Xiaoping Yang

2.7k citations
64 papers · 1.9k · h-index 20

Impact in

Papers in

    • Plant Gene Expression Analysis 4
    • Receptor Mechanisms and Signaling 3
    • Postharvest Quality and Shelf Life Management 4
    • Plant Physiology and Cultivation Studies 3

Xiaoping Yang

59 papers receiving 1.8k citations

Peers

Xiaoping Yang
Comparison fields: 5 of 128
  • Biological Psychiatry 32
  • Molecular Biology 870
  • Complementary and Manual Therapy 18
  • Endocrine and Autonomic Systems 53
  • Biomaterials 110
Replace Yuyang Miao with:
Yuyang Miao China
Jiaqi Chu China
Jing Lan China
Yan He China
Xingsheng Li China
Tullio Genova Italy
Hiroshi Kimura Japan
Zhongming Chen China
Sonia Scarfı̀ Italy
Changlong Li China
Xiaoping Yang relative to Yuyang Miao China Yuyang Miao's profile →
Citations per field
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Yuyang Miao · 1×
Citations per year

Countries citing papers authored by Xiaoping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014412
2 2015196
3 2007137
4 201697
5 201195
6 200886
7 200776
8 199462
9 201744
10 202442
11 202142
12 201736
13 200834
14 202234
15 201532
16 201930
17 201526
18 201625
19 200925
20 199621

About Xiaoping Yang

Xiaoping Yang is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Postharvest Quality and Shelf Life Management (4 papers), Plant Gene Expression Analysis (4 papers), Neuropeptides and Animal Physiology (4 papers), Fiber-reinforced polymer composites (4 papers), Plant Physiology and Cultivation Studies (3 papers), Receptor Mechanisms and Signaling (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Molecular Biology (870 citations), Complementary and Manual Therapy (18 citations), Endocrine and Autonomic Systems (53 citations) and Biomaterials (110 citations). Xiaoping Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shankar Balasubramanian, Adele Murrell, Santiago Uribe‐Lewis, Martin Bachman, Michael J. Williams, Nour‐Eddine Rhaleb, Oscar A. Carretero, Gang Sui, Ming Zhu and Shen Zhang. Their work appears in journals such as Horticulturae, International Journal of Molecular Sciences, BMC Nephrology, Food Bioscience 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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