C. G. Rasool

919 citations
29 papers · 829 · h-index 15

Impact in

Papers in

C. G. Rasool

26 papers receiving 768 citations

Peers

C. G. Rasool
Comparison fields: 5 of 74
  • Neurology 265
  • Cellular and Molecular Neuroscience 228
  • Physiology 298
  • Neurology 85
  • Genetics 80
Replace S. H. Appel with:
S. H. Appel United States
Jeannette N. Stankowski United States
Ellen Corsmit Belgium
Wei-Dong Le China
Masakuni Amari Japan
Chunli Duan China
Hideya Mizuno Japan
Shreyasi Chatterjee United Kingdom
Sébastien Feuillette France
Kazuyoshi Shinpo Japan
C. G. Rasool relative to S. H. Appel United States S. H. Appel's profile →
Citations per field
00.5×3.3×
S. H. Appel · 1×
Citations per year

Countries citing papers authored by C. G. Rasool

Since Specialization
Citations

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

Fields of papers citing papers by C. G. Rasool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983191
2 198690
3 198472
4 197965
5 198564
6 198144
7 198835
8 199134
9 198331
10 198429
11 197827
12 198125
13 198322
14 198819
15 198315
16 197614
17 198314
18 19856
19 19856
20 19836

About C. G. Rasool

C. G. Rasool is a scholar working on Molecular Biology, Physiology, Neurology, Cellular and Molecular Neuroscience and Cell Biology, having authored 29 papers that have together received 829 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Skin and Cellular Biology Research (3 papers), Pesticide Exposure and Toxicity (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Neurology (265 citations), Cellular and Molecular Neuroscience (228 citations), Physiology (298 citations), Neurology (85 citations) and Genetics (80 citations). C. G. Rasool has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Walter G. Bradley, Dennis J. Selkoe, Paul Good, Lester S. Adelman, Clive N. Svendsen, Carmela R. Abraham, Seymour Reichlin, J. Kahn, Brian H. Anderton and Margaret Haugh. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Neurology, Brain Research, Annals of Neurology and Annals of the New York Academy of Sciences.

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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