Sujing Yuan

1.1k total citations · 2 hit papers
16 papers, 655 citations indexed

About

Sujing Yuan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Sujing Yuan has authored 16 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Sujing Yuan's work include Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers) and Cancer Research and Treatments (4 papers). Sujing Yuan is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers) and Cancer Research and Treatments (4 papers). Sujing Yuan collaborates with scholars based in China, United States and United Kingdom. Sujing Yuan's 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 and has published in prestigious journals such as Nature, ACS Nano and Clinical Cancer Research.

In The Last Decade

Sujing Yuan

16 papers receiving 649 citations

Hit Papers

SLC38A2 and glutamine signalling in cDC1s dictate anti-tu... 2023 2026 2024 2025 2023 2025 50 100 150

Peers

Sujing Yuan
Comparison fields: 5 of 80
  • Molecular Biology 351
  • Immunology 196
  • Oncology 189
  • Cancer Research 177
  • Genetics 115
Replace Takanori Kubo with:
Takanori Kubo Japan
Dahlia M. Besmer United States
Sergey A. Kaliberov United States
Uksha Saini United States
Dorota D. Klysz United States
Hernando López-Bertoni United States
Jianhua Chen China
Maria S. Iliou United States
Shawn T. Beug Canada
Yuan‐Hung Lo United States
Takanori Kubo Japan View profile →
Citations per field, relative to Sujing Yuan
Sujing Yuan · 1×
Citations per year, relative to Sujing Yuan
Sujing Yuan · 1×

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 of co-authors of Sujing Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Sujing Yuan. A scholar is included among the top collaborators of Sujing Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sujing Yuan. Sujing Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1
VDAC2 loss elicits tumour destruction and inflammation for cancer therapy breakdown →
17
2 5
3
SLC38A2 and glutamine signalling in cDC1s dictate anti-tumour immunity breakdown →
154
4 76
5 8
6 23
7 42
8 23
9 27
10 31
11 14
12 28
13 81
14 14
15 102
16 10

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

Rankless by CCL
2026