Sujing Yuan

1.1k citations
16 papers · 655 indexed · 2 hit papers · h-index 13
    • Immune Cell Function and Interaction 6
    • interferon and immune responses 2
    • Immunotherapy and Immune Responses 2
    • Cancer Research and Treatments 4
    • CAR-T cell therapy research 4
    • RNA modifications and cancer 2
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 5

Sujing Yuan

16 papers receiving 649 citations

Hit Papers

VDAC2 loss elicits tumour d...17202320262024202550100150

Peers

Sujing Yuan
Comparison fields: 5 of 80
  • Cancer Research 177
  • Immunology 196
  • Biotechnology 69
  • Oncology 189
  • Molecular Biology 351
Replace Dorota D. Klysz with:
Dorota D. Klysz United States
Takanori Kubo Japan
Cecilia Larocca United States
Sergey A. Kaliberov United States
Munetoyo Toda Japan
Alison Dahler Australia
Shawn T. Beug Canada
Thao H. Nguyen United States
E. P. Kopantzev Russia
Gowri Rangaswamy Gunassekaran South Korea
Sujing Yuan relative to Dorota D. Klysz United States Dorota D. Klysz's profile →
Citations per field
00.5×1.5×2.0×
Dorota D. Klysz · 1×
Citations per year

Countries citing papers authored by Sujing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Sujing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1
VDAC2 loss elicits tumour destruction and inflammation for cancer therapybreakdown →
202517
2 20255
3
SLC38A2 and glutamine signalling in cDC1s dictate anti-tumour immunitybreakdown →
2023154
4 202376
5 20228
6 202123
7 202142
8 201823
9 201727
10 201731
11 201614
12 201628
13 201681
14 201614
15 2016102
16 201410

About Sujing Yuan

Sujing Yuan is a scholar working on Biotechnology, Immunology and Oncology, having authored 16 papers that have together received 655 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers), Cancer Research and Treatments (4 papers), CAR-T cell therapy research (4 papers), interferon and immune responses (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (177 citations), Immunology (196 citations) and Biotechnology (69 citations). Sujing Yuan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liang Chu, Xinyuan Liu, Nicole M. Chapman, Hao Shi, Hongbo Chi, Seon Ah Lim, Jordy Saravia, Jianhua Chen, Sherri L. Rankin and Cliff Guy. Their work appears in journals such as Nature, ACS Nano and Clinical Cancer Research.

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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