Diyuan Qin

1.1k total citations · 1 hit paper
27 papers, 548 citations indexed

About

Diyuan Qin is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Diyuan Qin has authored 27 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 9 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Diyuan Qin's work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Diyuan Qin is often cited by papers focused on CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Diyuan Qin collaborates with scholars based in China, United States and Canada. Diyuan Qin's co-authors include Yongsheng Wang, Yuquan Wei, Wei Wang, Binglan Zhang, Qi-Jing Li, Zeming Mo, Peter B. Alexander, Dan Li, Wei Wei and Yongsheng Wang and has published in prestigious journals such as Journal of Clinical Oncology, Nature Cell Biology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Diyuan Qin

22 papers receiving 538 citations

Hit Papers

Cancer-cell-derived GABA promotes β-catenin-mediated tumo... 2022 2026 2023 2024 2022 50 100 150

Peers

Diyuan Qin
Comparison fields: 5 of 74
  • Oncology 313
  • Immunology 197
  • Molecular Biology 164
  • Biomedical Engineering 76
  • Genetics 72
Replace Megan M. Wyatt with:
Megan M. Wyatt United States
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Gianluca Zaccarello Italy
Huimin Zhang China
Megan M. Wyatt United States View profile →
Citations per field, relative to Diyuan Qin
Diyuan Qin · 1×
Citations per year, relative to Diyuan Qin
Diyuan Qin · 1×

Countries citing papers authored by Diyuan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Diyuan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diyuan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Diyuan Qin. A scholar is included among the top collaborators of Diyuan Qin 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 Diyuan Qin. Diyuan Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 0
6 1
7 23
8 0
9 1
10 17
11 30
12 9
13 19
14 2
15 7
16
Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression breakdown →
165
17 42
18 75
19 16
20 5

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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