Sarah Halawani

10 total papers · 407 total citations
7 papers, 277 citations indexed

About

Sarah Halawani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sarah Halawani has authored 7 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Sarah Halawani's work include Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Neuroscience and Neuropharmacology Research (1 paper). Sarah Halawani is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Neuroscience and Neuropharmacology Research (1 paper). Sarah Halawani collaborates with scholars based in United States, Italy and United Kingdom. Sarah Halawani's co-authors include David R. Lynch, Yi Dong, Joseph Johnson, Hong Lin, Amy Rattelle, Jordi Magrané, Elisia Clark, Анна Степанова, Alexander Galkin and Ian A. Blair and has published in prestigious journals such as Archives of Biochemistry and Biophysics, Neuroscience Letters and Frontiers in Neuroscience.

In The Last Decade

Sarah Halawani

7 papers receiving 275 citations

Author Peers

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

Author Last Decade Papers Cites
Sarah Halawani 193 95 55 40 30 7 277
Joseph Johnson 175 0.9× 64 0.7× 46 0.8× 37 0.9× 28 0.9× 11 299
Annika Pfeiffer 215 1.1× 75 0.8× 25 0.5× 26 0.7× 33 1.1× 7 311
Eva Lavado 164 0.8× 80 0.8× 74 1.3× 27 0.7× 38 1.3× 7 325
Grant C. Walters 192 1.0× 63 0.7× 51 0.9× 28 0.7× 55 1.8× 7 304
Mirna Assoum 164 0.8× 81 0.9× 32 0.6× 17 0.4× 26 0.9× 7 325
Zhi-hua Yang 178 0.9× 60 0.6× 50 0.9× 98 2.5× 45 1.5× 15 321
Fangshuo Zheng 116 0.6× 109 1.1× 37 0.7× 36 0.9× 16 0.5× 15 260
Cristina Picci 130 0.7× 81 0.9× 65 1.2× 26 0.7× 29 1.0× 8 254
Yu-ming Xu 214 1.1× 80 0.8× 39 0.7× 25 0.6× 45 1.5× 7 291
Chang-he Shi 214 1.1× 80 0.8× 39 0.7× 25 0.6× 45 1.5× 7 291

Countries citing papers authored by Sarah Halawani

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Halawani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Halawani

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Halawani. A scholar is included among the top collaborators of Sarah Halawani 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 Sarah Halawani. Sarah Halawani 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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