Baolong Su
Impact in
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- Cancer, Lipids, and Metabolism
- Ophthalmology top 10%
- Glaucoma and retinal disorders
Papers in
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- Metabolomics and Mass Spectrometry Studies 5
- Peroxisome Proliferator-Activated Receptors 1
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- Cancer, Lipids, and Metabolism 4
- Cancer, Hypoxia, and Metabolism 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 (9 shared papers)M Snyder (2 shared papers)Daniel Hornburg (2 shared papers)Alessandro Sammarco (5 shared papers)
- Journals
- Neuro-Oncology (2 papers)Cell Metabolism (2 papers)Lipids in Health and Disease (1 paper)Nature Medicine (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Baolong Su
13 papers receiving 672 citations
Baolong Su's Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 117
- Ophthalmology 50
- Biochemistry 39
- Molecular Biology 284
- Immunology 74
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 | 2014 | 143 | |
| 2 | Dynamic lipidome alterations associated with human health, disease and ageing Hit paper breakdown → | 2023 | 133 |
| 3 | CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis Hit paper breakdown → | 2023 | 121 |
| 4 | 2020 | 112 | |
| 5 | 2021 | 67 | |
| 6 | 2023 | 36 | |
| 7 | 2020 | 31 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 0 |
About Baolong Su
Baolong Su is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Spectroscopy, having authored 14 papers that have together received 675 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Lipids, and Metabolism (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Immune Response and Inflammation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Cancer Research (117 citations), Ophthalmology (50 citations), Biochemistry (39 citations), Molecular Biology (284 citations) and Immunology (74 citations). Baolong Su has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Kevin J. Williams, Ismail Emre Araci, Stephen R. Quake, Yossi Mandel, Steven J. Bensinger, M Snyder, Daniel Hornburg, Alessandro Sammarco, Tejaswini Mishra and Kévin Contrepois. Their work appears in journals such as Neuro-Oncology, Cell Metabolism, Lipids in Health and Disease, Nature Medicine and Science Translational 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.