Zhijie Lu

103 total papers · 1.6k total citations
63 papers, 1.1k citations indexed

About

Zhijie Lu is a scholar working on Physiology, Anesthesiology and Pain Medicine and Molecular Biology. According to data from OpenAlex, Zhijie Lu has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 14 papers in Anesthesiology and Pain Medicine and 13 papers in Molecular Biology. Recurrent topics in Zhijie Lu's work include Pain Mechanisms and Treatments (14 papers), Pain Management and Opioid Use (6 papers) and Neuropeptides and Animal Physiology (6 papers). Zhijie Lu is often cited by papers focused on Pain Mechanisms and Treatments (14 papers), Pain Management and Opioid Use (6 papers) and Neuropeptides and Animal Physiology (6 papers). Zhijie Lu collaborates with scholars based in China, United States and Hong Kong. Zhijie Lu's co-authors include David H. Mathews, Weifeng Yu, Xuerong Miao, Kunming Tao, Liqun Yang, Yuming Sun, Kai Wei, Shengdong Huang, Feixiang Wu and Jingxiang Wu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and NeuroImage.

In The Last Decade

Zhijie Lu

53 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Zhijie Lu 380 271 155 144 98 63 1.1k
Jing Wang 382 1.0× 143 0.5× 115 0.7× 87 0.6× 121 1.2× 58 1.3k
Jan M. Schilling 458 1.2× 238 0.9× 102 0.7× 100 0.7× 82 0.8× 51 994
Frank Niklasson 301 0.8× 360 1.3× 129 0.8× 206 1.4× 56 0.6× 59 1.4k
Vibol Chhor 217 0.6× 111 0.4× 156 1.0× 153 1.1× 163 1.7× 25 1.4k
Cynthia L. Renn 181 0.5× 467 1.7× 266 1.7× 88 0.6× 112 1.1× 57 1.3k
Jun Mu 490 1.3× 231 0.9× 83 0.5× 40 0.3× 134 1.4× 43 1.4k
Rakesh Kumar 399 1.1× 146 0.5× 107 0.7× 163 1.1× 79 0.8× 76 1.2k
Y Bureau 167 0.4× 161 0.6× 178 1.1× 168 1.2× 76 0.8× 85 1.3k
Benjamin F. Gruenbaum 359 0.9× 215 0.8× 415 2.7× 101 0.7× 272 2.8× 90 1.5k
Rong Zhao 345 0.9× 154 0.6× 133 0.9× 145 1.0× 120 1.2× 59 1.4k

Countries citing papers authored by Zhijie Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhijie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijie Lu

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