Hai Long Piao

858 citations
12 papers · 626 indexed · h-index 9
Topics
Plant Molecular Biology Research (7 papers)Chromosomal and Genetic Variations (5 papers)Plant nutrient uptake and metabolism (3 papers)
Partner nations
South KoreaJapanCanada

In The Last Decade

Hai Long Piao

12 papers receiving 614 citations

Peers

Hai Long Piao
Comparison fields: 5 of 31
  • Plant Science 607
  • Molecular Biology 306
  • Genetics 104
  • Biomedical Engineering 17
  • Ecology, Evolution, Behavior and Systematics 14
Replace Sung Han Park with:
Sung Han Park South Korea
Shihua Cheng China
Zhenying Dong China
Bradford D. Hall United States
Ruizhen Qin China
M. K. U. Chowdhury United States
Hiroaki Matsusaka Japan
Akie Kobayashi Japan
Sabine Hantke United Kingdom
George Stamatiou Canada
Hai Long Piao relative to Sung Han Park South Korea Sung Han Park's profile →
Citations per field
00.5×1.5×1.9×
Sung Han Park · 1×
Citations per year

Countries citing papers authored by Hai Long Piao

Since Specialization
Citations

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

Fields of papers citing papers by Hai Long Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Long Piao

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Long Piao. A scholar is included among the top collaborators of Hai Long Piao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hai Long Piao. Hai Long Piao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 54
2 91
3 16
4 106
5 139
6
Identification of an Optimal Set of Random Amplified Polymorphic DNA Primers to Distinguish among Ten Strawberry Cultivars in Korea and Japan
2
7 28
8 20
9 139
10 7
11 1
12 23

About Hai Long Piao

Hai Long Piao is a scholar working on Plant Science, Genetics and Environmental Chemistry, having authored 12 papers that have together received 626 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Chromosomal and Genetic Variations (5 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Plant Science (607 citations), Molecular Biology (306 citations) and Genetics (104 citations). Hai Long Piao has collaborated with scholars based in South Korea, Japan and Canada. Frequent co-authors include Byoung Il Je, Soon Ju Park, Chang‐deok Han, Chul Min Kim, Su Hyun Park, Sung Han Park, Jin Huang, Moo Young Eun, Yuanhu Xuan and Gynheung An. Their work appears in journals such as Nucleic Acids Research, The Plant Cell 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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