Haoxin Lv

629 citations
35 papers · 393 · h-index 13

Impact in

Papers in

    • GABA and Rice Research 7
    • Rice Cultivation and Yield Improvement 4
    • Postharvest Quality and Shelf Life Management 3
    • Probiotics and Fermented Foods 7

Haoxin Lv

34 papers receiving 389 citations

Peers

Haoxin Lv
Comparison fields: 5 of 70
  • Food Science 145
  • Agronomy and Crop Science 46
  • Nutrition and Dietetics 56
  • Plant Science 123
  • Forestry 11
Replace Shirley Kuhnen with:
Shirley Kuhnen Brazil
Pranjal Yadava India
Roostita Lobo Balia Indonesia
Qi An China
Yash D. Jagdale India
Carlos Alberto de Almeida Gadelha Brazil
Oluwawapelumi A. Oyedele Nigeria
Philip T Feldsine United States
Eliane Rolim Florentino Brazil
Sophie Comtet-Marre France
Haoxin Lv relative to Shirley Kuhnen Brazil Shirley Kuhnen's profile →
Citations per field
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Shirley Kuhnen · 1×
Citations per year

Countries citing papers authored by Haoxin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Haoxin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 202327
3 201626
4 202225
5 201824
6 202024
7 202320
8 202317
9 201616
10 202015
11 202414
12 202213
13 202312
14 202112
15 202312
16 202011
17 201710
18 201810
19 20238
20 20238

About Haoxin Lv

Haoxin Lv is a scholar working on Plant Science, Food Science, Molecular Biology, Nutrition and Dietetics and Agronomy and Crop Science, having authored 35 papers that have together received 393 indexed citations. Recurring topics across this work include GABA and Rice Research (7 papers), Probiotics and Fermented Foods (7 papers), Food composition and properties (6 papers), Rice Cultivation and Yield Improvement (4 papers), Microbial metabolism and enzyme function (4 papers), Coconut Research and Applications (3 papers), Postharvest Quality and Shelf Life Management (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Food Science (145 citations), Agronomy and Crop Science (46 citations), Nutrition and Dietetics (56 citations), Plant Science (123 citations) and Forestry (11 citations). Haoxin Lv has collaborated with scholars based in China, Japan and Türkiye. Frequent co-authors include Akio Tani, Zhongfang Tan, Nurettin Şahin, Yanfei Li, Miao Zhang, Yan Zhao, Hua Zhang, Xing Wang, Huili Pang and Yuan Liu. Their work appears in journals such as Foods, Frontiers in Microbiology, Food Bioscience, Food Chemistry and Postharvest Biology 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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