Yajun Shi

271 total papers · 3.9k total citations
157 papers, 2.9k citations indexed

About

Yajun Shi is a scholar working on Molecular Biology, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yajun Shi has authored 157 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Complementary and alternative medicine and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yajun Shi's work include Traditional Chinese Medicine Analysis (14 papers), Pharmacological Effects of Natural Compounds (13 papers) and Hydrocarbon exploration and reservoir analysis (11 papers). Yajun Shi is often cited by papers focused on Traditional Chinese Medicine Analysis (14 papers), Pharmacological Effects of Natural Compounds (13 papers) and Hydrocarbon exploration and reservoir analysis (11 papers). Yajun Shi collaborates with scholars based in China, United States and Australia. Yajun Shi's co-authors include Dongyan Liu, John K. Keesing, Yujue Wang, Junbo Zou, Zongling Wang, Peimin He, Dongyan Guo, Zhijun Dong, Jiangxue Cheng and Bingtao Zhai and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Yajun Shi

143 papers receiving 2.8k citations

Hit Papers

Afatinib versus gefitinib... 2013 2026 2017 2021 2017 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yajun Shi 635 615 473 390 288 157 2.9k
Chunbo Wang 1.6k 2.5× 251 0.4× 177 0.4× 201 0.5× 220 0.8× 180 4.5k
Toshikazu Suzuki 2.0k 3.2× 230 0.4× 198 0.4× 303 0.8× 378 1.3× 195 4.4k
Philip Kramer 827 1.3× 524 0.9× 347 0.7× 177 0.5× 928 3.2× 116 4.1k
Yan Ding 1.6k 2.5× 165 0.3× 314 0.7× 282 0.7× 212 0.7× 123 3.5k
Young Jae Lee 1.8k 2.9× 121 0.2× 557 1.2× 228 0.6× 191 0.7× 207 4.7k
Yoshihiro Suzuki 1.3k 2.0× 516 0.8× 266 0.6× 268 0.7× 417 1.4× 343 5.4k
Fang Yang 1.3k 2.1× 195 0.3× 323 0.7× 146 0.4× 339 1.2× 136 3.7k
Xiao Liang 1.5k 2.3× 83 0.1× 341 0.7× 264 0.7× 184 0.6× 230 3.8k
Gang� Li 1.5k 2.3× 153 0.2× 261 0.6× 378 1.0× 88 0.3× 224 3.7k
Sang Yong Lee 1.4k 2.2× 165 0.3× 466 1.0× 372 1.0× 144 0.5× 146 4.0k

Countries citing papers authored by Yajun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yajun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajun Shi

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