Han Lv

926 citations
26 papers · 710 · h-index 16

Impact in

    • Phytochemicals and Antioxidant Activities
    • Pharmacological Effects of Natural Compounds

Papers in

    • Natural product bioactivities and synthesis 10
    • Genomics, phytochemicals, and oxidative stress 3
    • Pharmacological Effects of Natural Compounds 6

Han Lv

24 papers receiving 702 citations

Peers

Han Lv
Comparison fields: 5 of 93
  • Biochemistry 99
  • Pharmacology 101
  • Complementary and alternative medicine 56
  • Endocrinology, Diabetes and Metabolism 112
  • Molecular Biology 369
Replace Jingda Li with:
Jingda Li China
Nejat Kheiripour Iran
Su‐Kyung Shin South Korea
Lingyuan Xu China
Guanzhong Wu China
Cheng‐Hsiu Lin Taiwan
Xilan Tang China
Ajaz Ahmad Ganai India
Bingru Ren China
Ganapathy Sindhu India
Han Lv relative to Jingda Li China Jingda Li's profile →
Citations per field
00.5×6.2×
Jingda Li · 1×
Citations per year

Countries citing papers authored by Han Lv

Since Specialization
Citations

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

Fields of papers citing papers by Han Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018190
2 202086
3 201851
4 202149
5 202042
6 201734
7 202028
8 201828
9 201727
10 202324
11 202222
12 201621
13 202117
14 201517
15 201917
16 202115
17
[Studies on the triterpenes from loquat leaf (Eriobotrya japonica)].
200811
18 20159
19 20228
20 20255

About Han Lv

Han Lv is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 26 papers that have together received 710 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (10 papers), Pharmacological Effects of Natural Compounds (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Sesquiterpenes and Asteraceae Studies (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Natural Antidiabetic Agents Studies (3 papers), Phytochemistry and Biological Activities (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Biochemistry (99 citations), Pharmacology (101 citations), Complementary and alternative medicine (56 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Molecular Biology (369 citations). Han Lv has collaborated with scholars based in China, Canada and Czechia. Frequent co-authors include Bingru Ren, Tunyu Jian, Xiaoqin Ding, Weilin Li, Yuexian Wu, Jian Chen, Jiawei Li, Lei Zhao, Yuanyuan Zuo and Bei Tong. Their work appears in journals such as Biomedicine & Pharmacotherapy, Food & Function, Oxidative Medicine and Cellular Longevity, Journal of Agricultural and Food Chemistry and European Food Research and Technology.

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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