Fen Du

699 citations
21 papers · 586 · h-index 12

Impact in

    • Toxoplasma gondii Research Studies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Toxoplasma gondii Research Studies 4

Fen Du

20 papers receiving 581 citations

Peers

Fen Du
Comparison fields: 5 of 85
  • Parasitology 75
  • Cancer Research 152
  • Immunology 119
  • Pharmacology 43
  • Virology 17
Replace Zhi Zhou with:
Zhi Zhou China
Rhonda Kimmel United States
Thomas J. Rea United States
Amélie Bigorgne France
Wei Gong China
Émilie Crouchet France
Linya Wang China
Shan‐Ying Wu Taiwan
Zeguang Wu China
Fen Du relative to Zhi Zhou China Zhi Zhou's profile →
Citations per field
00.5×2.8×
Zhi Zhou · 1×
Citations per year

Countries citing papers authored by Fen Du

Since Specialization
Citations

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

Fields of papers citing papers by Fen Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014176
2 201876
3 201169
4 201243
5 201340
6 201626
7 201524
8 201923
9 201519
10
A human apolipoprotein E mimetic peptide reduces atherosclerosis in aged apolipoprotein E null mice.
201617
11 201116
12 201315
13 202110
14 201810
15
Mechanical analysis of immediate roof in fully mechanized top coal caving mining with thin bedrock
20137
16 20217
17 20185
18
Measures for forest and grass vegetation construction in semi-acid areas on the Loess Plateau
20061
19 20251
20 20241

About Fen Du

Fen Du is a scholar working on Molecular Biology, Parasitology, Surgery, Epidemiology and Biochemistry, having authored 21 papers that have together received 586 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (4 papers), Paraoxonase enzyme and polymorphisms (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Immune cells in cancer (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Parasitology (75 citations), Cancer Research (152 citations), Immunology (119 citations), Pharmacology (43 citations) and Virology (17 citations). Fen Du has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daping Fan, Yvonne Hui, Yuzhen Wang, Fang Yu, Mingui Fu, Junlong Zhao, Kevin Carnevale, Hong Lü, Hong Yu and Rui Fang. Their work appears in journals such as Experimental Biology and Medicine, The FASEB Journal, PLoS ONE, Frontiers in Microbiology and Journal of Lipid 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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