Sujun Liu

522 citations
42 papers · 395 · h-index 13

Impact in

Papers in

    • Gut microbiota and health 5
    • Plant Gene Expression Analysis 4
    • CRISPR and Genetic Engineering 3
    • Advanced biosensing and bioanalysis techniques 3
    • Plant Molecular Biology Research 7
    • Wheat and Barley Genetics and Pathology 3
    • Plant Virus Research Studies 3

Sujun Liu

41 papers receiving 392 citations

Peers

Sujun Liu
Comparison fields: 5 of 105
  • Plant Science 132
  • Agronomy and Crop Science 33
  • Biochemistry 16
  • Catalysis 16
  • Molecular Biology 145
Replace Françoise Labalette with:
Françoise Labalette France
Bernard Rice Ireland
Chenghong Liu China
Haijian Cheng China
E. J. Soltes United States
Dandan Yang China
Tang Liang China
Yanlin Wang China
Kwadwo Gyapong Agyenim‐Boateng China
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Citations per field
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Françoise Labalette · 1×
Citations per year

Countries citing papers authored by Sujun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Sujun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 202050
3 202036
4 202227
5 202221
6 202121
7 202318
8 201116
9 202114
10 202413
11 201713
12 201312
13 201912
14 202210
15 20229
16 20229
17 20217
18 20215
19 20244
20 20204

About Sujun Liu

Sujun Liu is a scholar working on Molecular Biology, Plant Science, Nutrition and Dietetics, Biomedical Engineering and Agronomy and Crop Science, having authored 42 papers that have together received 395 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Food composition and properties (6 papers), Gut microbiota and health (5 papers), Plant Gene Expression Analysis (4 papers), Wheat and Barley Genetics and Pathology (3 papers), Plant Virus Research Studies (3 papers), CRISPR and Genetic Engineering (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Plant Science (132 citations), Agronomy and Crop Science (33 citations), Biochemistry (16 citations), Catalysis (16 citations) and Molecular Biology (145 citations). Sujun Liu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Ying Cheng, Qiong Tang, Yingxin Xie, Chenyang Wang, Dongyun Ma, Hongfang Lü, Huolin Shen, Haoran Wang, Liang Sun and Xin Huang. Their work appears in journals such as International Journal of Molecular Sciences, Inflammation Research, Scientific Reports, Food Research International and International Journal of Biological Macromolecules.

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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