Tuan Long

842 citations
12 papers · 565 · h-index 9

Impact in

    • Plant Molecular Biology Research
    • GABA and Rice Research
    • Chromosomal and Genetic Variations
    • Plant nutrient uptake and metabolism

Papers in

    • Plant Gene Expression Analysis 5
    • Plant biochemistry and biosynthesis 2
    • Plant Reproductive Biology 2
    • Genomics and Phylogenetic Studies 2
    • Plant Molecular Biology Research 3
    • GABA and Rice Research 3
    • Chromosomal and Genetic Variations 2
    • Plant Genetic and Mutation Studies 2

Tuan Long

12 papers receiving 559 citations

Peers

Tuan Long
Comparison fields: 5 of 42
  • Plant Science 432
  • Biochemistry 31
  • Genetics 133
  • Molecular Biology 325
  • Horticulture 2
Replace Fangchan Jiao with:
Fangchan Jiao China
Zi‐Qi Lu China
Toshiyuki Komori Japan
Daojie Sun China
Jiangshuo Su China
Huai‐Yu Zhao China
Hong‐Xiao Yu China
Hongfeng Zou China
Jang-Ho Hahn South Korea
Tuan Long relative to Fangchan Jiao China Fangchan Jiao's profile →
Citations per field
00.5×
Fangchan Jiao · 1×
Citations per year

Countries citing papers authored by Tuan Long

Since Specialization
Citations

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

Fields of papers citing papers by Tuan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008187
2 201287
3 202277
4 201173
5 202066
6 202326
7 201213
8 202212
9 20139
10 20216
11 20245
12 20234

About Tuan Long

Tuan Long is a scholar working on Molecular Biology, Plant Science, Food Science, Genetics and Biochemistry, having authored 12 papers that have together received 565 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (5 papers), Plant Molecular Biology Research (3 papers), GABA and Rice Research (3 papers), Plant biochemistry and biosynthesis (2 papers), Chromosomal and Genetic Variations (2 papers), Plant Reproductive Biology (2 papers), Genomics and Phylogenetic Studies (2 papers) and Plant Genetic and Mutation Studies (2 papers). The work is most often cited by research in Plant Science (432 citations), Biochemistry (31 citations), Genetics (133 citations), Molecular Biology (325 citations) and Horticulture (2 citations). Tuan Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qifa Zhang, Changyin Wu, Mary E. Byrne, Changjun You, Guoxing Chen, Caishun Li, Shouchuang Wang, Jun Yang, Xuecheng Zhao and Wen Yao. Their work appears in journals such as Plants, Journal of Integrative Plant Biology, Biotechnology Advances, Journal of Agricultural and Food Chemistry and PLANT PHYSIOLOGY.

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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