Quanli Gao

146 total papers · 2.7k total citations
66 papers, 1.4k citations indexed

About

Quanli Gao is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Quanli Gao has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 29 papers in Immunology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Quanli Gao's work include Cancer Immunotherapy and Biomarkers (31 papers), Immune Cell Function and Interaction (24 papers) and CAR-T cell therapy research (17 papers). Quanli Gao is often cited by papers focused on Cancer Immunotherapy and Biomarkers (31 papers), Immune Cell Function and Interaction (24 papers) and CAR-T cell therapy research (17 papers). Quanli Gao collaborates with scholars based in China, United States and Norway. Quanli Gao's co-authors include Zibing Wang, Brian G. Till, Hongxia Li, Liping Guo, Shih Hsin Lu, Lingdi Zhao, Zhenfeng Wang, Xiaoyu Liang, Feiran Cheng and Yabo Zhou and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Biochemistry.

In The Last Decade

Quanli Gao

61 papers receiving 1.4k citations

Hit Papers

Gasdermin E–mediated targ... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Quanli Gao 826 646 574 209 159 66 1.4k
Pengfei Zhou 645 0.8× 478 0.7× 506 0.9× 160 0.8× 241 1.5× 54 1.5k
Shigetaka Suekane 691 0.8× 442 0.7× 631 1.1× 395 1.9× 105 0.7× 82 1.3k
Hongyong He 777 0.9× 542 0.8× 677 1.2× 480 2.3× 262 1.6× 62 1.7k
Maike Büttner 517 0.6× 244 0.4× 670 1.2× 154 0.7× 122 0.8× 37 1.3k
Luigia Stefania Stucci 752 0.9× 635 1.0× 479 0.8× 162 0.8× 254 1.6× 46 1.5k
Taigo Kato 626 0.8× 538 0.8× 399 0.7× 301 1.4× 265 1.7× 117 1.6k
Jie Liu 595 0.7× 542 0.8× 469 0.8× 198 0.9× 194 1.2× 71 1.5k
Heather Tillman 293 0.4× 572 0.9× 412 0.7× 177 0.8× 129 0.8× 37 1.2k
Raymond A. Kempf 900 1.1× 469 0.7× 938 1.6× 247 1.2× 71 0.4× 48 1.7k
Taiki Moriyama 846 1.0× 650 1.0× 268 0.5× 141 0.7× 562 3.5× 59 1.5k

Countries citing papers authored by Quanli Gao

Since Specialization
Citations

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

Fields of papers citing papers by Quanli Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanli Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Quanli Gao. A scholar is included among the top collaborators of Quanli Gao 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 Quanli Gao. Quanli Gao 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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