Lei Fu

1.2k total citations · 1 hit paper
13 papers, 870 citations indexed

About

Lei Fu is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Lei Fu has authored 13 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Lei Fu's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Lei Fu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Lei Fu collaborates with scholars based in China. Lei Fu's co-authors include Haozheng Cai, Quan Zhuang, Yongfang Jiang, Jing Ma, Limin Chen, Xin Ni, Shifang Peng, Jin Chai, Huiwen Wang and Shifang Peng and has published in prestigious journals such as Biochemical and Biophysical Research Communications, World Journal of Gastroenterology and BioMed Research International.

In The Last Decade

Lei Fu

13 papers receiving 857 citations

Hit Papers

Psychological impacts and coping strategies of front-line... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Lei Fu
Comparison fields: 5 of 98
  • Clinical Psychology 519
  • General Health Professions 353
  • Molecular Biology 145
  • Economics and Econometrics 132
  • Epidemiology 123
Replace Edgar Muñoz with:
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Deborah Greenberg United States
Kelly E. Anderson United States
Mohammed Alassiri Saudi Arabia
Haozheng Cai China
Elisa M. Rodriguez United States
Shaimaa Soliman Egypt
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Edgar Muñoz United States View profile →
Citations per field, relative to Lei Fu
Lei Fu · 1×
Citations per year, relative to Lei Fu
Lei Fu · 1×

Countries citing papers authored by Lei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Fu

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 133
2 2
3 12
4 14
5 20
6
Psychological impacts and coping strategies of front-line medical staff during COVID-19 outbreak in Hunan, China breakdown →
573
7 37
8 31
9 1
10 13
11 2
12 1
13 31

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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