Lianglu Wan

481 citations
10 papers · 371 · h-index 9

Impact in

    • Plant Molecular Biology Research
    • Seed Germination and Physiology
    • Plant Stress Responses and Tolerance
    • Lipid metabolism and biosynthesis

Papers in

    • Photosynthetic Processes and Mechanisms 2
    • Advanced biosensing and bioanalysis techniques 1
    • Plant Molecular Biology Research 2
    • Plant nutrient uptake and metabolism 1

Lianglu Wan

10 papers receiving 364 citations

Peers

Lianglu Wan
Comparison fields: 5 of 78
  • Plant Science 168
  • Biochemistry 26
  • Molecular Biology 236
  • Cell Biology 45
  • Biotechnology 20
Replace Cornelia Goebel with:
Cornelia Goebel Germany
Alexander Levitan Israel
David Rouquié France
Brent V. Edington United States
Marcel Teissère France
Sabine Keppler‐Ross United States
Karin Schott Germany
Kimi Ogasawara Japan
Marcin Luzarowski Germany
Lianglu Wan relative to Cornelia Goebel Germany Cornelia Goebel's profile →
Citations per field
00.5×1.7×
Cornelia Goebel · 1×
Citations per year

Countries citing papers authored by Lianglu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lianglu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200297
2 199887
3 200762
4 201433
5 201527
6 199220
7 200920
8 199310
9 20138
10 19987

About Lianglu Wan

Lianglu Wan is a scholar working on Molecular Biology, Plant Science, Cell Biology, Biotechnology and Immunology, having authored 10 papers that have together received 371 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (2 papers), Transgenic Plants and Applications (2 papers), Hemoglobin structure and function (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Neonatal Health and Biochemistry (1 paper), Electron Spin Resonance Studies (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Plant Science (168 citations), Biochemistry (26 citations), Molecular Biology (236 citations), Cell Biology (45 citations) and Biotechnology (20 citations). Lianglu Wan has collaborated with scholars based in Canada, South Korea and China. Frequent co-authors include Gopalan Selvaraj, Xiao Qiu, Qun Xia, A. Grant Mauk, Mark B. Twitchett, Lindsay D. Eltis, Michael J. Smith, Dwayne D. Hegedus, Andrew R. S. Ross and Allison R. Kermode. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Insect Science, Biochemistry and Cell Biology, BMC Genomics and Biochemical Journal.

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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