Xiaoli Yang
Impact in
- Nutrition and Dietetics top 5%
- Trace Elements in Health
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
- Metal complexes synthesis and properties
Papers in
-
- Natural product bioactivities and synthesis 2
- Cell death mechanisms and regulation 2
- Advanced biosensing and bioanalysis techniques 1
-
- Trace Elements in Health 4
- Co-authors
- Naoyuki Miura (6 shared papers)Toshihiro Sugiyama (5 shared papers)Kunihiko Terada (3 shared papers)Masanobu Komatsu (1 shared paper)Tomoyuki Sumizawa (1 shared paper)S Akiyama (1 shared paper)Tatsuhiko Furukawa (1 shared paper)Zhe‐Sheng Chen (1 shared paper)
In The Last Decade
Xiaoli Yang
16 papers receiving 742 citations
Peers
Comparison fields: 5 of 92
- Nutrition and Dietetics 318
- Oncology 296
- Health, Toxicology and Mutagenesis 142
- Hematology 80
- Molecular Biology 260
Countries citing papers authored by Xiaoli Yang
This map shows the geographic impact of Xiaoli Yang'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 Xiaoli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Yang more than expected).
Fields of papers citing papers by Xiaoli Yang
This network shows the impact of papers produced by Xiaoli Yang. 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 Xiaoli Yang. The network helps show where Xiaoli Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Yang, 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 | Copper-transporting P-type adenosine triphosphatase (ATP7B) is associated with cisplatin resistance. | 2000 | 280 |
| 2 | 1998 | 135 | |
| 3 | 1999 | 69 | |
| 4 | 2019 | 39 | |
| 5 | 2019 | 33 | |
| 6 | 2018 | 32 | |
| 7 | 2000 | 28 | |
| 8 | 1997 | 27 | |
| 9 | 2020 | 21 | |
| 10 | 2012 | 20 | |
| 11 | 2008 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 10 | |
| 15 | 2001 | 6 | |
| 16 | 2024 | 4 |
About Xiaoli Yang
Xiaoli Yang is a scholar working on Molecular Biology, Nutrition and Dietetics, Cancer Research, Health, Toxicology and Mutagenesis and Oncology, having authored 16 papers that have together received 754 indexed citations. Recurring topics across this work include Trace Elements in Health (4 papers), Natural product bioactivities and synthesis (2 papers), Cancer-related molecular mechanisms research (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Cell death mechanisms and regulation (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Nutrition and Dietetics (318 citations), Oncology (296 citations), Health, Toxicology and Mutagenesis (142 citations), Hematology (80 citations) and Molecular Biology (260 citations). Xiaoli Yang has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Naoyuki Miura, Toshihiro Sugiyama, Kunihiko Terada, Masanobu Komatsu, Tomoyuki Sumizawa, S Akiyama, Tatsuhiko Furukawa, Zhe‐Sheng Chen, Masato Mutoh and Masatake Iida. Their work appears in journals such as Journal of Cellular Biochemistry, Chemical Communications, International Journal of Biological Macromolecules, FEBS Letters and Hepatology.
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.