Xin Ku
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Organic Chemistry top 10%
- Synthesis and biological activity
- Sulfur-Based Synthesis Techniques
- Chemical Synthesis and Reactions
- Synthesis and Characterization of Heterocyclic Compounds
Papers in
-
- S100 Proteins and Annexins 2
- RNA modifications and cancer 2
- Cancer therapeutics and mechanisms 2
-
- Advanced Proteomics Techniques and Applications 5
- Co-authors
- Hualiang Jiang (2 shared papers)He Huang (2 shared papers)Honglin Li (2 shared papers)Hong Liu (2 shared papers)Daqi Gao (1 shared paper)Jiayu Gong (1 shared paper)Wei Yan (14 shared papers)Linghua Meng (1 shared paper)
In The Last Decade
Xin Ku
24 papers receiving 718 citations
Peers
Comparison fields: 5 of 85
- Toxicology 47
- Organic Chemistry 262
- Computational Theory and Mathematics 120
- Molecular Biology 409
- Oncology 144
Countries citing papers authored by Xin Ku
This map shows the geographic impact of Xin Ku'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 Xin Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ku more than expected).
Fields of papers citing papers by Xin Ku
This network shows the impact of papers produced by Xin Ku. 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 Xin Ku. The network helps show where Xin Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Ku, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 175 | |
| 2 | 2013 | 170 | |
| 3 | 2015 | 87 | |
| 4 | 2009 | 68 | |
| 5 | 2013 | 55 | |
| 6 | 2018 | 32 | |
| 7 | 2014 | 19 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2013 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2023 | 3 |
About Xin Ku
Xin Ku is a scholar working on Molecular Biology, Spectroscopy, Oncology, Organic Chemistry and Neurology, having authored 25 papers that have together received 722 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Myasthenia Gravis and Thymoma (3 papers), HER2/EGFR in Cancer Research (2 papers), S100 Proteins and Annexins (2 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA modifications and cancer (2 papers), Computational Drug Discovery Methods (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Toxicology (47 citations), Organic Chemistry (262 citations), Computational Theory and Mathematics (120 citations), Molecular Biology (409 citations) and Oncology (144 citations). Xin Ku has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Hualiang Jiang, He Huang, Honglin Li, Hong Liu, Daqi Gao, Jiayu Gong, Wei Yan, Linghua Meng, Ming Li and Cai-hua Zhu. Their work appears in journals such as Journal of Proteome Research, Biochimica et Biophysica Acta (BBA) - General Subjects, Journal of Medicinal Chemistry, Molecular Oncology and Molecular & Cellular Proteomics.
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.