Clarissa Elysia Fu

32 total papers · 1.6k total citations
20 papers, 403 citations indexed

About

Clarissa Elysia Fu is a scholar working on Epidemiology, Hepatology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Clarissa Elysia Fu has authored 20 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 9 papers in Hepatology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Clarissa Elysia Fu's work include Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (7 papers) and Diet, Metabolism, and Disease (6 papers). Clarissa Elysia Fu is often cited by papers focused on Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (7 papers) and Diet, Metabolism, and Disease (6 papers). Clarissa Elysia Fu collaborates with scholars based in Singapore, United States and Hong Kong. Clarissa Elysia Fu's co-authors include Cheng Han Ng, Mark Muthiah, Darren Jun Hao Tan, Wen Hui Lim, Daniel Q. Huang, Rebecca Wenling Zeng, Kai En Chan, Jie Ning Yong, Nicholas Syn and Jieling Xiao and has published in prestigious journals such as PLoS ONE, Hepatology and The American Journal of Cardiology.

In The Last Decade

Clarissa Elysia Fu

19 papers receiving 396 citations

Hit Papers

Patterns in Cancer Incide... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Clarissa Elysia Fu 259 119 106 67 55 20 403
Rebecca Wenling Zeng 263 1.0× 119 1.0× 112 1.1× 66 1.0× 55 1.0× 18 402
Hossein Nobakht 233 0.9× 86 0.7× 90 0.8× 46 0.7× 58 1.1× 33 402
Parth Patel 215 0.8× 85 0.7× 92 0.9× 24 0.4× 48 0.9× 21 369
Gholamreza Hemmasi 223 0.9× 98 0.8× 129 1.2× 65 1.0× 92 1.7× 21 437
Snow Yunni Lin 305 1.2× 122 1.0× 132 1.2× 43 0.6× 56 1.0× 18 433
Coşkun Özer Demirtaş 260 1.0× 239 2.0× 51 0.5× 79 1.2× 42 0.8× 35 379
Junfeng Zhang 246 0.9× 79 0.7× 93 0.9× 45 0.7× 40 0.7× 25 418
Kazuhisa Kodama 310 1.2× 211 1.8× 105 1.0× 23 0.3× 70 1.3× 34 443
Faruk Memik 188 0.7× 67 0.6× 96 0.9× 87 1.3× 51 0.9× 23 383
Khaled W. Kabbara 286 1.1× 124 1.0× 76 0.7× 23 0.3× 38 0.7× 13 370

Countries citing papers authored by Clarissa Elysia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Clarissa Elysia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarissa Elysia Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Clarissa Elysia Fu. A scholar is included among the top collaborators of Clarissa Elysia Fu 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 Elysia Fu. Clarissa Elysia Fu 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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