Kun Lu

8.2k citations
175 papers · 4.3k indexed · h-index 37

Impact in

  • Virology top 2%
  • Plant Science top 0.5%
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism

Papers in

    • Plant Molecular Biology Research 41
    • Plant nutrient uptake and metabolism 24
    • Plant Stress Responses and Tolerance 23
    • Lipid metabolism and biosynthesis 20

Kun Lu

163 papers receiving 4.3k citations

Peers

Kun Lu
Comparison fields: 5 of 116
  • Virology 360
  • Plant Science 2.4k
  • Biochemistry 407
  • Molecular Biology 2.8k
  • Biochemistry 109
Replace Dominique Thomas with:
Dominique Thomas France
Dao‐Xiu Zhou France
Philippe Raymond France
Junji Yamaguchi Japan
Emmanuel Courcelle France
Naoki Kishimoto Japan
Xiaolin Wang China
Simone Ottonello Italy
Daniel H. González Argentina
John D. Williamson United States
Kun Lu relative to Dominique Thomas France Dominique Thomas's profile →
Citations per field
00.5×7.7×
Dominique Thomas · 1×
Citations per year

Countries citing papers authored by Kun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015208
2 2011203
3 2011186
4 2015130
5 2015108
6 2009108
7 200898
8 200597
9 201380
10 201379
11 201278
12 201378
13 201275
14 201875
15 201774
16 201672
17 201870
18 201763
19 201963
20 201760

About Kun Lu

Kun Lu is a scholar working on Plant Science, Biochemistry, Molecular Biology, Virology and Biotechnology, having authored 175 papers that have together received 4.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (41 papers), Photosynthetic Processes and Mechanisms (41 papers), Plant Gene Expression Analysis (34 papers), Nitrogen and Sulfur Effects on Brassica (30 papers), Plant nutrient uptake and metabolism (24 papers), Plant Stress Responses and Tolerance (23 papers), Lipid metabolism and biosynthesis (20 papers) and Plant biochemistry and biosynthesis (17 papers). The work is most often cited by research in Virology (360 citations), Plant Science (2.4k citations), Biochemistry (407 citations), Molecular Biology (2.8k citations) and Biochemistry (109 citations). Kun Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiana Li, Cunmin Qu, Michael F. Summers, Xiao Heng, Liezhao Liu, Xinfu Xu, Hongju Jian, Lijuan Wei, Hai Du and Ying Liang. Their work appears in journals such as Frontiers in Plant Science, International Journal of Molecular Sciences, Genes, PLoS ONE and Plants.

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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