Xiaoming Pang

2.8k citations
87 papers · 2.1k · h-index 26

Impact in

    • Plant Molecular Biology Research
    • Plant Physiology and Cultivation Studies
    • Polysaccharides and Plant Cell Walls

Papers in

    • Plant Molecular Biology Research 12
    • Plant Physiology and Cultivation Studies 9
    • Plant Reproductive Biology 12
    • Plant Gene Expression Analysis 8

Xiaoming Pang

85 papers receiving 2.0k citations

Peers

Xiaoming Pang
Comparison fields: 5 of 114
  • Horticulture 37
  • Plant Science 1.2k
  • Food Science 264
  • Molecular Biology 900
  • Genetics 339
Replace Akira Saito with:
Akira Saito Japan
Yun Lü China
Joy Roy India
Hong Chen China
Shan Wu China
M. Raveendran India
Angela R. Davis United States
Ying Zhu China
Alberto Spada Italy
Gopalan Selvaraj Canada
Xiaoming Pang relative to Akira Saito Japan Akira Saito's profile →
Citations per field
00.5×3.2×
Akira Saito · 1×
Citations per year

Countries citing papers authored by Xiaoming Pang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003338
2 2016128
3 2014127
4 2007125
5 200678
6 201763
7 201459
8 201454
9 200450
10 201448
11 201646
12 201739
13
Phylogenetic relationships among citrus and its relatives as revealed by SSR markers.
200339
14 201838
15 201434
16 201832
17 202032
18 200731
19 201330
20 201230

About Xiaoming Pang

Xiaoming Pang is a scholar working on Plant Science, Molecular Biology, Genetics, Food Science and Epidemiology, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ziziphus Jujuba Studies and Applications (17 papers), Plant Molecular Biology Research (12 papers), Plant Reproductive Biology (12 papers), Genetic diversity and population structure (11 papers), Plant Physiology and Cultivation Studies (9 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Plant Gene Expression Analysis (8 papers). The work is most often cited by research in Horticulture (37 citations), Plant Science (1.2k citations), Food Science (264 citations), Molecular Biology (900 citations) and Genetics (339 citations). Xiaoming Pang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yingyue Li, Jingjing Zhao, Lu Hou, Juntian Liu, Xiuxin Deng, Chun‐Gen Hu, Di Wu, Shuyue Wang, Xiaopeng Wen and Rongling Wu. Their work appears in journals such as Plants, PLoS ONE, The Journal of Horticultural Science and Biotechnology, BMC Plant Biology and Genes.

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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