Kaidi Ren

1.4k citations
43 papers · 940 indexed · 1 hit paper · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
  • Neurology top 10%

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 5
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Kaidi Ren

39 papers receiving 930 citations

Hit Papers

Quercetin Ameliorates Diabetic Kidney Injury by Inhibiting Ferroptosis via Activating Nrf2/HO-1 Signaling Pathway 2023 · 108 citations
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Peers

Kaidi Ren
Comparison fields: 5 of 104
  • Cancer Research 228
  • Neurology 75
  • Molecular Biology 513
  • Pulmonary and Respiratory Medicine 225
  • Aging 11
Replace Hsiao‐Ya Tsai with:
Hsiao‐Ya Tsai Taiwan
Nian‐Sheng Li China
Cody J. Schmidlin United States
Mingzhi Shen China
Qun Li China
Yong‐Bo Tang China
Lina Zhao China
Hiroe Toba Japan
Jing Zong China
Giou-Teng Yiang Taiwan
Kaidi Ren relative to Hsiao‐Ya Tsai Taiwan Hsiao‐Ya Tsai's profile →
Citations per field
00.5×9.8×
Hsiao‐Ya Tsai · 1×
Citations per year

Countries citing papers authored by Kaidi Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kaidi Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20244
5 20246
6 20246
7 202327
8 202311
9 202327
10 202321
11 20235
12 20235
13 202340
14 202315
15 202218
16 202282
17 202221
18 202215
19 202155
20 201659

About Kaidi Ren

Kaidi Ren is a scholar working on Neurology, Cancer Research, Molecular Biology, Biological Psychiatry and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 940 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Ferroptosis and cancer prognosis (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Autophagy in Disease and Therapy (5 papers), MicroRNA in disease regulation (4 papers), Trace Elements in Health (4 papers), interferon and immune responses (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (228 citations), Neurology (75 citations), Molecular Biology (513 citations), Pulmonary and Respiratory Medicine (225 citations) and Aging (11 citations). Kaidi Ren has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yang Yang, Xiu‐Ju Luo, Yi Luan, Ying Luan, Shaokang Pan, Jun Peng, Qi Feng, Jie Yang, Xiaoyue Yu and Xing Chen. Their work appears in journals such as Frontiers in Pharmacology, International Immunopharmacology, Oxidative Medicine and Cellular Longevity, Cell Death Discovery and Burns & Trauma.

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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