Maya Katz

2.4k citations
51 papers · 1.9k · h-index 23

Impact in

  • Neurology top 2%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
  • Pharmacy top 5%
    • Nursing care and research

Papers in

Maya Katz

50 papers receiving 1.8k citations

Peers

Maya Katz
Comparison fields: 5 of 62
  • Neurology 528
  • Pharmacy 52
  • Public Health, Environmental and Occupational Health 623
  • Health 33
  • Physical Therapy, Sports Therapy and Rehabilitation 15
Replace Anna Montuschi with:
Anna Montuschi Italy
Meredith Spindler United States
Douglas J. Mitchell United Kingdom
Belén Frades Spain
Nuria Suelves Caballol Spain
André Maier Germany
Alberto Bergareche Spain
Víctor Puente Spain
Emanuele Spina Italy
Laurie Wagner United States
Maya Katz relative to Anna Montuschi Italy Anna Montuschi's profile →
Citations per field
00.5×10×20×32.8×
Anna Montuschi · 1×
Citations per year

Countries citing papers authored by Maya Katz

Since Specialization
Citations

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

Fields of papers citing papers by Maya Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017178
2 2011140
3 2015139
4 2020137
5 2018125
6 2019111
7 201580
8 201572
9 202169
10 201765
11 201962
12 201358
13 201650
14 202043
15 201539
16 201138
17 202138
18 201736
19 201734
20 201934

About Maya Katz

Maya Katz is a scholar working on Neurology, Public Health, Environmental and Occupational Health, Health, Psychiatry and Mental health and Biochemistry, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (16 papers), Neurological disorders and treatments (11 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Telemedicine and Telehealth Implementation (5 papers), Religion, Spirituality, and Psychology (3 papers), Neurological Complications and Syndromes (1 paper), Sulfur Compounds in Biology (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (528 citations), Pharmacy (52 citations), Public Health, Environmental and Occupational Health (623 citations), Health (33 citations) and Physical Therapy, Sports Therapy and Rehabilitation (15 citations). Maya Katz has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Benzi M. Kluger, Nicholas B. Galifianakis, Janis M. Miyasaki, Stefan Sillau, Jill L. Ostrem, Marta San Luciano, Philip A. Starr, Steve Z. Pantilat, Paul Larson and Lindsay Penny Prizer. Their work appears in journals such as Parkinsonism & Related Disorders, Annals of Palliative Medicine, Neurology, JAMA Neurology and Journal of Palliative Medicine.

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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