Gui‐Hua Tang

173 total papers · 3.7k total citations
154 papers, 2.8k citations indexed

About

Gui‐Hua Tang is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Gui‐Hua Tang has authored 154 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 39 papers in Plant Science and 31 papers in Pharmacology. Recurrent topics in Gui‐Hua Tang's work include Bioactive Natural Diterpenoids Research (43 papers), Natural product bioactivities and synthesis (29 papers) and Traditional and Medicinal Uses of Annonaceae (26 papers). Gui‐Hua Tang is often cited by papers focused on Bioactive Natural Diterpenoids Research (43 papers), Natural product bioactivities and synthesis (29 papers) and Traditional and Medicinal Uses of Annonaceae (26 papers). Gui‐Hua Tang collaborates with scholars based in China, United States and Pakistan. Gui‐Hua Tang's co-authors include Sheng Yin, Xiao‐Jiang Hao, Yue‐Hu Wang, Junsheng Zhang, Chunlin Long, Run‐Zhu Fan, Jia-Luo Huang, Yan‐Qiong Guo, Xin Liu and Jun Sang and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gui‐Hua Tang

149 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Gui‐Hua Tang 1.9k 707 585 544 515 154 2.8k
Jing Qu 1.8k 1.0× 793 1.1× 647 1.1× 635 1.2× 414 0.8× 145 3.0k
Shuang‐Gang Ma 1.8k 1.0× 743 1.1× 538 0.9× 614 1.1× 387 0.8× 149 2.9k
Lei Wang 1.4k 0.7× 665 0.9× 599 1.0× 713 1.3× 510 1.0× 165 2.9k
Li‐She Gan 1.7k 0.9× 643 0.9× 699 1.2× 768 1.4× 439 0.9× 162 3.1k
Zhan‐Lin Li 1.9k 1.0× 817 1.2× 927 1.6× 688 1.3× 401 0.8× 173 3.3k
Judith Polonsky 1.8k 0.9× 684 1.0× 606 1.0× 626 1.2× 274 0.5× 132 3.4k
Xiao‐Jun Huang 1.0k 0.5× 746 1.1× 586 1.0× 715 1.3× 751 1.5× 146 2.5k
Tetsuro Shingu 1.6k 0.9× 788 1.1× 661 1.1× 864 1.6× 598 1.2× 150 3.3k
Mutsuo Kozuka 1.6k 0.8× 820 1.2× 395 0.7× 651 1.2× 342 0.7× 115 2.8k
Sheng‐Hong Li 2.3k 1.2× 1.2k 1.7× 697 1.2× 359 0.7× 544 1.1× 170 3.4k

Countries citing papers authored by Gui‐Hua Tang

Since Specialization
Citations

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

Fields of papers citing papers by Gui‐Hua Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui‐Hua Tang

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