Clarissa Elysia Fu

1.7k citations
20 papers · 415 indexed · 1 hit paper · h-index 12
Topics
Liver Disease Diagnosis and Treatment (16 papers)Liver Disease and Transplantation (7 papers)Diet, Metabolism, and Disease (6 papers)

In The Last Decade

Clarissa Elysia Fu

19 papers receiving 408 citations

Hit Papers

Patterns in Cancer Incidence Among People Younger Than 50...20232026202420252023255075

Peers

Clarissa Elysia Fu
Comparison fields: 5 of 68
  • Epidemiology 266
  • Hepatology 122
  • Endocrinology, Diabetes and Metabolism 107
  • Oncology 69
  • Pathology and Forensic Medicine 56
Replace Rebecca Wenling Zeng with:
Rebecca Wenling Zeng Singapore
Cameron T. Locklear United States
Kuan‐Chieh Fang Taiwan
Xian Yu United States
Jie‐Jun Hu China
Mona Lalehzari United States
Claudia Sanna Italy
Benjamin Nah Singapore
Rebecca Harris United Kingdom
Jen Jung Pan United States
Clarissa Elysia Fu relative to Rebecca Wenling Zeng Singapore Rebecca Wenling Zeng's profile →
Citations per field
00.5×1.5×
Rebecca Wenling Zeng · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 7
4 52
5 12
6 11
7 15
8 23
9
Patterns in Cancer Incidence Among People Younger Than 50 Years in the US, 2010 to 2019breakdown →
93
10 3
11 8
12 26
13 5
14 3
15 6
16 28
17 60
18 19
19 23
20 15

About Clarissa Elysia Fu

Clarissa Elysia Fu is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 415 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (7 papers) and Diet, Metabolism, and Disease (6 papers). The work is most often cited by research in Hepatology (122 citations), Epidemiology (266 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Clarissa Elysia Fu has collaborated with scholars based in Singapore, United States and Hong Kong. Frequent co-authors include Mark Muthiah, Cheng Han Ng, Darren Jun Hao Tan, Wen Hui Lim, Daniel Q. Huang, Kai En Chan, Rebecca Wenling Zeng, Jie Ning Yong, Nicholas Syn and Jieling Xiao. Their work appears in journals such as PLoS ONE, Hepatology and The American Journal of Cardiology.

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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