Ying Yang

128 papers receiving 3.8k citations

Ying Yang's Hit Papers

Hepatogastroenterology 2011 · 975 citations
9750+5+10Years since publication250500750

Peers

Ying Yang
Comparison fields: 5 of 166
  • Hepatology 186
  • Pharmacology 172
  • Endocrine and Autonomic Systems 126
  • Applied Microbiology and Biotechnology 28
  • Toxicology 51
Replace Michael D. Wiese with:
Michael D. Wiese Australia
Mi Kyung Kim South Korea
Xuehong Zhang United States
Julie A. Ross United States
Olga Golubnitschaja Germany
Walter Jäger Austria
Te‐Chun Hsia Taiwan
Daryl J. Murry United States
Lorne J. Hofseth United States
Mario Del Tacca Italy
Ying Yang relative to Michael D. Wiese Australia Michael D. Wiese's profile →
Citations per field
00.5×
Michael D. Wiese · 1×
Citations per year

Countries citing papers authored by Ying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hepatogastroenterology
Hit paper breakdown →
2011975
2 2006119
3 2008111
4 200896
5 202175
6 200872
7 202070
8 202168
9 200666
10 200562
11 201162
12 202060
13 201058
14 200757
15 201355
16 202154
17 201754
18 201954
19 201753
20 202052

About Ying Yang

Ying Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Economics and Econometrics and Immunology, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (9 papers), Protein Structure and Dynamics (9 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Peptidase Inhibition and Analysis (5 papers), Blood Pressure and Hypertension Studies (4 papers), Adipose Tissue and Metabolism (4 papers), Protein Tyrosine Phosphatases (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Hepatology (186 citations), Pharmacology (172 citations), Endocrine and Autonomic Systems (126 citations), Applied Microbiology and Biotechnology (28 citations) and Toxicology (51 citations). Ying Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Li, Ming Lu, Lin Shen, Zongfu Mao, Ming‐Dao Chen, Libin Zhou, Boren Jiang, Wenbin Shang, Hua Jin and Huanxiang Liu. Their work appears in journals such as Frontiers in Pharmacology, European Journal of Medicinal Chemistry, International Journal of Environmental Research and Public Health, Journal of Chemical Information and Modeling and Molecular BioSystems.

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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