Jinfu Tang

74 total papers · 1.8k total citations
58 papers, 1.1k citations indexed

About

Jinfu Tang is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Jinfu Tang has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 19 papers in Pharmacology and 12 papers in Complementary and alternative medicine. Recurrent topics in Jinfu Tang's work include Plant biochemistry and biosynthesis (28 papers), Microbial Natural Products and Biosynthesis (12 papers) and Traditional Chinese Medicine Analysis (9 papers). Jinfu Tang is often cited by papers focused on Plant biochemistry and biosynthesis (28 papers), Microbial Natural Products and Biosynthesis (12 papers) and Traditional Chinese Medicine Analysis (9 papers). Jinfu Tang collaborates with scholars based in China, United States and Sweden. Jinfu Tang's co-authors include Luqi Huang, Juan Guo, Guanghong Cui, Baolong Jin, Ye Shen, Chang‐Jiang‐Sheng Lai, Tong Chen, Huixin Lin, Li Zhu and Jian Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jinfu Tang

57 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
Jinfu Tang 888 417 214 209 123 58 1.1k
Dean Guo 768 0.9× 364 0.9× 139 0.6× 205 1.0× 128 1.0× 60 1.2k
Baosheng Liao 1.0k 1.1× 483 1.2× 201 0.9× 192 0.9× 138 1.1× 54 1.3k
Shi Qiu 841 0.9× 370 0.9× 250 1.2× 150 0.7× 177 1.4× 67 1.5k
Qin‐Mei Zhou 588 0.7× 380 0.9× 149 0.7× 225 1.1× 213 1.7× 60 993
Junwei He 690 0.8× 329 0.8× 205 1.0× 195 0.9× 218 1.8× 76 1.2k
Zongsuo Liang 528 0.6× 353 0.8× 162 0.8× 224 1.1× 84 0.7× 53 921
Wajid Waheed Bhat 915 1.0× 296 0.7× 269 1.3× 167 0.8× 58 0.5× 37 1.2k
Agnieszka Pietrosiuk 640 0.7× 381 0.9× 99 0.5× 136 0.7× 143 1.2× 73 972
Takahisa Nakane 482 0.5× 336 0.8× 270 1.3× 247 1.2× 118 1.0× 62 1.1k
Natascha Techen 626 0.7× 444 1.1× 182 0.9× 181 0.9× 95 0.8× 50 1.1k

Countries citing papers authored by Jinfu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jinfu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfu Tang

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