Xia Yang

957 citations
20 papers · 786 · h-index 13

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Signaling Pathways in Disease 2
    • Autophagy in Disease and Therapy 5
    • Liver Disease Diagnosis and Treatment 3

Xia Yang

19 papers receiving 774 citations

Peers

Xia Yang
Comparison fields: 5 of 107
  • Cancer Research 181
  • Geriatrics and Gerontology 35
  • Molecular Medicine 44
  • Biochemistry 50
  • Nutrition and Dietetics 91
Replace Stephen L. Slocum with:
Stephen L. Slocum United States
Dimiter Avtanski United States
Eun Sil Kang South Korea
Sherine M. Rizk Egypt
Ruifeng Tian China
Valeria Naponelli Italy
Kyeong-Ah Jung South Korea
Ghanshyam Upadhyay United States
Qingzheng Kang China
Daniel E. Francés Argentina
Xia Yang relative to Stephen L. Slocum United States Stephen L. Slocum's profile →
Citations per field
00.5×1.5×1.9×
Stephen L. Slocum · 1×
Citations per year

Countries citing papers authored by Xia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012287
2 201767
3 201954
4 201147
5 201146
6 201640
7 202038
8 201937
9 201936
10
MiR-22-3p suppresses cell growth via MET/STAT3 signaling in lung cancer.
202130
11 201829
12 202128
13 201820
14 20219
15 20218
16 20214
17 20233
18
[Evidence for the presence of motilin receptor and a study on the mechanism of motilin induced Ca2+ signaling in rat myenteric neurons].
20062
19 20251
20 20250

About Xia Yang

Xia Yang is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pulmonary and Respiratory Medicine and Cell Biology, having authored 20 papers that have together received 786 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Circular RNAs in diseases (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Signaling Pathways in Disease (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Cancer Research (181 citations), Geriatrics and Gerontology (35 citations), Molecular Medicine (44 citations), Biochemistry (50 citations) and Nutrition and Dietetics (91 citations). Xia Yang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hongyang Shi, Zhenni Zhang, Yong Zhang, Rongliang Xue, Yali Li, Shan Hu, Lei Dong, Ming Zhang, Qiuhong Zhang and Qiuhong Zhang. Their work appears in journals such as Lipids in Health and Disease, Oxidative Medicine and Cellular Longevity, Clinical Cancer Research, Cell Death Discovery and Scientific Reports.

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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