Dan Ru

455 citations
8 papers · 359 · 1 hit paper · h-index 5

Impact in

Papers in

Dan Ru

7 papers receiving 356 citations

Dan Ru's Hit Papers

Exosome-liposome hybrid nanoparticle codelivery of TP and miR497 conspicuously overcomes chemoresistant ovarian cancer 2022 · 157 citations
1570+1+2Years since publication50100150

Peers

Dan Ru
Comparison fields: 5 of 60
  • Cancer Research 125
  • Biomaterials 86
  • Complementary and alternative medicine 36
  • Molecular Biology 273
  • Biomedical Engineering 94
Replace S. Neslihan Alpay with:
S. Neslihan Alpay United States
Xiaolin Fang China
Maryam Heidarifard Iran
Vahideh Zarrin Iran
Farzad Nasri Iran
Prameswari Kasa India
Vidhi M. Shah United States
Pouria Khani Iran
Hamidreza Saebfar Iran
Yi‐An Cheng Taiwan
Dan Ru relative to S. Neslihan Alpay United States S. Neslihan Alpay's profile →
Citations per field
00.5×3.9×
S. Neslihan Alpay · 1×
Citations per year

Countries citing papers authored by Dan Ru

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Exosome-liposome hybrid nanoparticle codelivery of TP and miR497 conspicuously overcomes chemoresistant ovarian cancer
Hit paper breakdown →
2022157
2 201998
3 201963
4 201825
5 201714
6 20251
7 20251
8 20250

About Dan Ru

Dan Ru is a scholar working on Molecular Biology, Biomaterials, Complementary and alternative medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 359 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Natural Compounds in Disease Treatment (4 papers), Ferroptosis and cancer prognosis (2 papers), MicroRNA in disease regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Extracellular vesicles in disease (2 papers), Nanoplatforms for cancer theranostics (1 paper) and Flavonoids in Medical Research (1 paper). The work is most often cited by research in Cancer Research (125 citations), Biomaterials (86 citations), Complementary and alternative medicine (36 citations), Molecular Biology (273 citations) and Biomedical Engineering (94 citations). Dan Ru has collaborated with scholars based in China and Australia. Frequent co-authors include Yourong Duan, Ming Shen, Qianqian Guo, Ke Gong, Di He, Li He, Fangfang Liu, Liting Wang, Dewei Zhao and He Li. Their work appears in journals such as Journal of Biomedical Nanotechnology, Theranostics, Scientific Reports, The American Journal of Chinese Medicine and BioMed Research International.

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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