Zhao-Di Fu

513 citations
21 papers · 416 indexed · h-index 11
Topics
Bioactive Compounds and Antitumor Agents (5 papers)Cancer therapeutics and mechanisms (4 papers)Synthesis and biological activity (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Zhao-Di Fu

20 papers receiving 406 citations

Peers

Zhao-Di Fu
Comparison fields: 5 of 88
  • Molecular Biology 234
  • Spectroscopy 96
  • Geriatrics and Gerontology 40
  • Physiology 36
  • Oncology 32
Replace Chaitanya A. Kulkarni with:
Chaitanya A. Kulkarni United States
Shuhei Yamada Japan
Mohammed Riyazuddin India
Carlos A. Velázquez‐Martínez Canada
Jingyi Xu China
Elvira Ventura-Spagnolo Italy
Soo Youn Chung South Korea
Damian Brauze Poland
Peter K. Tothy United States
Zhao-Di Fu relative to Chaitanya A. Kulkarni United States Chaitanya A. Kulkarni's profile →
Citations per field
00.5×7.4×
Chaitanya A. Kulkarni · 1×
Citations per year

Countries citing papers authored by Zhao-Di Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhao-Di Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao-Di Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao-Di Fu. A scholar is included among the top collaborators of Zhao-Di 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 Zhao-Di Fu. Zhao-Di 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
#WorkIndexed citations
1 5
2 4
3 39
4 14
5 29
6 23
7 27
8
[N-acetyl-L-cysteine reduces the ozone-induced lung inflammation response in mice].
7
9 4
10 118
11
[Experimental study on antitumor effects of Shen Qi Jin Kang (SQJK)].
1
12 15
13
Synthesis and antitumor activity of A-ring modified hexacyclic analogues of camptothecin.
1
14 72
15 18
16
[Chemopreventive effect of resveratrol to cancer].
13
17
[Experimental studies on the apoptosis of HL-60 cells induced by Brucea javanica oil emulsion].
9
18 15
19
[Anti-mutagenicity activity of dehydroepiandrosterone].
1
20 0

About Zhao-Di Fu

Zhao-Di Fu is a scholar working on Toxicology, Geriatrics and Gerontology and Sensory Systems, having authored 21 papers that have together received 416 indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (5 papers), Cancer therapeutics and mechanisms (4 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Geriatrics and Gerontology (40 citations), Toxicology (23 citations) and Sensory Systems (32 citations). Zhao-Di Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yu Cao, Fang Wang, Rui Han, Hongyan Liu, Hongyan Liu, Lifen Zhou, Yi Chen, Zeper Abliz, Haining Lv and Tao Gong. Their work appears in journals such as Analytical Chemistry, Experimental Cell Research and American Journal of Physiology-Cell Physiology.

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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