Yong Lu

113 total papers · 3.4k total citations
54 papers, 2.5k citations indexed

About

Yong Lu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Yong Lu has authored 54 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 30 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Yong Lu's work include Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (14 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Yong Lu is often cited by papers focused on Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (14 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Yong Lu collaborates with scholars based in United States, China and New Zealand. Yong Lu's co-authors include Qing Yi, Jianfei Qian, Enguang Bi, Xingzhe Ma, Qiang Wang, Yuhuan Zheng, Chengyun Zheng, Maojie Yang, Lintao Liu and Su Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yong Lu

53 papers receiving 2.5k citations

Hit Papers

Cholesterol Induces CD8+ ... 2019 2026 2021 2023 2019 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yong Lu 1.3k 991 938 504 273 54 2.5k
Daniel Ajona 1.4k 1.1× 933 0.9× 906 1.0× 399 0.8× 560 2.1× 55 2.9k
Jared K. Burks 675 0.5× 893 0.9× 1.3k 1.4× 471 0.9× 225 0.8× 84 2.5k
Fawzi Aoudjit 861 0.7× 1.0k 1.0× 1.2k 1.3× 567 1.1× 146 0.5× 61 2.7k
Igor Dolgalev 635 0.5× 1.1k 1.1× 1.6k 1.7× 417 0.8× 420 1.5× 55 3.1k
Kin-Ming Lo 1.1k 0.8× 1.4k 1.4× 1.8k 1.9× 689 1.4× 275 1.0× 43 3.5k
Daniel H. Madsen 647 0.5× 888 0.9× 838 0.9× 535 1.1× 231 0.8× 60 2.4k
Ferenc A. Scheeren 1.5k 1.2× 1.2k 1.2× 1.4k 1.5× 593 1.2× 242 0.9× 48 3.4k
Chengyun Zheng 1.1k 0.9× 676 0.7× 849 0.9× 420 0.8× 225 0.8× 68 2.6k
Sabina Sangaletti 2.4k 1.9× 1.6k 1.6× 1.3k 1.4× 527 1.0× 471 1.7× 79 4.4k
Roland P. Piekorz 1.1k 0.8× 1.0k 1.1× 1.6k 1.7× 396 0.8× 132 0.5× 74 3.4k

Countries citing papers authored by Yong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Lu

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

All Works

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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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