Feifei Lv

1.5k citations
68 papers · 1.2k · h-index 17

Impact in

    • Animal Nutrition and Physiology
    • Gut microbiota and health
    • Plant biochemistry and biosynthesis
    • Histone Deacetylase Inhibitors Research
    • Plant Gene Expression Analysis

Papers in

Feifei Lv

65 papers receiving 1.2k citations

Peers

Feifei Lv
Comparison fields: 5 of 106
  • Animal Science and Zoology 121
  • Molecular Biology 403
  • Complementary and alternative medicine 45
  • Organic Chemistry 144
  • Catalysis 21
Replace Huimin Yan with:
Huimin Yan China
Haiwen Zhang China
Zuzana Šinkorová Czechia
Yuxiao Liu China
Luyi Jiang China
Weiwei Jiang China
Hiroshi Shimoda Japan
He Ma China
Feifei Lv relative to Huimin Yan China Huimin Yan's profile →
Citations per field
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Huimin Yan · 1×
Citations per year

Countries citing papers authored by Feifei Lv

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021190
2 201573
3 201771
4 201461
5 201950
6 202037
7 202435
8 201334
9 202231
10 202030
11 201929
12 202225
13 202223
14 202222
15 202121
16 202120
17 202220
18 201517
19 201817
20 202217

About Feifei Lv

Feifei Lv is a scholar working on Animal Science and Zoology, Organic Chemistry, Cancer Research, Molecular Biology and Hepatology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wood and Agarwood Research (12 papers), Plant biochemistry and biosynthesis (6 papers), Animal Nutrition and Physiology (6 papers), Hepatitis B Virus Studies (5 papers), Coccidia and coccidiosis research (4 papers), Electromagnetic wave absorption materials (3 papers), COVID-19 Clinical Research Studies (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Animal Science and Zoology (121 citations), Molecular Biology (403 citations), Complementary and alternative medicine (45 citations), Organic Chemistry (144 citations) and Catalysis (21 citations). Feifei Lv has collaborated with scholars based in China, Pakistan and Egypt. Frequent co-authors include Hongbin Si, Jianhe Wei, Zhihui Gao, Yao Cui, Xiaomin Peng, Bin Lou, Da Xing, Jun Ma Zhou, Yuhan Wang and Baichang Xu. Their work appears in journals such as Frontiers in Veterinary Science, Industrial Crops and Products, Frontiers in Nutrition, Annals of Translational Medicine and Journal of Experimental Botany.

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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