Wu Bi

611 citations
23 papers · 478 · h-index 12

Impact in

Papers in

Wu Bi

22 papers receiving 475 citations

Peers

Wu Bi
Comparison fields: 5 of 85
  • Biochemistry 56
  • Complementary and alternative medicine 36
  • Biological Psychiatry 9
  • Plant Science 142
  • Molecular Biology 238
Replace Nikoletta Kálmán with:
Nikoletta Kálmán Hungary
F HSU Taiwan
Nusrat Hussain Pakistan
Sang-Jun Lee South Korea
Yoshiyuki Nakamura Japan
Lu Yao China
Karpagam Veerappan South Korea
Hwi‐Ho Lee South Korea
Suvranil Ghosh India
Wu Bi relative to Nikoletta Kálmán Hungary Nikoletta Kálmán's profile →
Citations per field
00.5×1.7×
Nikoletta Kálmán · 1×
Citations per year

Countries citing papers authored by Wu Bi

Since Specialization
Citations

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

Fields of papers citing papers by Wu Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wu Bi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wu Bi Line = papers co-authored together Wu Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 200872
3 201569
4 201736
5 201834
6 201529
7 202027
8 201620
9 202119
10 201015
11 201714
12 201713
13 201610
14
Unisexual Pistillate Flower Regeneration in Immature Embryo Culture of Wheat
20037
15 20195
16
[Variation of ginsenosides in infected roots of American ginseng (Panax quinquefolium)].
20085
17
Effects of Lower Limb Exercise on Cardiac Function during 30 d Head-down Tilt Bed Rest.
20091
18 20231
19 20151
20 20201

About Wu Bi

Wu Bi is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Pathology and Forensic Medicine and Plant Science, having authored 23 papers that have together received 478 indexed citations. Recurring topics across this work include Plant-Derived Bioactive Compounds (4 papers), Tea Polyphenols and Effects (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer, Lipids, and Metabolism (2 papers), Natural product bioactivities and synthesis (2 papers), Food Quality and Safety Studies (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Biochemistry (56 citations), Complementary and alternative medicine (36 citations), Biological Psychiatry (9 citations), Plant Science (142 citations) and Molecular Biology (238 citations). Wu Bi has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Chunnian He, Yong Peng, Ying Gao, Jie Shen, Wei Gao, Pei‐Gen Xiao, Haibo Liu, Jie Shen, Xue‐Song Zhang and Pengfei Zhang. Their work appears in journals such as Plant and Soil, Frontiers in Plant Science, Pharmaceuticals, Acta Pharmaceutica Sinica B and Journal of Functional Foods.

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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