Loling Song
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- FOXO transcription factor regulation 1
- PI3K/AKT/mTOR signaling in cancer 1
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- 3D Printing in Biomedical Research 2
- Microfluidic and Capillary Electrophoresis Applications 1
- Co-authors
- Sizhen Gao (2 shared papers)Joan S. Brugge (3 shared papers)Zachary Gerhart‐Hines (1 shared paper)Alexandra Grassian (1 shared paper)Hanna Y. Irie (1 shared paper)Zachary T. Schafer (1 shared paper)Zhenyang Jiang (1 shared paper)Pere Puigserver (1 shared paper)
- Journals
- Cancer Cell (1 paper)Nature (1 paper)European Journal of Cell Biology (1 paper)Cancer Research (1 paper)Humana Press eBooks (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Loling Song
5 papers receiving 1.3k citations
Loling Song's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 461
- Cell Biology 212
- Molecular Biology 842
- Oncology 290
- Immunology and Allergy 47
Countries citing papers authored by Loling Song
This map shows the geographic impact of Loling 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 Loling Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loling Song more than expected).
Fields of papers citing papers by Loling Song
This network shows the impact of papers produced by Loling 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 Loling Song. The network helps show where Loling Song may publish in the future.
Co-authors
The 21 scholars most cited alongside Loling 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 | Antioxidant and oncogene rescue of metabolic defects caused by loss of matrix attachment Hit paper breakdown → | 2009 | 808 |
| 2 | 2012 | 315 | |
| 3 | 2006 | 156 | |
| 4 | 2004 | 13 | |
| 5 | 2012 | 1 |
About Loling Song
Loling Song is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Oncology and Cell Biology, having authored 5 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), 3D Printing in Biomedical Research (2 papers), FOXO transcription factor regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer-related Molecular Pathways (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Cancer Research (461 citations), Cell Biology (212 citations), Molecular Biology (842 citations), Oncology (290 citations) and Immunology and Allergy (47 citations). Loling Song has collaborated with scholars based in United States and Germany. Frequent co-authors include Sizhen Gao, Joan S. Brugge, Zachary Gerhart‐Hines, Alexandra Grassian, Hanna Y. Irie, Zachary T. Schafer, Zhenyang Jiang, Pere Puigserver, Taru Muranen and Marcin Iwanicki. Their work appears in journals such as Cancer Cell, Nature, European Journal of Cell Biology, Cancer Research and Humana Press eBooks.
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.