Moshi Song
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
Papers in
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Gerald W. DornGuang‐Hui LiuJing QuWeiqi ZhangGuohua GongSi WangScot J. MatkovichOrian S. Shirihai
- Journals
- Protein & Cell (11 papers)Circulation Research (6 papers)Nucleic Acids Research (4 papers)Cell Metabolism (3 papers)Journal of Molecular and Cellular Cardiology (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Moshi Song
68 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 325
- Geriatrics and Gerontology 244
- Molecular Biology 3.3k
- Clinical Biochemistry 299
- Physiology 885
Countries citing papers authored by Moshi Song
This map shows the geographic impact of Moshi 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 Moshi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshi Song more than expected).
Fields of papers citing papers by Moshi Song
This network shows the impact of papers produced by Moshi 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 Moshi Song. The network helps show where Moshi Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Moshi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 108 | |
| 8 | 2021 | 49 | |
| 9 | 2020 | 95 | |
| 10 | 2020 | 208 | |
| 11 | 2020 | 231 | |
| 12 | 2020 | 105 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 80 | |
| 15 | 2019 | 92 | |
| 16 | 2019 | 92 | |
| 17 | 2018 | 64 | |
| 18 | 2017 | 240 | |
| 19 | 2015 | 111 | |
| 20 | 2012 | 24 |
About Moshi Song
Moshi Song is a scholar working on Aging, Neuropsychology and Physiological Psychology, Geriatrics and Gerontology, Molecular Biology and Clinical Biochemistry, having authored 69 papers that have together received 4.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Telomeres, Telomerase, and Senescence (9 papers), ATP Synthase and ATPases Research (9 papers), Autophagy in Disease and Therapy (9 papers), Single-cell and spatial transcriptomics (7 papers), CRISPR and Genetic Engineering (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Aging (325 citations), Geriatrics and Gerontology (244 citations), Molecular Biology (3.3k citations), Clinical Biochemistry (299 citations) and Physiology (885 citations). Moshi Song has collaborated with scholars based in China, United States and India. Frequent co-authors include Gerald W. Dorn, Guang‐Hui Liu, Jing Qu, Weiqi Zhang, Guohua Gong, Si Wang, Scot J. Matkovich, Orian S. Shirihai, Yun Chen and Luca Scorrano. Their work appears in journals such as Protein & Cell, Circulation Research, Nucleic Acids Research, Cell Metabolism and Journal of Molecular and Cellular Cardiology.
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.