Baolong Su

1.1k citations
14 papers · 609 · 2 hit papers · h-index 9

Impact in

Papers in

Baolong Su

12 papers receiving 606 citations

Baolong Su's Hit Papers

Dynamic lipidome alterations associated with human health, disease and ageing 2023 · 111 citations
1110+1+2Years since publication255075100

Peers

Baolong Su
Comparison fields: 5 of 92
  • Cancer Research 123
  • Ophthalmology 54
  • Biochemistry 38
  • Molecular Biology 288
  • Immunology 79
Replace Joanna D. Stewart with:
Joanna D. Stewart Germany
Jonghwa Jin South Korea
Chieh‐Lin Wu Taiwan
Avik Banerjee United States
Tzu‐Pin Shentu United States
David Rini United States
Jessica L. Maiers United States
Humra Athar United States
Kazuyuki Hayashida Japan
Quan Yu China
Baolong Su relative to Joanna D. Stewart Germany Joanna D. Stewart's profile →
Citations per field
00.5×10×13.8×
Joanna D. Stewart · 1×
Citations per year

Countries citing papers authored by Baolong Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Baolong Su Line = papers co-authored together Baolong Su links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014141
2
Dynamic lipidome alterations associated with human health, disease and ageing
Hit paper breakdown →
2023111
3 2020106
4
CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis
Hit paper breakdown →
2023102
5 202162
6 202030
7 202329
8 202013
9 202111
10 20242
11 20231
12 20251
13 20250
14 20220

About Baolong Su

Baolong Su is a scholar working on Molecular Biology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 609 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Immune Response and Inflammation (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Smoking Behavior and Cessation (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Cancer Research (123 citations), Ophthalmology (54 citations), Biochemistry (38 citations), Molecular Biology (288 citations) and Immunology (79 citations). Baolong Su has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Yossi Mandel, Stephen R. Quake, Ismail Emre Araci, Kevin J. Williams, Steven J. Bensinger, Daniel Hornburg, M Snyder, Alessandro Sammarco, Nasim Bararpour and Tejaswini Mishra. Their work appears in journals such as Cell Metabolism, Neuro-Oncology, Science Translational Medicine, Nature Medicine and Journal of 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.

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