Hai Lan Piao

1.2k total citations · 1 hit paper
9 papers, 947 citations indexed

About

Hai Lan Piao is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Hai Lan Piao has authored 9 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Hai Lan Piao's work include Plant Stress Responses and Tolerance (3 papers), Cellular transport and secretion (3 papers) and Plant Molecular Biology Research (2 papers). Hai Lan Piao is often cited by papers focused on Plant Stress Responses and Tolerance (3 papers), Cellular transport and secretion (3 papers) and Plant Molecular Biology Research (2 papers). Hai Lan Piao collaborates with scholars based in South Korea, United States and Germany. Hai Lan Piao's co-authors include Inhwan Hwang, Wolfram Hartung, June M. Kwak, Kwang Hee Lee, In‐Jung Lee, Ildoo Hwang, Fan Jiang, Ho‐Youn Kim, Jeong Hwa Lim and Gregory S. Payne and has published in prestigious journals such as Cell, The EMBO Journal and PLANT PHYSIOLOGY.

In The Last Decade

Hai Lan Piao

9 papers receiving 920 citations

Hit Papers

Activation of Glucosidase via Stress-Induced Polymerizati... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Hai Lan Piao
Comparison fields: 5 of 64
  • Plant Science 755
  • Molecular Biology 532
  • Cell Biology 105
  • Global and Planetary Change 34
  • Biotechnology 32
Replace Martin P. Leube with:
Martin P. Leube Spain
Consuelo Montesinos Spain
Núbia Barbosa Eloy Brazil
Rosa López-Cobollo United Kingdom
Junro Mogami Japan
Tadeusz Rorat Poland
Aliza Finkler Israel
Carol J. Rivin United States
Kate Parsley United Kingdom
Wenxin Liu China
Martin P. Leube Spain View profile →
Citations per field, relative to Hai Lan Piao
Hai Lan Piao · 1×
Citations per year, relative to Hai Lan Piao
Hai Lan Piao · 1×

Countries citing papers authored by Hai Lan Piao

Since Specialization
Citations

This map shows the geographic impact of Hai Lan 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 Lan 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 Lan Piao more than expected).

Fields of papers citing papers by Hai Lan Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Lan Piao. A scholar is included among the top collaborators of Hai Lan 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 Lan Piao. Hai Lan Piao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 16
2 25
3
Activation of Glucosidase via Stress-Induced Polymerization Rapidly Increases Active Pools of Abscisic Acid breakdown →
535
4 74
5 100
6 80
7 21
8 44
9 52

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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2026