Jay Shetty

1.6k citations
22 papers · 364 indexed · h-index 11

Impact in

Papers in

Jay Shetty

21 papers receiving 357 citations

Peers

Jay Shetty
Comparison fields: 5 of 68
  • Psychiatry and Mental health 134
  • Pediatrics, Perinatology and Child Health 144
  • Computational Mathematics 3
  • Immunology 57
  • Infectious Diseases 46
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Özlem Çokar Türkiye
Monika Eisermann France
Antonio Escartín Spain
Abdelkarim A. Al-Qudah Jordan
Juan José Garcı́a-Peñas Spain
Ömer Bektaş Türkiye
Aaron L. Zuckerberg United States
Yasuhisa Toribe Japan
Annacarmen Nilo Italy
Hiroyuki Wakamoto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jay Shetty

Since Specialization
Citations

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

Fields of papers citing papers by Jay Shetty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201566
2 201964
3 201832
4 201927
5 202324
6 201524
7 201820
8 201818
9 201917
10 201813
11 201912
12 202110
13 20149
14 20219
15 20216
16 20193
17 20123
18 20202
19 20242
20 20172

About Jay Shetty

Jay Shetty is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Clinical Psychology, Neurology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Epilepsy research and treatment (10 papers), Pharmacological Effects and Toxicity Studies (5 papers), Neonatal and fetal brain pathology (4 papers), Family and Disability Support Research (3 papers), Viral Infections and Immunology Research (3 papers), Infant Development and Preterm Care (2 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Psychiatry and Mental health (134 citations), Pediatrics, Perinatology and Child Health (144 citations), Computational Mathematics (3 citations), Immunology (57 citations) and Infectious Diseases (46 citations). Jay Shetty has collaborated with scholars based in United Kingdom and France. Frequent co-authors include John H. Livingston, Yanick J. Crow, Richard Chin, Ailsa McLellan, Michael Yoong, Martin Kirkpatrick, Stephen A. Greene, Pasquale Gallo, Amir Kirolos and Kate Templeton. Their work appears in journals such as Developmental Medicine & Child Neurology, Epilepsy & Behavior, European Journal of Paediatric Neurology, Archives of Disease in Childhood and European Journal of Public Health.

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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