Yaying Wang

814 citations
36 papers · 564 · h-index 11

Impact in

Papers in

    • Soybean genetics and cultivation 6
    • Legume Nitrogen Fixing Symbiosis 5
    • Plant Molecular Biology Research 3
    • Plant Virus Research Studies 3
    • Plant tissue culture and regeneration 3

Yaying Wang

33 papers receiving 549 citations

Peers

Yaying Wang
Comparison fields: 5 of 76
  • Urology 94
  • Horticulture 8
  • Plant Science 306
  • Rheumatology 111
  • Pharmaceutical Science 27
Replace Bruno Martínez-Leo with:
Bruno Martínez-Leo United States
Ali Akbar Shabani Iran
B. Closs France
Márcio José Poças-Fonseca Brazil
Shoumin Zhang China
Thomas J Burnett United States
Prateeksha Prateeksha United States
Liping Wu China
Haruhiko Washida Japan
Yang Xue China
Yaying Wang relative to Bruno Martínez-Leo United States Bruno Martínez-Leo's profile →
Citations per field
00.5×9.4×
Bruno Martínez-Leo · 1×
Citations per year

Countries citing papers authored by Yaying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004119
2 201686
3 201151
4 201641
5 202237
6 201733
7 201429
8 201824
9 201522
10 202216
11 201712
12 201610
13 20229
14 20229
15 20098
16 20217
17 20235
18 20235
19
Characterization and subcellular localization of two 14-3-3 genes and their response to abiotic stress in wheat.
20145
20 20235

About Yaying Wang

Yaying Wang is a scholar working on Plant Science, Molecular Biology, Cancer Research, Epidemiology and Agronomy and Crop Science, having authored 36 papers that have together received 564 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Cancer-related molecular mechanisms research (4 papers), Plant Molecular Biology Research (3 papers), Plant Virus Research Studies (3 papers), Plant tissue culture and regeneration (3 papers), Agronomic Practices and Intercropping Systems (3 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Urology (94 citations), Horticulture (8 citations), Plant Science (306 citations), Rheumatology (111 citations) and Pharmaceutical Science (27 citations). Yaying Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Alex C. Wang, Min‐Chi Chen, Bernard A. Hauser, Peter Hanson, Jaw‐Fen Wang, Shu‐Fen Lu, Zhengjun Xia, Hong Zhai, Hongyan Wu and L. Kenyon. Their work appears in journals such as Scientific Reports, Frontiers in Veterinary Science, BMC Genomics, PLANT PHYSIOLOGY and Planta.

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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