Dan‐ni Ren

478 citations
21 papers · 272 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • RNA modifications and cancer

Papers in

Dan‐ni Ren

19 papers receiving 269 citations

Peers

Dan‐ni Ren
Comparison fields: 5 of 65
  • Cancer Research 43
  • Molecular Biology 174
  • Complementary and alternative medicine 14
  • Oncology 45
  • Cardiology and Cardiovascular Medicine 31
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Yuxue Sun China
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Hari Priya Vemana United States
Weida Chen China
Yiming Shen China
Shuai Guo China
Roberto Bolli United States
Maoping Chu China
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Dan‐ni Ren relative to Yuxue Sun China Yuxue Sun's profile →
Citations per field
00.5×1.5×2.3×
Yuxue Sun · 1×
Citations per year

Countries citing papers authored by Dan‐ni Ren

Since Specialization
Citations

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

Fields of papers citing papers by Dan‐ni Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201431
3 201930
4 202324
5 201922
6 202318
7 202114
8 202411
9 20239
10 20238
11 20228
12 20208
13 20237
14 20217
15 20217
16 20225
17 20235
18 20252
19 20251
20 20250

About Dan‐ni Ren

Dan‐ni Ren is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 272 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Signaling Pathways in Disease (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (3 papers), NF-κB Signaling Pathways (3 papers), Peptidase Inhibition and Analysis (2 papers), Pancreatic function and diabetes (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Cancer Research (43 citations), Molecular Biology (174 citations), Complementary and alternative medicine (14 citations), Oncology (45 citations) and Cardiology and Cardiovascular Medicine (31 citations). Dan‐ni Ren has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Da Wo, Weidong Zhu, Jingxiao Chen, Hongwei Yan, Jun Peng, Jun Peng, Jianhua Yang, Yihan Chen, Shangfeng Liu and Yan Yin. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Cellular and Molecular Medicine, Clinical Cancer Research, Phytotherapy Research and FEBS Journal.

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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