Guan‐Hu Bao

3.3k citations
94 papers · 2.5k indexed · h-index 29
Topics
Tea Polyphenols and Effects (43 papers)Phytochemicals and Antioxidant Activities (26 papers)Natural product bioactivities and synthesis (10 papers)

In The Last Decade

Guan‐Hu Bao

92 papers receiving 2.4k citations

Peers

Guan‐Hu Bao
Comparison fields: 5 of 117
  • Pathology and Forensic Medicine 1.2k
  • Molecular Biology 913
  • Biochemistry 692
  • Food Science 619
  • Plant Science 359
Replace Tie-Jun Ling with:
Tie-Jun Ling China
Gina Borges United Kingdom
Puming He China
Andreas R. Rechner United Kingdom
Chih‐Yu Lo Taiwan
Catherine Besson France
Lucy Sun Hwang Taiwan
Susana González‐Manzano Spain
Vanessa Crespy France
Iva Fernandes Portugal
Guan‐Hu Bao relative to Tie-Jun Ling China Tie-Jun Ling's profile →
Citations per field
00.5×1.5×
Tie-Jun Ling · 1×
Citations per year

Countries citing papers authored by Guan‐Hu Bao

Since Specialization
Citations

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

Fields of papers citing papers by Guan‐Hu Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan‐Hu Bao. 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 Guan‐Hu Bao. The network helps show where Guan‐Hu Bao may publish in the future.

Co-authorship network of co-authors of Guan‐Hu Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Guan‐Hu Bao. A scholar is included among the top collaborators of Guan‐Hu Bao 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 Guan‐Hu Bao. Guan‐Hu Bao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 12
3 9
4 4
5 4
6 16
7 2
8 5
9 7
10 6
11 8
12 35
13 6
14 44
15 86
16 13
17 2
18 28
19
Two New Phenolic Glycosides from the Roots of Rhododendron molle
1
20
One New Diterpene Glucoside from the Roots of Rhododendron molle
7

About Guan‐Hu Bao

Guan‐Hu Bao is a scholar working on Biochemistry, Biological Psychiatry and Pathology and Forensic Medicine, having authored 94 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (43 papers), Phytochemicals and Antioxidant Activities (26 papers) and Natural product bioactivities and synthesis (10 papers). The work is most often cited by research in Biochemistry (692 citations), Biological Psychiatry (197 citations) and Pathology and Forensic Medicine (1.2k citations). Guan‐Hu Bao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaochun Wan, Tie-Jun Ling, Fenglin Hu, Wenjun Zheng, Wei Wang, Gang-Xiu Chu, Jia‐Ping Ke, Zhongwen Xie, Guo‐Wei Qin and Peng Zhou. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Applied Microbiology and Biotechnology.

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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