Amitabh Dash

984 citations
31 papers · 673 · h-index 12

Impact in

Papers in

Amitabh Dash

29 papers receiving 655 citations

Peers

Amitabh Dash
Comparison fields: 5 of 95
  • Psychiatry and Mental health 342
  • Pediatrics, Perinatology and Child Health 204
  • Cellular and Molecular Neuroscience 151
  • Neurology 67
  • Pharmacology 123
Replace Barbara Błaszczyk with:
Barbara Błaszczyk Poland
Esa Heinonen Finland
Jessica Falco‐Walter United States
Ikuo Nomura Japan
Mariangela Panebianco United Kingdom
Robert A. Swarm United States
Martina Tallarico Italy
George DeMaagd United States
Cameron S. Metcalf United States
Lucy Vivash Australia
Amitabh Dash relative to Barbara Błaszczyk Poland Barbara Błaszczyk's profile →
Citations per field
00.5×1.5×2.3×
Barbara Błaszczyk · 1×
Citations per year

Countries citing papers authored by Amitabh Dash

Since Specialization
Citations

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

Fields of papers citing papers by Amitabh Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 201682
3 201775
4 201564
5 201757
6 201655
7 201531
8 201917
9 201614
10 201912
11 201612
12 202012
13 201211
14 201910
15 20259
16 20167
17 20107
18 20205
19 20224
20 20254

About Amitabh Dash

Amitabh Dash is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Pharmacology and Physiology, having authored 31 papers that have together received 673 indexed citations. Recurring topics across this work include Epilepsy research and treatment (17 papers), Pharmacological Effects and Toxicity Studies (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Schizophrenia research and treatment (3 papers) and Advanced Glycation End Products research (2 papers). The work is most often cited by research in Psychiatry and Mental health (342 citations), Pediatrics, Perinatology and Child Health (204 citations), Cellular and Molecular Neuroscience (151 citations), Neurology (67 citations) and Pharmacology (123 citations). Amitabh Dash has collaborated with scholars based in Japan, South Korea and India. Frequent co-authors include Patrick Kwan, Eugen Trinka, Nagaendran Kandiah, Jae‐Hong Lee, Seul‐Ki Jeong, Jung‐Lung Hsu, Chesda Udommongkol, Chuthamanee Suthisisang, Seung Hyun Kim and E. Mohandas. Their work appears in journals such as Epilepsia, CNS Neuroscience & Therapeutics, Acta Neurologica Scandinavica, Alzheimer s & Dementia and The Journal of Prevention of Alzheimer s 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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