Baolong Su
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 10%
Papers in
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- Lipid metabolism and biosynthesis 3
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Kevin J. Williams (8 shared papers)Ismail Emre Araci (1 shared paper)Stephen R. Quake (1 shared paper)Yossi Mandel (1 shared paper)Steven J. Bensinger (7 shared papers)Michael Snyder (2 shared papers)Daniel Hornburg (2 shared papers)Alessandro Sammarco (3 shared papers)
- Journals
- Nature Metabolism (2 papers)Cell Metabolism (2 papers)Science Translational Medicine (1 paper)Cancer Cell (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Baolong Su
15 papers receiving 859 citations
Baolong Su's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 133
- Biochemistry 51
- Ophthalmology 52
- Molecular Biology 368
- Immunology 85
Countries citing papers authored by Baolong Su
This map shows the geographic impact of Baolong Su'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 Baolong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolong Su more than expected).
Fields of papers citing papers by Baolong Su
This network shows the impact of papers produced by Baolong Su. 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 Baolong Su. The network helps show where Baolong Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Baolong Su, 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 | Dynamic lipidome alterations associated with human health, disease and ageing Hit paper breakdown → | 2023 | 162 |
| 2 | 2014 | 152 | |
| 3 | CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis Hit paper breakdown → | 2023 | 137 |
| 4 | 2020 | 123 | |
| 5 | 2021 | 89 | |
| 6 | 2021 | 70 | |
| 7 | 2023 | 42 | |
| 8 | 2020 | 39 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2025 | 7 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 |
About Baolong Su
Baolong Su is a scholar working on Biochemistry, Spectroscopy, Immunology, Cancer Research and Molecular Biology, having authored 15 papers that have together received 865 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Lipid metabolism and biosynthesis (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Adipose Tissue and Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers), Immune Response and Inflammation (2 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Cancer Research (133 citations), Biochemistry (51 citations), Ophthalmology (52 citations), Molecular Biology (368 citations) and Immunology (85 citations). Baolong Su has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Kevin J. Williams, Ismail Emre Araci, Stephen R. Quake, Yossi Mandel, Steven J. Bensinger, Michael Snyder, Daniel Hornburg, Alessandro Sammarco, Nasim Bararpour and Sophia Miryam Schüssler‐Fiorenza Rose. Their work appears in journals such as Nature Metabolism, Cell Metabolism, Science Translational Medicine, Cancer Cell and Nature Medicine.
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.