Yiming Fu

515 total citations
34 papers, 338 citations indexed

About

Yiming Fu is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Yiming Fu has authored 34 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Molecular Biology and 8 papers in Hepatology. Recurrent topics in Yiming Fu's work include Liver Disease Diagnosis and Treatment (10 papers), Liver Diseases and Immunity (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Yiming Fu is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Liver Diseases and Immunity (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Yiming Fu collaborates with scholars based in China, Netherlands and Japan. Yiming Fu's co-authors include Shixue Dai, Zili Lin, Zhaoze Guo, Guozhu Xie, Han Zhang, Jie Lin, Bei Zhao, Lanfang Zhang, Junjie Kuang and Dehua Wu and has published in prestigious journals such as International Journal of Molecular Sciences, Small and Journal of Hepatology.

In The Last Decade

Yiming Fu

30 papers receiving 332 citations

Peers

Yiming Fu
Comparison fields: 5 of 73
  • Molecular Biology 138
  • Epidemiology 66
  • Oncology 65
  • Hepatology 45
  • Cancer Research 37
Replace Ahmed Gaafar Ahmed Gaafar with:
Ahmed Gaafar Ahmed Gaafar Egypt
Biyun Zheng China
Ji‐Chao Zhou China
Terry Van Vleet United States
Reham Hassan Egypt
Sheng‐Mao Wu Taiwan
Baokun He China
S.H. Madsen Denmark
Guowen Yin China
Hye Sook Hwang South Korea
Ahmed Gaafar Ahmed Gaafar Egypt View profile →
Citations per field, relative to Yiming Fu
Yiming Fu · 1×
Citations per year, relative to Yiming Fu
Yiming Fu · 1×

Countries citing papers authored by Yiming Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Fu. A scholar is included among the top collaborators of Yiming 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 Yiming Fu. Yiming 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
# Work Indexed citations
1 2
2 1
3 0
4 10
5 0
6 1
7 1
8 1
9 2
10 5
11 16
12 4
13 3
14 10
15 1
16 69
17 0
18 36
19 7
20
[The relationship between insulin resistance and abnormalities of cellular calcium metabolism and cell membrane abnormalities in patients with essential hypertension].
2

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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