Dan Zi

576 citations
34 papers · 356 · h-index 9

Impact in

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

Papers in

    • Ubiquitin and proteasome pathways 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Cancer-related Molecular Pathways 2

Dan Zi

33 papers receiving 354 citations

Peers

Dan Zi
Comparison fields: 5 of 75
  • Cancer Research 83
  • Molecular Biology 194
  • Geriatrics and Gerontology 8
  • Immunology 48
  • Reproductive Medicine 17
Replace Mehdi Allahbakhshian Farsani with:
Mehdi Allahbakhshian Farsani Iran
Ruipu Sun China
Panpan Cen China
Jung-Hoon Kim South Korea
Mengjing Fan China
Golnaz Goodarzi Iran
Zhang Yj China
Veronika Borutinskaitė Lithuania
Vahid Hosseini Iran
Jinxing Liu China
Dan Zi relative to Mehdi Allahbakhshian Farsani Iran Mehdi Allahbakhshian Farsani's profile →
Citations per field
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Mehdi Allahbakhshian Farsani · 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 202376
2 201546
3 202146
4 202422
5 202317
6 202216
7
Novel apoE receptor mimetics reduce LPS-induced microglial inflammation.
201914
8 202214
9 202113
10 20228
11 20198
12 20238
13
A SILAC-based proteomics elicits the molecular interactome of alisertib (MLN8237) in human erythroleukemia K562 cells.
20158
14 20247
15 20185
16 20235
17 20244
18 20244
19 20154
20 20174

About Dan Zi

Dan Zi is a scholar working on Molecular Biology, Oncology, Physiology, Surgery and Cancer Research, having authored 34 papers that have together received 356 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Cervical Cancer and HPV Research (4 papers), Minimally Invasive Surgical Techniques (4 papers), Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (83 citations), Molecular Biology (194 citations), Geriatrics and Gerontology (8 citations), Immunology (48 citations) and Reproductive Medicine (17 citations). Dan Zi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Huang, Zhi-Wei Zhou, Zhi-Xu He, Xing Zhao, Shu-Feng Zhou, Qing Li, Yuanmei Wang, Shunan Wang, Yuxin Yang and Shengjie Liu. Their work appears in journals such as Journal of Minimally Invasive Gynecology, Scientific Reports, NeuroMolecular Medicine, Molecular Psychiatry and Epigenetics.

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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