Hafsa Mamsa

20 total papers · 1.2k total citations
8 papers, 333 citations indexed

About

Hafsa Mamsa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Hafsa Mamsa has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Clinical Biochemistry. Recurrent topics in Hafsa Mamsa's work include Genetic Neurodegenerative Diseases (4 papers), Ion channel regulation and function (2 papers) and Mitochondrial Function and Pathology (2 papers). Hafsa Mamsa is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Ion channel regulation and function (2 papers) and Mitochondrial Function and Pathology (2 papers). Hafsa Mamsa collaborates with scholars based in United States, Switzerland and Cyprus. Hafsa Mamsa's co-authors include Joanna C. Jen, Robert W. Baloh, Jijun Wan, Stanley F. Nelson, Rune R. Frants, Elles M. J. Boon, Michel D. Ferrari, Boukje de Vries, Arn M. J. M. van den Maagdenberg and Bruce D. Howard and has published in prestigious journals such as Brain, Human Molecular Genetics and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Hafsa Mamsa

8 papers receiving 330 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hafsa Mamsa 203 135 73 69 52 8 333
Arn van den Maagdenberg 215 1.1× 101 0.7× 98 1.3× 20 0.3× 50 1.0× 10 368
Giulio Grieco 190 0.9× 144 1.1× 146 2.0× 77 1.1× 25 0.5× 14 355
Alessandra Tonelli 164 0.8× 127 0.9× 48 0.7× 58 0.8× 23 0.4× 10 309
Anders Heuck 211 1.0× 65 0.5× 76 1.0× 23 0.3× 29 0.6× 12 368
Toke Jost Isaksen 162 0.8× 81 0.6× 73 1.0× 36 0.5× 29 0.6× 14 307
R. Funicello 182 0.9× 63 0.5× 167 2.3× 43 0.6× 34 0.7× 9 389
Lucas Scott 192 0.9× 125 0.9× 20 0.3× 57 0.8× 20 0.4× 7 360
L. Calandriello 214 1.1× 203 1.5× 36 0.5× 52 0.8× 146 2.8× 9 324
A. Gardiner 71 0.3× 83 0.6× 139 1.9× 26 0.4× 89 1.7× 9 346
Zhi Hou 135 0.7× 121 0.9× 122 1.7× 42 0.6× 42 0.8× 14 398

Countries citing papers authored by Hafsa Mamsa

Since Specialization
Citations

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

Fields of papers citing papers by Hafsa Mamsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hafsa Mamsa

This figure shows the co-authorship network connecting the top 25 collaborators of Hafsa Mamsa. A scholar is included among the top collaborators of Hafsa Mamsa 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 Hafsa Mamsa. Hafsa Mamsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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