Ai‐Wu Ke

10.4k citations
93 papers · 5.9k indexed · 3 hit papers · h-index 41

Impact in

Papers in

Ai‐Wu Ke

90 papers receiving 5.9k citations

Hit Papers

Current applications and future perspective of CRISPR/Cas9 gene editing in cancer 2022 · 292 citations
2922020202620222024100200300400

Peers

Ai‐Wu Ke
Comparison fields: 5 of 114
  • Cancer Research 2.2k
  • Hepatology 563
  • Molecular Biology 3.7k
  • Oncology 1.4k
  • Immunology 950
Replace Zhen‐Bin Ding with:
Zhen‐Bin Ding China
Zhi Dai China
Wei‐Zhong Wu China
Sug Hyung Lee South Korea
Qiongzhu Dong China
Jing‐Ping Yun China
Jung Young Lee South Korea
Yunfei Yuan China
Hu‐Liang Jia China
Aldo M. Roccaro United States
Ai‐Wu Ke relative to Zhen‐Bin Ding China Zhen‐Bin Ding's profile →
Citations per field
00.5×1.5×2.0×
Zhen‐Bin Ding · 1×
Citations per year

Countries citing papers authored by Ai‐Wu Ke

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Wu Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20243
5 202354
6 20239
7 202314
8
Current applications and future perspective of CRISPR/Cas9 gene editing in cancer
Hit paper breakdown →
2022292
9 2020178
10 201945
11 201846
12 201724
13 201542
14 2013182
15 201355
16 201235
17 2011122
18 2011155
19 2008236
20 2008184

About Ai‐Wu Ke

Ai‐Wu Ke is a scholar working on Cancer Research, Oncology, Immunology, Pathology and Forensic Medicine and Hepatology, having authored 93 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers), Cancer Mechanisms and Therapy (14 papers), MicroRNA in disease regulation (11 papers), RNA modifications and cancer (11 papers), Peptidase Inhibition and Analysis (10 papers), Circular RNAs in diseases (10 papers), Ferroptosis and cancer prognosis (9 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Cancer Research (2.2k citations), Hepatology (563 citations), Molecular Biology (3.7k citations), Oncology (1.4k citations) and Immunology (950 citations). Ai‐Wu Ke has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Jia Fan, Guo‐Ming Shi, Xiaoyong Huang, Zhen‐Bin Ding, Jiabin Cai, Jian Zhou, Jia‐Cheng Lu, Pengfei Zhang, Chao Gao and Ying‐Hong Shi. Their work appears in journals such as Hepatology, PLoS ONE, Molecular Cancer, Clinical Cancer Research and Cell Death and Disease.

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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