Yating Wang

664 citations
15 papers · 466 · 1 hit paper · h-index 8

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Cancer Immunotherapy and Biomarkers 1

Yating Wang

13 papers receiving 453 citations

Yating Wang's Hit Papers

Effects of aerobic exercise on lipids and lipoproteins 2017 · 316 citations
3160+3+6Years since publication100200300

Peers

Yating Wang
Comparison fields: 5 of 78
  • Complementary and alternative medicine 45
  • Physiology 120
  • Endocrinology, Diabetes and Metabolism 59
  • Nephrology 20
  • Cardiology and Cardiovascular Medicine 58
Replace Amanda R. Scelsi with:
Amanda R. Scelsi United States
Onanong Kulaputana Thailand
Anel Gómez‐García Mexico
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Semin Melahat Fenkçi Türkiye
Debasish Kar United Kingdom
António Bovolini Portugal
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Yating Wang relative to Amanda R. Scelsi United States Amanda R. Scelsi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yating Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yating Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Effects of aerobic exercise on lipids and lipoproteins
Hit paper breakdown →
2017316
2 202040
3 201831
4 201718
5 202115
6 202311
7 202311
8 20249
9 20246
10 20174
11 20232
12 20192
13 20251
14 20250
15 20260

About Yating Wang

Yating Wang is a scholar working on Hepatology, Oncology, Nephrology, Epidemiology and Neurology, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Dialysis and Renal Disease Management (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Complementary and alternative medicine (45 citations), Physiology (120 citations), Endocrinology, Diabetes and Metabolism (59 citations), Nephrology (20 citations) and Cardiology and Cardiovascular Medicine (58 citations). Yating Wang has collaborated with scholars based in China and United States. Frequent co-authors include Li Shen, Ming‐Xi Zang, Rongrong Zhao, Yingwu Mei, Yang Mi, Yan Chun Xu, Qian Yu, Jiani Shen, Mikin V. Patel and Osman Ahmed. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Blood Purification, Cancer, Journal of Cancer and Lipids in Health and Disease.

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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