Xuting Ye

745 citations
12 papers · 617 · 1 hit paper · h-index 9

Impact in

Papers in

Xuting Ye

11 papers receiving 611 citations

Xuting Ye's Hit Papers

CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity 2019 · 411 citations
4110+2+4Years since publication100200300400

Peers

Xuting Ye
Comparison fields: 5 of 66
  • Cancer Research 185
  • Immunology 154
  • Paleontology 50
  • Oncology 160
  • Molecular Biology 405
Replace M. Carmen Garrido-Navas with:
M. Carmen Garrido-Navas Spain
David Finkle United States
Fernando Revert Spain
Lucia Liguori Italy
Valentina Salsi Italy
Marie-Chantal Grégoire Canada
Margaret T. Armstrong United States
Salvatore Simmini Netherlands
Markku Saari Finland
Patricia Sousa United States
Xuting Ye relative to M. Carmen Garrido-Navas Spain M. Carmen Garrido-Navas's profile →
Citations per field
00.5×5.9×
M. Carmen Garrido-Navas · 1×
Citations per year

Countries citing papers authored by Xuting Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xuting Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity
Hit paper breakdown →
2019411
2 201757
3 201930
4 201623
5 201122
6 201219
7 200618
8 201114
9 199111
10 20198
11 20184
12 20260

About Xuting Ye

Xuting Ye is a scholar working on Molecular Biology, Paleontology, Oncology, Genetics and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 617 indexed citations. Recurring topics across this work include Marine Invertebrate Physiology and Ecology (3 papers), Venomous Animal Envenomation and Studies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Viral Infections and Immunology Research (2 papers), Aquaculture disease management and microbiota (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Bioactive Natural Diterpenoids Research (1 paper) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Cancer Research (185 citations), Immunology (154 citations), Paleontology (50 citations), Oncology (160 citations) and Molecular Biology (405 citations). Xuting Ye has collaborated with scholars based in China and United States. Frequent co-authors include Fangxing Lin, Changhai Lei, Yongji Yang, Yafeng Shen, Wenyan Fu, Shi Hu, Xiaoyan Fan, Min Ding, Shuowu Liu and Yingshu Cui. Their work appears in journals such as Acta Oto-Laryngologica, Nature Communications, Clinical Cancer Research, European Journal of Immunology and Marine Drugs.

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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