Dan Zi

534 citations
34 papers · 326 indexed · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery

Papers in

Dan Zi

32 papers receiving 324 citations

Peers

Dan Zi
Comparison fields: 5 of 75
  • Cancer Research 90
  • Molecular Biology 197
  • Reproductive Medicine 22
  • Immunology 49
  • Geriatrics and Gerontology 8
Replace Veronika Borutinskaitė with:
Veronika Borutinskaitė Lithuania
Huiqing Liu China
Jiaxin Peng China
Lihong Li China
Panpan Cen China
Zhiqiang Guan China
Ruipu Sun China
Justyna Zińczuk Poland
Lingling Xie China
Dan Zi relative to Veronika Borutinskaitė Lithuania Veronika Borutinskaitė's profile →
Citations per field
00.5×2.8×
Veronika Borutinskaitė · 1×
Citations per year

Countries citing papers authored by Dan Zi

Since Specialization
Citations

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

Fields of papers citing papers by Dan Zi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202370
2 201546
3 202144
4 202418
5 202215
6 202314
7
Novel apoE receptor mimetics reduce LPS-induced microglial inflammation.
201914
8 202113
9 202213
10
A SILAC-based proteomics elicits the molecular interactome of alisertib (MLN8237) in human erythroleukemia K562 cells.
20158
11 20238
12 20198
13 20227
14 20185
15 20244
16 20234
17 20174
18 20154
19 20234
20 20243

About Dan Zi

Dan Zi is a scholar working on Molecular Biology, Oncology, Surgery, Obstetrics and Gynecology and Physiology, having authored 34 papers that have together received 326 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Reproductive Biology and Fertility (5 papers), Minimally Invasive Surgical Techniques (4 papers), Cervical Cancer and HPV Research (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Reproductive System and Pregnancy (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Cancer Research (90 citations), Molecular Biology (197 citations), Reproductive Medicine (22 citations), Immunology (49 citations) and Geriatrics and Gerontology (8 citations). Dan Zi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhi-Wei Zhou, Lin Huang, Zhi-Xu He, Shu-Feng Zhou, Xing Zhao, Qing Li, Darrell Sawmiller, Yuxin Yang, Weiwei Ouyang and Yingchun Zhang. Their work appears in journals such as Scientific Reports, Journal of Minimally Invasive Gynecology, Frontiers in Immunology, EMBO Molecular Medicine and International Journal of Biological Sciences.

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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