Daseng Yang

12.2k citations
11 papers · 10.4k indexed · 2 hit papers · h-index 10

Daseng Yang

11 papers receiving 10.2k citations

Hit Papers

Chronic inflammation in fat plays a crucial role in the d...4.9k200320262010201810002.0k3.0k4.0k

Peers

Daseng Yang
Comparison fields: 5 of 118
  • Physiology 4.9k
  • Epidemiology 6.1k
  • Endocrine and Autonomic Systems 1.0k
  • Immunology 2.1k
  • Endocrinology, Diabetes and Metabolism 1.2k
Replace Glenn T. Barnes with:
Glenn T. Barnes United States
Andrew J. Nichols United States
Haiyan Xu China
Cem Z. Görgün United States
Chieh Jason Chou Switzerland
Jacqueline M. Stephens United States
Andrea L. Hevener United States
Koji Ohashi Japan
K. Teoman Uysal United States
Scott A. Summers United States
Daseng Yang relative to Glenn T. Barnes United States Glenn T. Barnes's profile →
Citations per field
00.5×1.5×
Glenn T. Barnes · 1×
Citations per year

Countries citing papers authored by Daseng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daseng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1
Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistancebreakdown →
20034919
2 200353
3
Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistancebreakdown →
20034796
4 199984
5 199845
6 1997104
7 199722
8 199648
9 1992267
10 19927
11 199220

About Daseng Yang

Daseng Yang is a scholar working on Obstetrics and Gynecology, Physiology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 10.4k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Alzheimer's disease research and treatments (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Physiology (4.9k citations), Epidemiology (6.1k citations) and Endocrine and Autonomic Systems (1.0k citations). Daseng Yang has collaborated with scholars based in United States and China. Frequent co-authors include Louis A. Tartaglia, Haiyan Xu, Chieh Jason Chou, Andrew J. Nichols, Hong Chen, Glenn T. Barnes, Jeffrey S. Ross, Qing Yang, Kenneth E. Clark and Lennart Mucke. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Hypertension.

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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