Hai‐Ning Lv

1.7k citations
58 papers · 1.4k · h-index 24

Impact in

Papers in

    • Natural product bioactivities and synthesis 12
    • Bioactive natural compounds 4
    • Phytochemistry and Biological Activities 10
    • Plant chemical constituents analysis 9
    • Phytochemistry and biological activities of Ficus species 6

Hai‐Ning Lv

57 papers receiving 1.4k citations

Peers

Hai‐Ning Lv
Comparison fields: 5 of 102
  • Pharmacology 146
  • Biochemistry 100
  • Biochemistry 71
  • Pharmacology 197
  • Molecular Biology 742
Replace Chien‐Chang Shen with:
Chien‐Chang Shen Taiwan
Xiaobo Wang China
Xin Wei China
Dean Guo China
Dali Meng China
Xi Yan South Korea
Ean‐Jeong Seo Germany
Chia‐Ying Li Taiwan
Seung Woong Lee South Korea
Hamed Karimian Malaysia
Hai‐Ning Lv relative to Chien‐Chang Shen Taiwan Chien‐Chang Shen's profile →
Citations per field
00.5×
Chien‐Chang Shen · 1×
Citations per year

Countries citing papers authored by Hai‐Ning Lv

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Ning Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Ning Lv. 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 Hai‐Ning Lv. The network helps show where Hai‐Ning Lv may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 201596
3 201572
4 201470
5 201065
6 201746
7 201839
8 201337
9 200935
10 201534
11 201234
12 201333
13
Naturally Occurring Diarylheptanoids - A Supplementary Version
201232
14 201332
15 201232
16 201232
17 201531
18 201628
19 201527
20 201926

About Hai‐Ning Lv

Hai‐Ning Lv is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Pharmacology and Pharmacology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (12 papers), Phytochemistry and Biological Activities (10 papers), Plant chemical constituents analysis (9 papers), Phytochemistry and biological activities of Ficus species (6 papers), Essential Oils and Antimicrobial Activity (5 papers), Chromatography in Natural Products (4 papers), Bioactive natural compounds (4 papers) and Phytochemistry and Bioactive Compounds (4 papers). The work is most often cited by research in Pharmacology (146 citations), Biochemistry (100 citations), Biochemistry (71 citations), Pharmacology (197 citations) and Molecular Biology (742 citations). Hai‐Ning Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yong Jiang, Gaimei She, Peng‐Fei Tu, Shuang‐Gang Ma, Jing Qu, Yun‐Bao Liu, Yong Li, Ke‐Wu Zeng, Shi‐Shan Yu and Shi‐Shan Yu. Their work appears in journals such as Organic Letters, Journal of Natural Products, Journal of Asian Natural Products Research, Natural Product Communications and Scientific Reports.

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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