Xin Luan

841 citations
47 papers · 610 indexed · h-index 16
Topics
Genetic Mapping and Diversity in Plants and Animals (19 papers)Rice Cultivation and Yield Improvement (12 papers)GABA and Rice Research (8 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBritish Journal of Pharmacology

In The Last Decade

Xin Luan

44 papers receiving 606 citations

Peers

Xin Luan
Comparison fields: 5 of 85
  • Plant Science 367
  • Genetics 267
  • Molecular Biology 193
  • Immunology 55
  • Cancer Research 52
Replace Jilong Zhou with:
Jilong Zhou China
Xiaoling Zhao China
Naoko Nishikawa Japan
Peng‐Fei Zheng China
Qingqing Du China
Tailin Cui Japan
Lijuan Kong China
Mohit Verma India
Yinghui Fang China
Xinggu Lin China
Xin Luan relative to Jilong Zhou China Jilong Zhou's profile →
Citations per field
00.5×6.1×
Jilong Zhou · 1×
Citations per year

Countries citing papers authored by Xin Luan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Luan. A scholar is included among the top collaborators of Xin Luan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Luan. Xin Luan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 1
6 1
7 2
8 3
9 5
10 3
11 20
12 30
13 35
14 26
15 21
16 45
17
Serological study of human infection with avian influenza A(H9N2) virus in population with occupational exposure in China
1
18 1
19 54
20
Effects of Aging and Advanced Glycation on Gene Expression in Cerebrum and Spleen of Mice
1

About Xin Luan

Xin Luan is a scholar working on Genetics, Plant Science and Cancer Research, having authored 47 papers that have together received 610 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (19 papers), Rice Cultivation and Yield Improvement (12 papers) and GABA and Rice Research (8 papers). The work is most often cited by research in Plant Science (367 citations), Genetics (267 citations) and Obstetrics and Gynecology (44 citations). Xin Luan has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Guiquan Zhang, Haitao Zhu, Shaokui Wang, Guifu Liu, Weifeng Yang, Shanwen Ke, Xiangqian Zhang, Tzung‐Fu Hsieh, Ruizhen Zeng and Akira Karasawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and British Journal of Pharmacology.

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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