Maya N. Hatch

564 total citations
19 papers, 393 citations indexed

About

Maya N. Hatch is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Maya N. Hatch has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Maya N. Hatch's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Maya N. Hatch is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Maya N. Hatch collaborates with scholars based in United States, Netherlands and Japan. Maya N. Hatch's co-authors include Eric Y. Chang, Steven C. Cramer, Gregory D. Carlson, Hans S. Keirstead, Thomas E. Lane, Gabriel Nistor, Oswald Steward, Kelly Matsudaira Yee, Kelli Sharp and Joseph F. Bonner and has published in prestigious journals such as Journal of Neuroscience, Neurology and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Maya N. Hatch

18 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya N. Hatch United States 11 108 99 95 88 65 19 393
Guzal Khayrullina United States 11 134 1.2× 50 0.5× 129 1.4× 74 0.8× 36 0.6× 21 437
Shan Ou China 16 56 0.5× 78 0.8× 97 1.0× 103 1.2× 68 1.0× 43 686
Jin-Hwan Yoon South Korea 10 35 0.3× 127 1.3× 101 1.1× 143 1.6× 52 0.8× 40 405
Mouwang Zhou China 12 124 1.1× 102 1.0× 122 1.3× 59 0.7× 21 0.3× 32 448
Katarzyna Trok Sweden 9 212 2.0× 138 1.4× 40 0.4× 101 1.1× 52 0.8× 14 390
Sándor Pintér Hungary 13 127 1.2× 43 0.4× 98 1.0× 88 1.0× 33 0.5× 33 470
Mariël P. ter Laak Netherlands 8 107 1.0× 67 0.7× 33 0.3× 82 0.9× 35 0.5× 10 325
Yung-Jen Huang United States 12 250 2.3× 189 1.9× 75 0.8× 160 1.8× 21 0.3× 16 411
Johnny Morehouse United States 8 204 1.9× 32 0.3× 81 0.9× 67 0.8× 26 0.4× 16 348
Xiaoli Fan China 14 45 0.4× 108 1.1× 147 1.5× 46 0.5× 38 0.6× 54 550

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-authorship network of co-authors of Maya N. Hatch

This figure shows the co-authorship network connecting the top 25 collaborators of Maya N. Hatch. A scholar is included among the top collaborators of Maya N. Hatch 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 Maya N. Hatch. Maya N. Hatch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Mellion, Michelle, Markus Karlsson, André Ahlgren, et al.. (2022). Quantitative Muscle Analysis in FSHD Using Whole-Body Fat-Referenced MRI. Neurology. 99(9). e877–e889. 18 indexed citations
2.
Han, Jay J., Maya N. Hatch, Ian Cameron, et al.. (2022). Reachable workspace analysis is a potential measurement for impairment of the upper extremity in neuralgic amyotrophy. Muscle & Nerve. 66(3). 282–288. 3 indexed citations
3.
Hatch, Maya N., et al.. (2022). Dual utilization of Medicare and VA outpatient care among Veterans with spinal cord injuries and disorders. Journal of Spinal Cord Medicine. 46(5). 716–724. 2 indexed citations
4.
Kim, Min-Su, et al.. (2022). Sensor acquired reachable workspace in the elderly population: A cross-sectional observational study. Medicine. 101(30). e29575–e29575. 1 indexed citations
5.
Chan, Vicky, Maya N. Hatch, Gregorij Kurillo, Jay J. Han, & Diego Cadavid. (2020). Development of an Optimized Timed Up and Go (oTUG) for Measurement of Changes in Mobility Impairment in Facioscapulohumeral Muscular Dystrophy (FSHD) Clinical Trials (2228). Neurology. 94(15_supplement). 2 indexed citations
6.
Han, Jay J., Maya N. Hatch, Vicky Chan, & Gregorij Kurillo. (2020). Kinect-acquired Reachable Workspace correlates with patient-reported upper extremity Activities of Daily Living (ADLs) function in FSHD (1414). Neurology. 94(15_supplement).
7.
Kabelac, Zachary, Hariharan Rahul, Rumen Hristov, et al.. (2020). An In-Home Study of Facioscapulohumeral Muscular Dystrophy (FSHD) Patients using Contactless Wireless Sensing and Machine Learning (1561). Neurology. 94(15_supplement). 4 indexed citations
8.
Hatch, Maya N., Gregorij Kurillo, Vicky Chan, & Jay J. Han. (2020). Motion sensor‐acquired reachable workspace correlates with patient‐reported upper extremity activities of daily living (ADL) function in facioscapulohumeral dystrophy. Muscle & Nerve. 63(2). 250–257. 6 indexed citations
9.
Hatch, Maya N., Rachael N. Martínez, Bella Etingen, et al.. (2020). Characterization of Telehealth Use in Veterans With Spinal Cord Injuries and Disorders. PM&R. 13(10). 1094–1103. 4 indexed citations
10.
Hatch, Maya N., et al.. (2019). Longitudinal study of upper extremity reachable workspace in fascioscapulohumeral muscular dystrophy. Neuromuscular Disorders. 29(7). 503–513. 11 indexed citations
11.
Hatch, Maya N., et al.. (2018). Evaluating the Use of Medicare Part D in the Veteran Population With Spinal Cord Injury/Disorder. Archives of Physical Medicine and Rehabilitation. 99(6). 1099–1107. 15 indexed citations
12.
Hatch, Maya N., et al.. (2017). Neuropathic pain and SCI: Identification and treatment strategies in the 21st century. Journal of the Neurological Sciences. 384. 75–83. 77 indexed citations
13.
Hatch, Maya N., et al.. (2016). Demystifying Poststroke Pain: From Etiology to Treatment. PM&R. 9(1). 63–75. 75 indexed citations
14.
Steward, Oswald, Kelli Sharp, Kelly Matsudaira Yee, Maya N. Hatch, & Joseph F. Bonner. (2014). Characterization of Ectopic Colonies That Form in Widespread Areas of the Nervous System with Neural Stem Cell Transplants into the Site of a Severe Spinal Cord Injury. Journal of Neuroscience. 34(42). 14013–14021. 47 indexed citations
15.
Lee, Su Jin, Xing Zhao, Maya N. Hatch, Sophia Chun, & Eric Y. Chang. (2013). Central Neuropathic Pain in Spinal Cord Injury. Critical Reviews in Physical and Rehabilitation Medicine. 25(3-4). 159–172. 34 indexed citations
16.
Tirotta, Emanuele, Leslie A. Kirby, Maya N. Hatch, & Thomas E. Lane. (2012). IFN-γ-induced apoptosis of human embryonic stem cell derived oligodendrocyte progenitor cells is restricted by CXCR2 signaling. Stem Cell Research. 9(3). 208–217. 29 indexed citations
17.
Sharp, Jason, Maya N. Hatch, Gabriel Nistor, & Hans S. Keirstead. (2011). Derivation of Oligodendrocyte Progenitor Cells from Human Embryonic Stem Cells. Methods in molecular biology. 767. 399–409. 12 indexed citations
18.
Hatch, Maya N., Chris S. Schaumburg, Thomas E. Lane, & Hans S. Keirstead. (2009). Endogenous remyelination is induced by transplant rejection in a viral model of multiple sclerosis. Journal of Neuroimmunology. 212(1-2). 74–81. 33 indexed citations
19.
Hatch, Maya N., Gabriel Nistor, & Hans S. Keirstead. (2009). Derivation of High-Purity Oligodendroglial Progenitors. Methods in molecular biology. 549. 59–75. 20 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.

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