Li Gao

151 total papers · 2.5k total citations
87 papers, 1.4k citations indexed

About

Li Gao is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Li Gao has authored 87 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hematology, 28 papers in Oncology and 22 papers in Genetics. Recurrent topics in Li Gao's work include Hematopoietic Stem Cell Transplantation (30 papers), CAR-T cell therapy research (15 papers) and Mesenchymal stem cell research (15 papers). Li Gao is often cited by papers focused on Hematopoietic Stem Cell Transplantation (30 papers), CAR-T cell therapy research (15 papers) and Mesenchymal stem cell research (15 papers). Li Gao collaborates with scholars based in China, United States and Japan. Li Gao's co-authors include Lei Gao, Xi Zhang, Yao Liu, Peiyan Kong, Ruihao Huang, Jiang F. Zhong, Cheng Zhang, Wen Qin, Wen Zhu and Xiaoping Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Li Gao

76 papers receiving 1.4k citations

Hit Papers

Recent advances in CAR-T ... 2020 2026 2022 2024 2020 2025 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Li Gao 596 477 347 335 306 87 1.4k
Carlos Bachier 637 1.1× 451 0.9× 273 0.8× 379 1.1× 336 1.1× 86 1.4k
Daria Pagliara 633 1.1× 669 1.4× 275 0.8× 681 2.0× 350 1.1× 65 1.7k
Mark B. Geyer 805 1.4× 278 0.6× 613 1.8× 352 1.1× 210 0.7× 61 1.6k
Amparo Sempere 387 0.6× 405 0.8× 340 1.0× 269 0.8× 308 1.0× 64 1.4k
Simon N. Robinson 506 0.8× 588 1.2× 376 1.1× 571 1.7× 445 1.5× 66 1.4k
Xin Du 502 0.8× 256 0.5× 839 2.4× 443 1.3× 531 1.7× 73 1.8k
Hanh Khuu 550 0.9× 290 0.6× 571 1.6× 328 1.0× 285 0.9× 44 1.5k
Francesca Del Bufalo 464 0.8× 151 0.3× 319 0.9× 262 0.8× 210 0.7× 78 1.1k
Marta Serafini 473 0.8× 294 0.6× 669 1.9× 313 0.9× 508 1.7× 67 1.8k
Jenna Voutsinas 1.2k 2.1× 265 0.6× 390 1.1× 278 0.8× 118 0.4× 74 1.6k

Countries citing papers authored by Li Gao

Since Specialization
Citations

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

Fields of papers citing papers by Li Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Gao

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