Lu Bian

526 citations
21 papers · 371 · h-index 11

Impact in

Papers in

    • Plant Gene Expression Analysis 5
    • Photosynthetic Processes and Mechanisms 2
    • Plant-Microbe Interactions and Immunity 5
    • Plant Stress Responses and Tolerance 4
    • Horticultural and Viticultural Research 4
    • Plant Parasitism and Resistance 2

Lu Bian

19 papers receiving 370 citations

Peers

Lu Bian
Comparison fields: 5 of 64
  • Molecular Medicine 40
  • Endocrinology 26
  • Plant Science 188
  • Food Science 70
  • Endocrine and Autonomic Systems 20
Replace Yuanjie Zhou with:
Yuanjie Zhou China
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Shulei Jia China
Siew Ping Lim Japan
Su-Hyun Kim South Korea
Eduardo Abreo Uruguay
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Birte K. Scholz Germany
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Lu Bian relative to Yuanjie Zhou China Yuanjie Zhou's profile →
Citations per field
00.5×6.4×
Yuanjie Zhou · 1×
Citations per year

Countries citing papers authored by Lu Bian

Since Specialization
Citations

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

Fields of papers citing papers by Lu Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 202162
3 201945
4 201937
5 201928
6 202126
7 202020
8 202115
9 201512
10 201911
11 202211
12 201510
13 20169
14 20217
15 20206
16 20244
17 20234
18 20191
19 20141
20 20250

About Lu Bian

Lu Bian is a scholar working on Molecular Biology, Plant Science, Genetics, Cell Biology and Food Science, having authored 21 papers that have together received 371 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (5 papers), Plant-Microbe Interactions and Immunity (5 papers), Plant Stress Responses and Tolerance (4 papers), Horticultural and Viticultural Research (4 papers), Biotin and Related Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Plant Parasitism and Resistance (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Molecular Medicine (40 citations), Endocrinology (26 citations), Plant Science (188 citations), Food Science (70 citations) and Endocrine and Autonomic Systems (20 citations). Lu Bian has collaborated with scholars based in China, Estonia and India. Frequent co-authors include Keke Yu, Da‐Long Guo, Yi‐He Yu, Guohai Zhang, Qian Liang, Sebastián Leptihn, Jintao He, Xiaoting Hua, Meixia Wang and Jun Wu. Their work appears in journals such as Scientia Horticulturae, PLoS ONE, BMC Genomics, Journal of Integrative Agriculture and Food Research International.

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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