Kai Huang
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- Circular RNAs in diseases
- RNA modifications and cancer
- Mitochondrial Function and Pathology
Papers in
-
- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 15
- Oncology 65
- PARP inhibition in cancer therapy 18
- Peptidase Inhibition and Analysis 15
- Co-authors
- Qiangsong TongLiduan ZhengDan HuangHong MeiHuajie SongFengxiao ZhangYang FengMinglu Liang
- Journals
- Cell Death and Disease (9 papers)Frontiers in Pharmacology (7 papers)Diabetes (6 papers)Biochemical and Biophysical Research Communications (6 papers)PLoS ONE (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Huang
366 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Cancer Research 2.5k
- Molecular Biology 5.2k
- Nephrology 444
- Oncology 1.3k
- Neurology 655
Countries citing papers authored by Kai Huang
This map shows the geographic impact of Kai Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Huang more than expected).
Fields of papers citing papers by Kai Huang
This network shows the impact of papers produced by Kai Huang. 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 Huang. The network helps show where Kai Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 11 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 31 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 65 | |
| 18 | 2018 | 79 | |
| 19 | 2013 | 85 | |
| 20 | 2012 | 134 |
About Kai Huang
Kai Huang is a scholar working on Cancer Research, Oncology, Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 395 papers that have together received 11.0k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (19 papers), PARP inhibition in cancer therapy (18 papers), Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers), Peptidase Inhibition and Analysis (15 papers), Advanced Battery Materials and Technologies (15 papers), Advancements in Battery Materials (15 papers) and Adipose Tissue and Metabolism (15 papers). The work is most often cited by research in Cancer Research (2.5k citations), Molecular Biology (5.2k citations), Nephrology (444 citations), Oncology (1.3k citations) and Neurology (655 citations). Kai Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qiangsong Tong, Liduan Zheng, Dan Huang, Hong Mei, Huajie Song, Fengxiao Zhang, Yang Feng, Minglu Liang, Xiaoxiang Mao and Yajun Chen. Their work appears in journals such as Cell Death and Disease, Frontiers in Pharmacology, Diabetes, Biochemical and Biophysical Research Communications and PLoS ONE.
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.