Dandan Jin

470 citations
15 papers · 303 · h-index 8

Impact in

Papers in

    • Extracellular vesicles in disease 5
    • RNA Interference and Gene Delivery 3
    • RNA modifications and cancer 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 5
    • Cancer, Hypoxia, and Metabolism 2

Dandan Jin

13 papers receiving 300 citations

Peers

Dandan Jin
Comparison fields: 5 of 74
  • Cancer Research 103
  • Parasitology 42
  • Molecular Biology 192
  • Small Animals 12
  • Immunology 33
Replace Urszula Liwak with:
Urszula Liwak Canada
Fuqiang Huang China
Gregory S. Ray United States
Regina Reissmann Switzerland
Jennifer Y. Liu United States
Dan C. Nguyen United States
Taeyun A. Lee South Korea
Won Jung Kim South Korea
Yunliang Yao China
Jianhui Wang United States
Dandan Jin relative to Urszula Liwak Canada Urszula Liwak's profile →
Citations per field
00.5×
Urszula Liwak · 1×
Citations per year

Countries citing papers authored by Dandan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2022136
2 200863
3 202426
4 201818
5 202314
6 202013
7 20228
8 20227
9 20236
10 20206
11 20253
12 20252
13
[Inhibitory effects of emodin on proliferation of rat vascular smooth muscle cell induced by angiotensin II].
20081
14 20250
15 20250

About Dandan Jin

Dandan Jin is a scholar working on Molecular Biology, Cancer Research, Oncology, Nutrition and Dietetics and Neurology, having authored 15 papers that have together received 303 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (5 papers), RNA Interference and Gene Delivery (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Cancer Research (103 citations), Parasitology (42 citations), Molecular Biology (192 citations), Small Animals (12 citations) and Immunology (33 citations). Dandan Jin has collaborated with scholars based in China and United States. Frequent co-authors include Mingbing Xiao, Jie Ji, Baijun Bao, Shengze Zhu, Yue Wu, Mei Li, Yifei Ji, Dexter Sun, David M. Ojcius and Haiyan Dong. Their work appears in journals such as Genes & Diseases, Infection and Immunity, Frontiers in Cell and Developmental Biology, Cellular Oncology and Communications Biology.

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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