Wei Ya

609 citations
29 papers · 459 · h-index 7

Impact in

Papers in

Wei Ya

28 papers receiving 450 citations

Peers

Wei Ya
Comparison fields: 5 of 82
  • Applied Microbiology and Biotechnology 19
  • Biochemistry 43
  • Geriatrics and Gerontology 24
  • Cancer Research 66
  • Molecular Biology 274
Replace K Miyamoto with:
K Miyamoto Japan
Juni Chakraborty India
Dongliang Wang China
Ewa Totoń Poland
Susana Sánchez‐Tena Spain
Serina King United States
Yao-Ping Lu United States
Robert Kleszcz Poland
Jessica Tang United States
Nader S. Shenouda United States
Wei Ya relative to K Miyamoto Japan K Miyamoto's profile →
Citations per field
00.5×4.7×
K Miyamoto · 1×
Citations per year

Countries citing papers authored by Wei Ya

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Induction of apoptosis by caffeine is mediated by the p53, Bax, and caspase 3 pathways.
2003123
2 200182
3 200172
4 200342
5 200040
6
Asbestos induces activator protein-1 transactivation in transgenic mice.
199935
7 201419
8 20236
9
Inhibition of arsenite-induced apoptosis by aspirin.
20025
10
Volatile Component Analysis of Different Parts of Sturgeon
20124
11
Primary Study of the Nutrient Contents in the Flesh and Cortex of Cassava Root
20153
12
Effect of Nitrogen Supply on Early Kernel Development and Yield in Summer Maize (Zea mays L.)
20063
13 20172
14 20252
15
Antioxidant activity of rosemary and its effect on oxidation stability of algal oil.
20152
16
Study on Penaeus vannamei quality changes during frozen storage.
20102
17 20242
18 20242
19 20242
20 20242

About Wei Ya

Wei Ya is a scholar working on Molecular Biology, Aquatic Science, Oncology, Food Science and Animal Science and Zoology, having authored 29 papers that have together received 459 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (6 papers), Food Quality and Safety Studies (3 papers), Meat and Animal Product Quality (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer-related Molecular Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (19 citations), Biochemistry (43 citations), Geriatrics and Gerontology (24 citations), Cancer Research (66 citations) and Molecular Biology (274 citations). Wei Ya has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zigang Dong, Ann M. Bode, Chung S. Yang, Takashi Hashimoto, Zhiwei He, Masaaki Nomura, K Miyamoto, Akira Kaji, Zhiwei He and Hidemasa Goto. Their work appears in journals such as Journal of Biological Chemistry, Food Bioscience, Food Chemistry, The Oncologist and BMC Anesthesiology.

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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