Jiankai Liang

41 total papers · 1.1k total citations
25 papers, 380 citations indexed

About

Jiankai Liang is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Jiankai Liang has authored 25 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 14 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Jiankai Liang's work include Virus-based gene therapy research (22 papers), CAR-T cell therapy research (11 papers) and Animal Virus Infections Studies (6 papers). Jiankai Liang is often cited by papers focused on Virus-based gene therapy research (22 papers), CAR-T cell therapy research (11 papers) and Animal Virus Infections Studies (6 papers). Jiankai Liang collaborates with scholars based in China and United States. Jiankai Liang's co-authors include Guangmei Yan, Yuan Lin, Jing Cai, Wenbo Zhu, Jun Hu, Yaqian Tan, Haipeng Zhang, Xingwen Su, Xincheng Liu and Kai Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jiankai Liang

22 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Jiankai Liang 254 204 199 84 53 25 380
Min Liang 227 0.9× 186 0.9× 216 1.1× 56 0.7× 48 0.9× 14 393
Shohei Miyamoto 257 1.0× 191 0.9× 162 0.8× 100 1.2× 64 1.2× 16 391
Victoria A. Jennings 235 0.9× 192 0.9× 134 0.7× 126 1.5× 43 0.8× 16 373
Emma J. West 195 0.8× 187 0.9× 123 0.6× 132 1.6× 39 0.7× 22 357
Svitlana P. Grekova 311 1.2× 236 1.2× 136 0.7× 68 0.8× 134 2.5× 14 437
Janet Lei-Rossmann 230 0.9× 229 1.1× 141 0.7× 81 1.0× 54 1.0× 19 393
Dongling Gao 231 0.9× 255 1.3× 146 0.7× 113 1.3× 32 0.6× 22 398
Heshan Sam Zhou 245 1.0× 138 0.7× 244 1.2× 39 0.5× 59 1.1× 18 372
Karim Ghani 142 0.6× 95 0.5× 260 1.3× 55 0.7× 51 1.0× 20 379
Yves Poitevin 187 0.7× 111 0.5× 199 1.0× 82 1.0× 21 0.4× 16 355

Countries citing papers authored by Jiankai Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jiankai Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiankai Liang

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