Naidi Yang
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 5%
- Autophagy in Disease and Therapy
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)Shi-Hao Tan (3 shared papers)Lin Li (25 shared papers)Jianbin Zhang (4 shared papers)Wei Huang (11 shared papers)Hang Zhang (5 shared papers)Shao Q. Yao (5 shared papers)
- Journals
- Chinese Chemical Letters (3 papers)Dyes and Pigments (3 papers)Autophagy (2 papers)Chemical Communications (2 papers)Analytica Chimica Acta (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Naidi Yang
42 papers receiving 2.1k citations
Naidi Yang's Hit Papers
Peers
Comparison fields: 5 of 120
- Physiology 173
- Epidemiology 551
- Geriatrics and Gerontology 56
- Molecular Biology 892
- Infectious Diseases 221
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 43 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 | 352 |
| 2 | Activation of lysosomal function in the course of autophagy via mTORC1 suppression and autophagosome-lysosome fusion Hit paper breakdown → | 2013 | 338 |
| 3 | Targeting the Endocytic Pathway and Autophagy Process as a Novel Therapeutic Strategy in COVID-19 Hit paper breakdown → | 2020 | 325 |
| 4 | 2015 | 158 | |
| 5 | 2014 | 146 | |
| 6 | 2019 | 93 | |
| 7 | 2012 | 86 | |
| 8 | 2020 | 79 | |
| 9 | 2019 | 52 | |
| 10 | 2019 | 47 | |
| 11 | 2020 | 46 | |
| 12 | 2022 | 39 | |
| 13 | 2022 | 30 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2021 | 23 | |
| 19 | 2021 | 21 | |
| 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 43 papers that have together received 2.1k 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), Biosensors and Analytical Detection (4 papers), Molecular Sensors and Ion Detection (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Physiology (173 citations), Epidemiology (551 citations), Geriatrics and Gerontology (56 citations), Molecular Biology (892 citations) and Infectious Diseases (221 citations). Naidi Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Han‐Ming Shen, Jing Zhou, Shi-Hao Tan, Lin Li, Jianbin Zhang, Wei Huang, Hang Zhang, Shao Q. Yao, Wenhui Ji and Xiaolu Guo. Their work appears in journals such as Chinese Chemical Letters, Dyes and Pigments, Autophagy, Chemical Communications and Analytica Chimica Acta.
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.