Kaili Fu

1.4k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Kaili Fu is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Kaili Fu has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Kaili Fu's work include Drug Transport and Resistance Mechanisms (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Kaili Fu is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Kaili Fu collaborates with scholars based in China, Hong Kong and United States. Kaili Fu's co-authors include Jun Yu, Xiang Zhang, Xiaoyong Yang, Harry Cheuk-Hay Lau, Eagle SH Chu, Olabisi Oluwabukola Coker, Yì Wáng, Joseph J.�Y. Sung, Anthony W.H. Chan and Hong Wei and has published in prestigious journals such as Hepatology, Gut and Journal of Hepatology.

In The Last Decade

Kaili Fu

14 papers receiving 1.1k citations

Hit Papers

Dietary cholesterol drives fatty liver-associated liver c... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Kaili Fu
Comparison fields: 5 of 93
  • Molecular Biology 573
  • Epidemiology 461
  • Physiology 182
  • Oncology 181
  • Surgery 145
Replace Elena Piccinin with:
Elena Piccinin Italy
Maximilian Hatting Germany
Eagle S.H. Chu Hong Kong
Keishi Kanno Japan
Rebekka A. Hannivoort Netherlands
Jiesi Xu United States
Tomoki Nakajima Japan
Xiaoqin Wu China
Patricia Aspichueta Spain
Elena Piccinin Italy View profile →
Citations per field, relative to Kaili Fu
Kaili Fu · 1×
Citations per year, relative to Kaili Fu
Kaili Fu · 1×

Countries citing papers authored by Kaili Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kaili Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaili Fu

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 2
2 17
3 8
4 21
5 21
6
Dietary cholesterol drives fatty liver-associated liver cancer by modulating gut microbiota and metabolites breakdown →
599
7 47
8 18
9 22
10 156
11 46
12 30
13 80
14 22

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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2026