Shuling Song
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Oncology 9
- Cancer-related Molecular Pathways 3
- Peptidase Inhibition and Analysis 3
- CAR-T cell therapy research 3
- Co-authors
- Qiang Zhang (8 shared papers)Jin Tan (9 shared papers)Yuyang Miao (9 shared papers)Mengmeng Li (2 shared papers)James L. Kirkland (3 shared papers)Yu Sun (2 shared papers)Tamar Tchkonia (2 shared papers)Sheau‐Huei Chueh (5 shared papers)
- Journals
- BMC Cancer (3 papers)Brain Research (2 papers)Journal of Cellular Physiology (2 papers)Frontiers in Pharmacology (2 papers)Journal of Neurochemistry (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shuling Song
34 papers receiving 1.4k citations
Shuling Song's Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 48
- Geriatrics and Gerontology 100
- Cell Biology 326
- Physiology 90
- Epidemiology 514
Countries citing papers authored by Shuling Song
This map shows the geographic impact of Shuling Song'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 Shuling Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Song more than expected).
Fields of papers citing papers by Shuling Song
This network shows the impact of papers produced by Shuling Song. 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 Shuling Song. The network helps show where Shuling Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuling Song, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crosstalk of autophagy and apoptosis: Involvement of the dual role of autophagy under ER stress Hit paper breakdown → | 2017 | 440 |
| 2 | 2017 | 283 | |
| 3 | 2020 | 136 | |
| 4 | 2016 | 122 | |
| 5 | 2020 | 97 | |
| 6 | 2018 | 48 | |
| 7 | 1995 | 22 | |
| 8 | 1996 | 19 | |
| 9 | 2011 | 19 | |
| 10 | 1996 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2018 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2007 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 10 |
About Shuling Song
Shuling Song is a scholar working on Molecular Biology, Oncology, Epidemiology, Physiology and Genetics, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Virus-based gene therapy research (4 papers), Cannabis and Cannabinoid Research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer-related Molecular Pathways (3 papers), Peptidase Inhibition and Analysis (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Aging (48 citations), Geriatrics and Gerontology (100 citations), Cell Biology (326 citations), Physiology (90 citations) and Epidemiology (514 citations). Shuling Song has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qiang Zhang, Jin Tan, Yuyang Miao, Mengmeng Li, James L. Kirkland, Yu Sun, Tamar Tchkonia, Sheau‐Huei Chueh, Eric W.‐F. Lam and Mengmeng Li. Their work appears in journals such as BMC Cancer, Brain Research, Journal of Cellular Physiology, Frontiers in Pharmacology and Journal of Neurochemistry.
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.