Don Shin

3.5k citations
52 papers · 2.8k · h-index 31

Impact in

Papers in

Don Shin

52 papers receiving 2.7k citations

Peers

Don Shin
Comparison fields: 5 of 91
  • Psychiatry and Mental health 1.2k
  • Cellular and Molecular Neuroscience 1.5k
  • Developmental Neuroscience 261
  • Biological Psychiatry 106
  • Pediatrics, Perinatology and Child Health 673
Replace Jana Velı́šková with:
Jana Velı́šková United States
Sookyong Koh United States
Libor Velı́šek United States
Frances E. Jensen United States
Andréy Mazarati United States
Anna Patten United Kingdom
Paolo Francesco Fabene Italy
Denson G. Fujikawa United States
Elsa M. Valdizán Spain
Raman Sankar United States
Don Shin relative to Jana Velı́šková United States Jana Velı́šková's profile →
Citations per field
00.5×1.5×2.5×
Jana Velı́šková · 1×
Citations per year

Countries citing papers authored by Don Shin

Since Specialization
Citations

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

Fields of papers citing papers by Don Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998348
2 1998149
3 2009125
4 2010118
5 2000109
6 199791
7 199888
8 201884
9 200682
10 200081
11 200281
12 201079
13 200779
14 201378
15 201373
16 200973
17 200967
18 201067
19 200758
20 199755

About Don Shin

Don Shin is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Molecular Biology, Pediatrics, Perinatology and Child Health and Social Psychology, having authored 52 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Epilepsy research and treatment (16 papers), Neonatal and fetal brain pathology (8 papers), Neuroendocrine regulation and behavior (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Neuropeptides and Animal Physiology (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Psychiatry and Mental health (1.2k citations), Cellular and Molecular Neuroscience (1.5k citations), Developmental Neuroscience (261 citations), Biological Psychiatry (106 citations) and Pediatrics, Perinatology and Child Health (673 citations). Don Shin has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Andréy Mazarati, Raman Sankar, Raman Sankar, Claude G. Wasterlain, Hantao Liu, Stéphane Auvin, Eduardo Pineda, Anne Pereira de Vasconcelos, Hiroshi Katsumori and Jesús‐Servando Medel‐Matus. Their work appears in journals such as Epilepsia, Epilepsy & Behavior, Neurotherapeutics, Brain Research and Neurobiology of Disease.

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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