Zhijian Fu

76 total papers · 1.3k total citations
56 papers, 1.0k citations indexed

About

Zhijian Fu is a scholar working on Pharmacology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Zhijian Fu has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pharmacology, 19 papers in Physiology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Zhijian Fu's work include Pain Mechanisms and Treatments (18 papers), Musculoskeletal pain and rehabilitation (11 papers) and Medical and Biological Ozone Research (11 papers). Zhijian Fu is often cited by papers focused on Pain Mechanisms and Treatments (18 papers), Musculoskeletal pain and rehabilitation (11 papers) and Medical and Biological Ozone Research (11 papers). Zhijian Fu collaborates with scholars based in China, United States and Czechia. Zhijian Fu's co-authors include Tao Sun, Tao Sun, Xuejun Zhao, Junnan Wang, Zongwang Zhang, Xiujuan Gao, Zhihua Liu, Wei Song, Shanglong Yao and Lei Liu and has published in prestigious journals such as PLoS ONE, Neuroscience and Anesthesiology.

In The Last Decade

Zhijian Fu

55 papers receiving 990 citations

Author Peers

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

Author Last Decade Papers Cites
Zhijian Fu 351 309 212 165 132 56 1.0k
Tao Sun 348 1.0× 142 0.5× 243 1.1× 171 1.0× 115 0.9× 54 1.0k
Wania Aparecida Partata 428 1.2× 142 0.5× 191 0.9× 175 1.1× 62 0.5× 53 895
May Hamza 427 1.2× 370 1.2× 171 0.8× 247 1.5× 55 0.4× 30 941
Shouwei Yue 372 1.1× 190 0.6× 201 0.9× 107 0.6× 49 0.4× 54 1.1k
Megumi Matsuda 511 1.5× 115 0.4× 219 1.0× 226 1.4× 105 0.8× 28 1.1k
Carlos Goicoechea 519 1.5× 340 1.1× 320 1.5× 333 2.0× 60 0.5× 78 1.2k
Tao Song 304 0.9× 129 0.4× 432 2.0× 122 0.7× 79 0.6× 70 1.1k
Xiaoping Gu 348 1.0× 109 0.4× 281 1.3× 162 1.0× 46 0.3× 59 945
Zongbin Song 426 1.2× 93 0.3× 330 1.6× 236 1.4× 100 0.8× 50 1.0k
Vipin Arora 284 0.8× 144 0.5× 146 0.7× 120 0.7× 34 0.3× 56 1.2k

Countries citing papers authored by Zhijian Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhijian Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijian Fu

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