Kai En Chan

3.3k citations
46 papers · 1.1k indexed · 2 hit papers · h-index 16
Topics
Liver Disease Diagnosis and Treatment (29 papers)Diet, Metabolism, and Disease (12 papers)Liver Disease and Transplantation (9 papers)

In The Last Decade

Kai En Chan

43 papers receiving 1.1k citations

Hit Papers

Global incidence and prevalence of nonalcoholic fatty liv...202220262023202420222022100200300

Peers

Kai En Chan
Comparison fields: 5 of 94
  • Epidemiology 843
  • Endocrinology, Diabetes and Metabolism 422
  • Hepatology 343
  • Molecular Biology 156
  • Physiology 150
Replace Jian-Gao Fan with:
Jian-Gao Fan China
Jie Ning Yong Singapore
Rochelle Collantes United States
Shireene Ratna Vethakkan Malaysia
Sherry Boyett United States
Nancy Solı́s Chile
Ansel Shao Pin Tang Singapore
Dante Romagnoli Italy
Puneet Puri United States
Kent R. Wehmeier United States
Kai En Chan relative to Jian-Gao Fan China Jian-Gao Fan's profile →
Citations per field
00.5×5.2×
Jian-Gao Fan · 1×
Citations per year

Countries citing papers authored by Kai En Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kai En Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai En Chan. 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 Kai En Chan. The network helps show where Kai En Chan may publish in the future.

Co-authorship network of co-authors of Kai En Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kai En Chan. A scholar is included among the top collaborators of Kai En Chan 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 Kai En Chan. Kai En Chan 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 12
3 6
4 7
5 13
6 52
7 3
8 2
9 49
10 15
11 11
12 16
13 5
14 4
15 0
16 5
17 26
18 55
19 5
20 3

About Kai En Chan

Kai En Chan is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (29 papers), Diet, Metabolism, and Disease (12 papers) and Liver Disease and Transplantation (9 papers). The work is most often cited by research in Hepatology (343 citations), Endocrinology, Diabetes and Metabolism (422 citations) and Epidemiology (843 citations). Kai En Chan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Mark Muthiah, Cheng Han Ng, Wen Hui Lim, Daniel Q. Huang, Eunice Xiang Xuan Tan, Margaret LP Teng, Ju Dong Yang, Nicholas Chew, Darren Jun Hao Tan and Mazen Noureddin. Their work appears in journals such as PLoS ONE, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

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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