Xia Lv

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

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Natural product bioactivities and synthesis 11
    • Cancer therapeutics and mechanisms 6
    • Pharmacogenetics and Drug Metabolism 14
    • Pharmacological Effects of Natural Compounds 6

Xia Lv

64 papers receiving 1.4k citations

Peers

Xia Lv
Comparison fields: 5 of 107
  • Pharmacology 346
  • Biochemistry 97
  • Pharmacology 196
  • Pharmaceutical Science 68
  • Molecular Biology 651
Replace Shin Ando with:
Shin Ando Japan
Dongmei Fang China
Lin Yang China
Haifeng Wu China
Giovanni Lentini Italy
Jong Hwan Kwak South Korea
Petr Hodek Czechia
B. China Raju India
Zengjun Guo China
Young G. Shin South Korea
Xia Lv relative to Shin Ando Japan Shin Ando's profile →
Citations per field
00.5×3.3×
Shin Ando · 1×
Citations per year

Countries citing papers authored by Xia Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xia Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015178
2 201688
3 201970
4 201869
5 201565
6 201565
7 201756
8 201852
9 201745
10 201839
11 201637
12 201836
13 201234
14 201833
15 201330
16 201928
17 202128
18 201727
19 201826
20 201226

About Xia Lv

Xia Lv is a scholar working on Molecular Biology, Pharmacology, Plant Science, Oncology and Organic Chemistry, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Natural product bioactivities and synthesis (11 papers), Drug Transport and Resistance Mechanisms (8 papers), Cancer therapeutics and mechanisms (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Phytochemistry and Biological Activities (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Free Radicals and Antioxidants (4 papers). The work is most often cited by research in Pharmacology (346 citations), Biochemistry (97 citations), Pharmacology (196 citations), Pharmaceutical Science (68 citations) and Molecular Biology (651 citations). Xia Lv has collaborated with scholars based in China, Finland and Russia. Frequent co-authors include Guang‐Bo Ge, Ling Yang, Jing Ning, Lei Feng, Jianbin Zhang, Xiaochi Ma, Jie Hou, Dandan Wang, Qiang Jin and Tongyi Dou. Their work appears in journals such as Acta Pharmaceutica Sinica B, International Journal of Biological Macromolecules, Molecules, Drug Metabolism and Pharmacokinetics and Xenobiotica.

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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