G Danta

1.6k citations
46 papers · 1.2k · h-index 20

Impact in

Papers in

G Danta

45 papers receiving 1.0k citations

Peers

G Danta
Comparison fields: 5 of 98
  • Neurology 264
  • Psychiatry and Mental health 203
  • Cellular and Molecular Neuroscience 175
  • Internal Medicine 35
  • Neurology 73
Replace D. M. Moody with:
D. M. Moody United States
V R Challa United States
G.A.B. Davies-Jones United Kingdom
Kristina Szabo Germany
Günther Bernert Austria
Takahiro Amano Japan
B Verbeeten Netherlands
S. J. Bakke Norway
Jimmy R. Fulgham United States
Christopher M. Loftus United States
G Danta relative to D. M. Moody United States D. M. Moody's profile →
Citations per field
00.5×1.5×2.3×
D. M. Moody · 1×
Citations per year

Countries citing papers authored by G Danta

Since Specialization
Citations

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

Fields of papers citing papers by G Danta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972142
2 1969131
3 1971110
4 199889
5 197581
6 197551
7 197538
8 200537
9 200535
10 198633
11 198632
12 196928
13 197828
14
Anticonvulsant effects on the memory performance of epileptics.
198427
15 197023
16 197023
17 197523
18 196822
19 197721
20 198820

About G Danta

G Danta is a scholar working on Neurology, Psychiatry and Mental health, Surgery, Pathology and Forensic Medicine and Epidemiology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epilepsy research and treatment (7 papers), Pharmacological Effects and Toxicity Studies (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Multiple Sclerosis Research Studies (4 papers), Neurological disorders and treatments (3 papers), Pain Mechanisms and Treatments (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Neurology (264 citations), Psychiatry and Mental health (203 citations), Cellular and Molecular Neuroscience (175 citations), Internal Medicine (35 citations) and Neurology (73 citations). G Danta has collaborated with scholars based in Australia, United Kingdom and Barbados. Frequent co-authors include Thomas J. Fowler, R. W. Gilliatt, R C Hilton, Joan Acheson, E. C. Hutchinson, David O. Willenborg, J. L. Ochoa, Roy G. Beran, Samuel F. Berkovic and Frank Vajda. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Thrombosis and Haemostasis, Brain, Epilepsia and Journal of Neuroimmunology.

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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