Kemin Wu

573 citations
20 papers · 473 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Extracellular vesicles in disease

Papers in

Kemin Wu

18 papers receiving 470 citations

Peers

Kemin Wu
Comparison fields: 5 of 68
  • Cancer Research 202
  • Molecular Biology 267
  • Geriatrics and Gerontology 8
  • Oncology 59
  • Pulmonary and Respiratory Medicine 60
Replace Shikai Zhu with:
Shikai Zhu China
Xiaojing Jia China
Xixian Ke China
Lin-ang Wang China
Xiuhua Kang China
Yue Shao China
Feifei Chen China
Conghuan Shen China
Yi Liao China
Antonino Belfiore Italy
Kemin Wu relative to Shikai Zhu China Shikai Zhu's profile →
Citations per field
00.5×10×
Shikai Zhu · 1×
Citations per year

Countries citing papers authored by Kemin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kemin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201390
2 201281
3 201265
4 201449
5 202242
6 201227
7 202425
8 201422
9 202121
10 201512
11 202210
12 202210
13 20237
14 20234
15 20233
16 20223
17 20251
18 20221
19 20250
20 20260

About Kemin Wu

Kemin Wu is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 20 papers that have together received 473 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (7 papers), MicroRNA in disease regulation (4 papers), Cancer Mechanisms and Therapy (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Immune cells in cancer (2 papers), Immune Response and Inflammation (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (202 citations), Molecular Biology (267 citations), Geriatrics and Gerontology (8 citations), Oncology (59 citations) and Pulmonary and Respiratory Medicine (60 citations). Kemin Wu has collaborated with scholars based in China and United States. Frequent co-authors include Weijia Sun, Peng Zhou, Jian Li, Yuxiang Chen, Guo‐Huang Hu, Zhiming Wang, Xin He, Wei Jiang, Yang Bai and Haiyang Zhou. Their work appears in journals such as Pathology & Oncology Research, Frontiers in Cardiovascular Medicine, Journal of Visualized Experiments, Annals of Vascular Surgery and The FASEB 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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