Qing Yi

13.8k total citations · 3 hit papers
197 papers, 9.8k citations indexed

About

Qing Yi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Qing Yi has authored 197 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Immunology, 64 papers in Molecular Biology and 63 papers in Oncology. Recurrent topics in Qing Yi's work include Immunotherapy and Immune Responses (66 papers), Multiple Myeloma Research and Treatments (58 papers) and T-cell and B-cell Immunology (52 papers). Qing Yi is often cited by papers focused on Immunotherapy and Immune Responses (66 papers), Multiple Myeloma Research and Treatments (58 papers) and T-cell and B-cell Immunology (52 papers). Qing Yi collaborates with scholars based in United States, China and Sweden. Qing Yi's co-authors include Jianfei Qian, Enguang Bi, Xingzhe Ma, Jing Yang, Maojie Yang, Lintao Liu, Larry W. Kwak, Yuhuan Zheng, Qiang Wang and Yong Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Qing Yi

193 papers receiving 9.7k citations

Hit Papers

Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor M... 2019 2026 2021 2023 2019 2021 2020 200 400 600

Peers

Qing Yi
Comparison fields: 5 of 127
  • Immunology 4.9k
  • Molecular Biology 3.8k
  • Oncology 3.6k
  • Hematology 1.8k
  • Cancer Research 1.7k
Replace Veronika Sexl with:
Veronika Sexl Austria
Eduardo M. Sotomayor United States
William Matsui United States
Ivan Borrello United States
R. Eric Davis United States
Christoph Huber Germany
David Avigan United States
Amnon Peled Israel
Joost J. van den Oord Belgium
Ralf C. Bargou Germany
Veronika Sexl Austria View profile →
Citations per field, relative to Qing Yi
Qing Yi · 1×
Citations per year, relative to Qing Yi
Qing Yi · 1×

Countries citing papers authored by Qing Yi

Since Specialization
Citations

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

Fields of papers citing papers by Qing Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Yi. A scholar is included among the top collaborators of Qing Yi 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 Qing Yi. Qing Yi 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 2
2 15
3 16
4 7
5 9
6
Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages breakdown →
360
7 140
8
Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment breakdown →
697
9 118
10 9
11 20
12 37
13 22
14 69
15 88
16 35
17 97
18
Information Query System Based on GSM Short Message
0
19 59
20 27

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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2026