Clarissa J. Liew

704 total citations
9 papers, 475 citations indexed

About

Clarissa J. Liew is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Clarissa J. Liew has authored 9 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Psychiatry and Mental health and 3 papers in Molecular Biology. Recurrent topics in Clarissa J. Liew's work include Epilepsy research and treatment (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and RNA regulation and disease (2 papers). Clarissa J. Liew is often cited by papers focused on Epilepsy research and treatment (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and RNA regulation and disease (2 papers). Clarissa J. Liew collaborates with scholars based in United States, Australia and Cameroon. Clarissa J. Liew's co-authors include Susumu Satô, Anthony Donsante, Stephen G. Kaler, William H. Theodore, Sadat Shamim, Nicholas J. Patronas, Jingrong Tang, Courtney Holmes, David S. Goldstein and Gregor Hasler and has published in prestigious journals such as New England Journal of Medicine, Neurology and Epilepsia.

In The Last Decade

Clarissa J. Liew

9 papers receiving 460 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clarissa J. Liew United States 8 183 161 134 115 68 9 475
Eleni Panagiotakaki France 10 140 0.8× 113 0.7× 140 1.0× 42 0.4× 40 0.6× 19 419
Hameed Al‐Sarraf Kuwait 13 45 0.2× 144 0.9× 32 0.2× 151 1.3× 55 0.8× 21 499
R L Burger United States 9 52 0.3× 183 1.1× 125 0.9× 208 1.8× 62 0.9× 10 417
Tim T. Chen United States 5 50 0.3× 169 1.0× 120 0.9× 180 1.6× 28 0.4× 5 350
Ruth Seemann United States 12 57 0.3× 185 1.1× 181 1.4× 172 1.5× 55 0.8× 13 511
Mitsuo Maehara Japan 12 28 0.2× 164 1.0× 263 2.0× 165 1.4× 166 2.4× 27 542
Agata Różycka Poland 15 20 0.1× 236 1.5× 56 0.4× 106 0.9× 50 0.7× 29 519
Panthea Heydari United States 4 62 0.3× 72 0.4× 39 0.3× 31 0.3× 23 0.3× 5 359
Bari̇a Öztaş Türkiye 13 56 0.3× 81 0.5× 49 0.4× 101 0.9× 61 0.9× 30 353
Alex S. Bender United States 13 25 0.1× 208 1.3× 50 0.4× 246 2.1× 26 0.4× 17 556

Countries citing papers authored by Clarissa J. Liew

Since Specialization
Citations

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

Fields of papers citing papers by Clarissa J. Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clarissa J. Liew. 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 Clarissa J. Liew. The network helps show where Clarissa J. Liew may publish in the future.

Co-authorship network of co-authors of Clarissa J. Liew

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

All Works

9 of 9 papers shown
1.
Theodore, William H., Omar Khan, Clarissa J. Liew, et al.. (2012). PET of Serotonin 1A Receptors and Cerebral Glucose Metabolism for Temporal Lobectomy. Journal of Nuclear Medicine. 53(9). 1375–1382. 15 indexed citations
2.
Li, Yuebing, et al.. (2010). Sulcal Artery Syndrome after Vertebral Artery Dissection. Journal of Stroke and Cerebrovascular Diseases. 19(4). 333–335. 5 indexed citations
3.
Kaler, Stephen G., et al.. (2010). Molecular correlates of epilepsy in early diagnosed and treated Menkes disease. Journal of Inherited Metabolic Disease. 33(5). 583–589. 43 indexed citations
4.
Shamim, Sadat, Edythe Wiggs, John D. Heiss, et al.. (2009). Temporal lobectomy: Resection volume, neuropsychological effects, and seizure outcome. Epilepsy & Behavior. 16(2). 311–314. 27 indexed citations
5.
Pearl, Phillip L., K. Michael Gibson, Zenaide Quezado, et al.. (2009). Decreased GABA-A binding on FMZ-PET in succinic semialdehyde dehydrogenase deficiency. Neurology. 73(6). 423–429. 71 indexed citations
6.
Liew, Clarissa J., Young‐Min Lim, Robert Bonwetsch, et al.. (2008). 18FFCWAY and 18F‐FDG PET in MRI‐negative temporal lobe epilepsy. Epilepsia. 50(2). 234–239. 53 indexed citations
7.
Shamim, Sadat, Gregor Hasler, Clarissa J. Liew, Susumu Satô, & William H. Theodore. (2008). Temporal lobe epilepsy, depression, and hippocampal volume. Epilepsia. 50(5). 1067–1071. 53 indexed citations
8.
Kaler, Stephen G., Courtney Holmes, David S. Goldstein, et al.. (2008). Neonatal Diagnosis and Treatment of Menkes Disease. New England Journal of Medicine. 358(6). 605–614. 194 indexed citations
9.
Ottman, Ruth, Lisa R. Rosenberger, Anto Bagić, et al.. (2008). Altered language processing in autosomal dominant partial epilepsy with auditory features. Neurology. 71(24). 1973–1980. 14 indexed citations

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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