Lifeng Fu

2.0k citations
38 papers · 1.1k · 1 hit paper · h-index 15

Impact in

Papers in

Lifeng Fu

36 papers receiving 1.1k citations

Hit Papers

Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease 2020 · 392 citations
3920+2+4Years since publication100200300

Peers

Lifeng Fu
Comparison fields: 5 of 115
  • Infectious Diseases 437
  • Computational Theory and Mathematics 283
  • Molecular Biology 447
  • Pharmacology 44
  • Animal Science and Zoology 51
Replace Pedro Henrique Monteiro Torres with:
Pedro Henrique Monteiro Torres Brazil
Desh Deepak Singh India
Jian Lei China
Lei Fu China
Syed Aun Muhammad Pakistan
Saeed Banawas Saudi Arabia
Qiaoshuai Lan China
Subhomoi Borkotoky India
Jin Xiong China
Shogo Misumi Japan
Lifeng Fu relative to Pedro Henrique Monteiro Torres Brazil Pedro Henrique Monteiro Torres's profile →
Citations per field
00.5×4.3×
Pedro Henrique Monteiro Torres · 1×
Citations per year

Countries citing papers authored by Lifeng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lifeng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lifeng Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lifeng Fu Line = papers co-authored together Lifeng Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease
Hit paper breakdown →
2020392
2 2016187
3 200578
4 202173
5 201934
6 201534
7 200729
8 201629
9 202125
10 202423
11 201623
12 200321
13 202118
14 202215
15 202215
16 201914
17 202213
18 200613
19 202112
20 201312

About Lifeng Fu

Lifeng Fu is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Computational Theory and Mathematics and Biomedical Engineering, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Computational Drug Discovery Methods (6 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Bone Tissue Engineering Materials (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (437 citations), Computational Theory and Mathematics (283 citations), Molecular Biology (447 citations), Pharmacology (44 citations) and Animal Science and Zoology (51 citations). Lifeng Fu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jianxun Qi, George F. Gao, Yi Shi, Xuebing Li, Yan Wu, Gary Wong, Hao Song, Weili Kong, Quan‐Hong Yao and Zhenjun Li. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Journal of Virology, Journal of Medicinal Chemistry, Drug Delivery and Molecular Genetics and Genomics.

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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