Hsu‐Feng Lu

1.4k citations
55 papers · 1.2k · h-index 20

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 4
    • Cell death mechanisms and regulation 4
    • Natural product bioactivities and synthesis 3
    • Retinoids in leukemia and cellular processes 3
    • Infections and bacterial resistance 9

Hsu‐Feng Lu

54 papers receiving 1.1k citations

Peers

Hsu‐Feng Lu
Comparison fields: 5 of 109
  • Biochemistry 121
  • Molecular Medicine 82
  • Toxicology 54
  • Pharmacology 96
  • Cancer Research 153
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Partha Biswas Bangladesh
Songze Ding China
So Young Kim South Korea
Neetu Kalra India
Manzar Alam India
Un‐Ho Jin South Korea
Emanuela Martino Italy
Dipta Dey Bangladesh
Md Sohel Bangladesh
Ajay Bommareddy United States
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Citations per field
00.5×10×20×27.3×
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Citations per year

Countries citing papers authored by Hsu‐Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsu‐Feng Lu. 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 Hsu‐Feng Lu. The network helps show where Hsu‐Feng Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsu‐Feng Lu, 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 Hsu‐Feng Lu Line = papers co-authored together Hsu‐Feng Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010141
2 2011108
3 201197
4 201881
5 201274
6 201254
7 200051
8 201739
9 200632
10 199931
11 201030
12 201630
13 201924
14 201823
15 201623
16 201522
17 201920
18 199919
19 202419
20 201519

About Hsu‐Feng Lu

Hsu‐Feng Lu is a scholar working on Molecular Biology, Endocrinology, Immunology, Molecular Medicine and Epidemiology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Infections and bacterial resistance (9 papers), Bacterial biofilms and quorum sensing (4 papers), Immune Cell Function and Interaction (4 papers), Cell death mechanisms and regulation (4 papers), Curcumin's Biomedical Applications (4 papers), Natural product bioactivities and synthesis (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Biochemistry (121 citations), Molecular Medicine (82 citations), Toxicology (54 citations), Pharmacology (96 citations) and Cancer Research (153 citations). Hsu‐Feng Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jing‐Gung Chung, Jai‐Sing Yang, Hung‐Sheng Shang, Po‐Yuan Chen, Yung‐Luen Shih, Chia‐Yu Ma, Rick Sai‐Chuen Wu, Wenwen Huang, Ming‐Jen Fan and Jen‐Jyh Lin. Their work appears in journals such as Environmental Toxicology, BMC Microbiology, Microbiology Spectrum, Food and Chemical Toxicology and Molecular Nutrition & Food Research.

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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