Kuan‐Ju Lu

439 citations
10 papers · 334 · h-index 8

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Light effects on plants
    • Plant Reproductive Biology
    • Plant tissue culture and regeneration
    • Photosynthetic Processes and Mechanisms
    • Plant Gene Expression Analysis

Papers in

    • Plant Molecular Biology Research 7
    • Plant nutrient uptake and metabolism 4
    • Plant Reproductive Biology 4
    • Photosynthetic Processes and Mechanisms 2

Kuan‐Ju Lu

10 papers receiving 332 citations

Peers

Kuan‐Ju Lu
Comparison fields: 5 of 45
  • Plant Science 276
  • Molecular Biology 225
  • Information Systems and Management 10
  • Marketing 11
  • Endocrinology 4
Replace Hee Chung with:
Hee Chung South Korea
Keith D. Harris Israel
Amy G. Briggs United States
Andréa Garavito France
Pamela A. Ribone Argentina
Steven D. Verhey United States
Kinga Rutowicz Switzerland
Wagdy A. Sawahel Egypt
Helena Carvalho De Lorenzo Brazil
Muhammad Arief Budiman Indonesia
Kuan‐Ju Lu relative to Hee Chung South Korea Hee Chung's profile →
Citations per field
00.5×
Hee Chung · 1×
Citations per year

Countries citing papers authored by Kuan‐Ju Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Ju Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ju Lu. 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 Kuan‐Ju Lu. The network helps show where Kuan‐Ju Lu may publish in the future.

Co-authors

The 20 scholars most cited alongside Kuan‐Ju Lu, 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 Kuan‐Ju Lu Line = papers co-authored together Kuan‐Ju Lu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2015156
2 201275
3 201925
4 201724
5 201919
6 202313
7 201811
8 20209
9 20251
10 20241

About Kuan‐Ju Lu

Kuan‐Ju Lu is a scholar working on Plant Science, Molecular Biology, Sociology and Political Science, Social Psychology and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 334 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Plant nutrient uptake and metabolism (4 papers), Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (2 papers), Digital Marketing and Social Media (2 papers), Plant Diversity and Evolution (1 paper), Death Anxiety and Social Exclusion (1 paper) and Coastal wetland ecosystem dynamics (1 paper). The work is most often cited by research in Plant Science (276 citations), Molecular Biology (225 citations), Information Systems and Management (10 citations), Marketing (11 citations) and Endocrinology (4 citations). Kuan‐Ju Lu has collaborated with scholars based in Taiwan, Netherlands and Belgium. Frequent co-authors include Dolf Weijers, Colette A. ten Hove, Wee-Kheng Tan, Tien‐Shin Yu, Chung-An Lu, Nien‐Chen Huang, Yushan Liu, Bert De Rybel, Hilda van Mourik and Florence R. Danila. Their work appears in journals such as Development, Asia Pacific Journal of Marketing and Logistics, Plant Communications, Plant Cell & Environment and RNA Biology.

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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