Naidi Yang
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Geriatrics and Gerontology top 5%
Papers in
-
- Advanced biosensing and bioanalysis techniques 11
- Epidemiology 11
- Autophagy in Disease and Therapy 11
- Co-authors
- Han‐Ming Shen (9 shared papers)Jing Zhou (4 shared papers)Lin Li (25 shared papers)Shi-Hao Tan (3 shared papers)Jianbin Zhang (4 shared papers)Wei Huang (11 shared papers)Hang Zhang (5 shared papers)Shao Q. Yao (5 shared papers)
- Journals
- Dyes and Pigments (3 papers)Chinese Chemical Letters (3 papers)ChemBioChem (2 papers)Chemical Communications (2 papers)Autophagy (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Naidi Yang
42 papers receiving 2.2k citations
Naidi Yang's Hit Papers
Peers
Comparison fields: 5 of 119
- Physiology 170
- Geriatrics and Gerontology 53
- Epidemiology 515
- Molecular Biology 855
- Biochemistry 86
Countries citing papers authored by Naidi Yang
This map shows the geographic impact of Naidi 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 Naidi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naidi Yang more than expected).
Fields of papers citing papers by Naidi Yang
This network shows the impact of papers produced by Naidi 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 Naidi Yang. The network helps show where Naidi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Naidi 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mito‐Bomb: Targeting Mitochondria for Cancer Therapy Hit paper breakdown → | 2021 | 372 |
| 2 | Activation of lysosomal function in the course of autophagy via mTORC1 suppression and autophagosome-lysosome fusion Hit paper breakdown → | 2013 | 341 |
| 3 | Targeting the Endocytic Pathway and Autophagy Process as a Novel Therapeutic Strategy in COVID-19 Hit paper breakdown → | 2020 | 325 |
| 4 | 2015 | 161 | |
| 5 | 2014 | 150 | |
| 6 | 2019 | 96 | |
| 7 | 2012 | 87 | |
| 8 | 2020 | 82 | |
| 9 | 2019 | 53 | |
| 10 | 2019 | 50 | |
| 11 | 2020 | 47 | |
| 12 | 2022 | 40 | |
| 13 | 2022 | 30 | |
| 14 | 2020 | 28 | |
| 15 | 2020 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2021 | 24 | |
| 19 | 2021 | 22 | |
| 20 | 1971 | 21 |
About Naidi Yang
Naidi Yang is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Materials Chemistry and Cell Biology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Advanced biosensing and bioanalysis techniques (11 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced Nanomaterials in Catalysis (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Molecular Sensors and Ion Detection (4 papers), Cellular transport and secretion (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Physiology (170 citations), Geriatrics and Gerontology (53 citations), Epidemiology (515 citations), Molecular Biology (855 citations) and Biochemistry (86 citations). Naidi Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Han‐Ming Shen, Jing Zhou, Lin Li, Shi-Hao Tan, Jianbin Zhang, Wei Huang, Hang Zhang, Shao Q. Yao, Wenhui Ji and Xiaolu Guo. Their work appears in journals such as Dyes and Pigments, Chinese Chemical Letters, ChemBioChem, Chemical Communications and Autophagy.
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.