Suhail Asrar

1.0k citations
12 papers · 634 indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (8 papers)Ion channel regulation and function (4 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)
Partner nations
CanadaChinaJapan

In The Last Decade

Suhail Asrar

11 papers receiving 630 citations

Peers

Suhail Asrar
Comparison fields: 5 of 79
  • Molecular Biology 313
  • Cellular and Molecular Neuroscience 286
  • Cell Biology 127
  • Genetics 108
  • Public Health, Environmental and Occupational Health 82
Replace Akiko Nakano-Kobayashi with:
Akiko Nakano-Kobayashi Japan
Kenji Amano Japan
Y Peng Loh United States
Flavia Bollati Argentina
Patricia Marshall United States
Milena Laure‐Kamionowska Poland
Carolina Montenegro‐Venegas Germany
Maolei Xiao United States
Mari Kondo Japan
Tomonari Tsutsumi Japan
Suhail Asrar relative to Akiko Nakano-Kobayashi Japan Akiko Nakano-Kobayashi's profile →
Citations per field
00.5×1.5×2.3×
Akiko Nakano-Kobayashi · 1×
Citations per year

Countries citing papers authored by Suhail Asrar

Since Specialization
Citations

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

Fields of papers citing papers by Suhail Asrar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhail Asrar

This figure shows the co-authorship network connecting the top 25 collaborators of Suhail Asrar. A scholar is included among the top collaborators of Suhail Asrar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suhail Asrar. Suhail Asrar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 14
2 58
3 0
4 18
5 18
6 4
7 89
8 97
9 57
10 85
11 96
12 98

About Suhail Asrar

Suhail Asrar is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cell Biology, having authored 12 papers that have together received 634 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (79 citations), Cellular and Molecular Neuroscience (286 citations) and Cell Biology (127 citations). Suhail Asrar has collaborated with scholars based in Canada, China and Japan. Frequent co-authors include Zhengping Jia, Zikai Zhou, Yanghong Meng, Wei Xie, Mark Henkelman, Wei Ren, Toshikazu Nakamura, Yu Zhang, Hisaaki Takahashi and Michelle Aarts. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and Brain Research.

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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