Junqi Bai

558 citations
31 papers · 323 · h-index 11

Impact in

Papers in

    • Phytochemistry and biological activity of medicinal plants 8
    • Natural product bioactivities and synthesis 5
    • Genomics and Phylogenetic Studies 3

Junqi Bai

25 papers receiving 318 citations

Peers

Junqi Bai
Comparison fields: 5 of 78
  • Pharmacology 81
  • Complementary and alternative medicine 76
  • Biochemistry 32
  • Plant Science 115
  • Analytical Chemistry 30
Replace Truong Nhat Van Do with:
Truong Nhat Van Do Vietnam
Samuel M. Pro United States
Yang Zhong-lin China
Ahmed Aj. Jabbar Iraq
Tung-Ting Sham Hong Kong
Xudong Xing China
Wenjing Man China
Sheng Guo China
Zhibin Wang China
Hyeon‐A Kim South Korea
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Citations per field
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Truong Nhat Van Do · 1×
Citations per year

Countries citing papers authored by Junqi Bai

Since Specialization
Citations

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

Fields of papers citing papers by Junqi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junqi Bai, 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 Junqi Bai Line = papers co-authored together Junqi Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 201939
3 201430
4 201827
5 201827
6 202322
7 201822
8 202213
9 201912
10 201811
11 202010
12 201610
13 20178
14 20148
15 20187
16 20205
17 20225
18 20224
19 20214
20 20234

About Junqi Bai

Junqi Bai is a scholar working on Plant Science, Molecular Biology, Pharmacology, Complementary and alternative medicine and Biochemistry, having authored 31 papers that have together received 323 indexed citations. Recurring topics across this work include Phytochemistry and biological activity of medicinal plants (8 papers), Natural product bioactivities and synthesis (5 papers), Chromatography in Natural Products (5 papers), Traditional Chinese Medicine Analysis (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Genomics and Phylogenetic Studies (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Pharmacology (81 citations), Complementary and alternative medicine (76 citations), Biochemistry (32 citations), Plant Science (115 citations) and Analytical Chemistry (30 citations). Junqi Bai has collaborated with scholars based in China. Frequent co-authors include Wen Xu, Juan Huang, Zhihai Huang, Jing Zhang, Xiaohui Qiu, Xiaohui Qiu, He Su, Lu Gong, Jing Zhang and Da‐Yuan Zhu. Their work appears in journals such as Frontiers in Pharmacology, Molecules, Biomedical Chromatography, Journal of Agricultural and Food Chemistry and Neurocomputing.

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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