Sha Yang

2.1k citations
68 papers · 1.2k · h-index 20

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Peanut Plant Research Studies
    • Legume Nitrogen Fixing Symbiosis
    • Plant Micronutrient Interactions and Effects
    • Plant-Microbe Interactions and Immunity

Papers in

    • Plant Stress Responses and Tolerance 20
    • Plant Molecular Biology Research 18
    • Peanut Plant Research Studies 13
    • Light effects on plants 7
    • Legume Nitrogen Fixing Symbiosis 5
    • Plant Parasitism and Resistance 5
    • Photosynthetic Processes and Mechanisms 15
    • Plant Gene Expression Analysis 7

Sha Yang

61 papers receiving 1.2k citations

Peers

Sha Yang
Comparison fields: 5 of 102
  • Plant Science 763
  • Horticulture 10
  • Biochemistry 60
  • Molecular Medicine 46
  • Molecular Biology 634
Replace Guohu Chen with:
Guohu Chen China
Hairong Zhang China
Se Won Park South Korea
Mohammad Nisar Pakistan
Ning Yu China
Bonnie S. Watson United States
Ren‐Jie Tang China
Sha Yang relative to Guohu Chen China Guohu Chen's profile →
Citations per field
00.5×3.8×
Guohu Chen · 1×
Citations per year

Countries citing papers authored by Sha Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 201997
3 200978
4 201270
5 201147
6 201446
7 201045
8 201941
9 201840
10 201339
11 201734
12 201732
13 201731
14 201730
15 202028
16 201927
17 201727
18 201922
19 202321
20 201720

About Sha Yang

Sha Yang is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Epidemiology and Biochemistry, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (20 papers), Plant Molecular Biology Research (18 papers), Photosynthetic Processes and Mechanisms (15 papers), Peanut Plant Research Studies (13 papers), Plant Gene Expression Analysis (7 papers), Light effects on plants (7 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Plant Parasitism and Resistance (5 papers). The work is most often cited by research in Plant Science (763 citations), Horticulture (10 citations), Biochemistry (60 citations), Molecular Medicine (46 citations) and Molecular Biology (634 citations). Sha Yang has collaborated with scholars based in China, Thailand and France. Frequent co-authors include Shubo Wan, Xinguo Li, Feng Guo, Qingwei Meng, Jingjing Meng, Quan Wang, Xianfeng Tang, Jialei Zhang, Zhe Sun and Zhiqi Song. Their work appears in journals such as Plant Cell Reports, Horticulture Research, Scientific Reports, Agronomy and Frontiers in Plant Science.

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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