Kai Hu

1.1k citations
53 papers · 794 · h-index 17

Impact in

Papers in

    • RNA modifications and cancer 6
    • Circular RNAs in diseases 4
    • Cancer-related gene regulation 4
    • Cancer-related molecular mechanisms research 11
    • MicroRNA in disease regulation 7

Kai Hu

50 papers receiving 787 citations

Peers

Kai Hu
Comparison fields: 5 of 82
  • Otorhinolaryngology 185
  • Cancer Research 244
  • Reproductive Medicine 62
  • Oncology 196
  • Pulmonary and Respiratory Medicine 197
Replace Florian Weber with:
Florian Weber Germany
Hugo Prazeres Portugal
Amir Khan Pakistan
Emile Youssef United States
Zhiheng Liang China
Mu-Kuan Chen Taiwan
Junki Sakata Japan
Jordi Rubió‐Casadevall Spain
Pingzhang Tang China
Kai Hu relative to Florian Weber Germany Florian Weber's profile →
Citations per field
00.5×3.0×
Florian Weber · 1×
Citations per year

Countries citing papers authored by Kai Hu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014110
2 202272
3 201245
4 202143
5 201635
6 201535
7
Comparison between nedaplatin and cisplatin plus docetaxel combined with intensity-modulated radiotherapy for locoregionally advanced nasopharyngeal carcinoma: a multicenter randomized phase II clinical trial.
201629
8 200928
9 202227
10 201824
11 201923
12 202022
13 202021
14 202421
15 200921
16 202119
17 202217
18 202016
19 202216
20 202115

About Kai Hu

Kai Hu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Otorhinolaryngology, having authored 53 papers that have together received 794 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), Head and Neck Cancer Studies (9 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (6 papers), Effects of Radiation Exposure (5 papers), Cancer Cells and Metastasis (4 papers), Circular RNAs in diseases (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Otorhinolaryngology (185 citations), Cancer Research (244 citations), Reproductive Medicine (62 citations), Oncology (196 citations) and Pulmonary and Respiratory Medicine (197 citations). Kai Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rensheng Wang, Fang Wu, Yong Zhang, Meilian Liu, Jinxian Zhu, Guisheng Li, Haolin Yan, Guosheng Feng, Weimei Huang and Zhixun Li. Their work appears in journals such as Frontiers in Oncology, FEBS Open Bio, Dose-Response, Biosensors and Bioelectronics and Journal of Clinical Oncology.

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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