathology and Forensic Medicine 90
  • Anesthesiology and Pain Medicine 26
  • Neurology 32
Replace Katarzyna Trok with:
Katarzyna Trok Sweden
Rochelle J. Deibert United States
Yong Sup Shin South Korea
Qing‐Gui Xu Canada
Kenta Furutani Japan
F.W. Bertelsmann Netherlands
Guzal Khayrullina United States
Sogol Meknatkhah Iran
Víctor M. López-Álvarez Spain
Wei-can Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Maya N. Hatch

Since Specialization
Citations

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

Fields of papers citing papers by Maya N. Hatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201678
3 201448
4 201334
5 200933
6 201229
7 200920
8 202220
9 201815
10 201915
11 201112
12 20209
13 20206
14 20224
15 20204
16 20203
17 20222
18 20222
19 20251
20 20200

About Maya N. Hatch

Maya N. Hatch is a scholar working on Molecular Biology, Developmental Neuroscience, Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 414 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers), Muscle Physiology and Disorders (3 papers), Muscle activation and electromyography studies (2 papers), Pain Mechanisms and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Spinal Cord Injury Research (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (61 citations), Rehabilitation (41 citations), Pathology and Forensic Medicine (90 citations), Anesthesiology and Pain Medicine (26 citations) and Neurology (32 citations). Maya N. Hatch has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Eric Y. Chang, Andrew Treister, Gregory D. Carlson, Steven C. Cramer, Hans S. Keirstead, Thomas E. Lane, Joseph F. Bonner, Oswald Steward, Kelly Matsudaira Yee and Gabriel Nistor. Their work appears in journals such as Neurology, Neuromuscular Disorders, PM&R, Muscle & Nerve and Journal of Neuroimmunology.

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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