Su Pan

2.2k citations
49 papers · 1.6k · 1 hit paper · h-index 17

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

Su Pan

47 papers receiving 1.6k citations

Su Pan's Hit Papers

CD36-mediated ferroptosis dampens intratumoral CD8+ T cell effector function and impairs their antitumor ability 2021 · 705 citations
7050+1+3Years since publication200400600

Peers

Su Pan
Comparison fields: 5 of 102
  • Cancer Research 423
  • Immunology 308
  • Pulmonary and Respiratory Medicine 435
  • Oncology 295
  • Biomaterials 154
Replace Yujia Zheng with:
Yujia Zheng China
Mei Zhang China
Zhifeng Gu China
Yu Guo China
Yuanyuan Zhao China
Mahdi Ahmadi Iran
Ran Tian China
Hongwei Lv China
Su Pan relative to Yujia Zheng China Yujia Zheng's profile →
Citations per field
00.5×2.6×
Yujia Zheng · 1×
Citations per year

Countries citing papers authored by Su Pan

Since Specialization
Citations

This map shows the geographic impact of Su Pan'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 Su Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Pan more than expected).

Fields of papers citing papers by Su Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Pan. 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 Su Pan. The network helps show where Su Pan may publish in the future.

Co-authors

The 25 scholars most cited alongside Su Pan, 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 Su Pan Line = papers co-authored together Su Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CD36-mediated ferroptosis dampens intratumoral CD8+ T cell effector function and impairs their antitumor ability
Hit paper breakdown →
2021705
2 202098
3
IL-9/STAT3/fatty acid oxidation–mediated lipid peroxidation contributes to Tc9 cell longevity and enhanced antitumor activity
202277
4 202077
5 201965
6 202063
7 202050
8 202042
9 202237
10 202333
11 201830
12 202419
13 202019
14 202219
15 202019
16 201919
17 202118
18 202116
19 202216
20 201115

About Su Pan

Su Pan is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Ophthalmology and Oncology, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (5 papers), Ocular Diseases and Behçet’s Syndrome (5 papers), Ferroptosis and cancer prognosis (5 papers), Nerve injury and regeneration (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Inflammasome and immune disorders (3 papers), Bone Tissue Engineering Materials (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (423 citations), Immunology (308 citations), Pulmonary and Respiratory Medicine (435 citations), Oncology (295 citations) and Biomaterials (154 citations). Su Pan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qing Yi, Lingqun Ye, Qiang Wang, Liuling Xiao, Jianfei Qian, Maojie Yang, Enguang Bi, Xingzhe Ma, Lintao Liu and Xiaoyu Yang. Their work appears in journals such as British Journal of Ophthalmology, RSC Advances, Frontiers in Cell and Developmental Biology, Nature Communications and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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.

Explore authors with similar magnitude of impact