Huan Yang

4.9k citations
74 papers · 1.8k · h-index 23

Impact in

Papers in

    • Receptor Mechanisms and Signaling 9
    • Pharmacological Receptor Mechanisms and Effects 9
    • Pancreatic function and diabetes 6

Huan Yang

73 papers receiving 1.7k citations

Peers

Huan Yang
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 494
  • Biological Psychiatry 55
  • Cellular and Molecular Neuroscience 238
  • Molecular Biology 868
  • Endocrine and Autonomic Systems 67
Replace Judith Y. Altarejos with:
Judith Y. Altarejos United States
Natalie D. Stull United States
Ross Smith Sweden
Anton Bauer Austria
Nanao Horike Japan
Miguel Lucas Spain
Teresa L. Johnson‐Pais United States
Shan Jiang China
Gina Lee United States
Keizo Kasono Japan
Huan Yang relative to Judith Y. Altarejos United States Judith Y. Altarejos's profile →
Citations per field
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Judith Y. Altarejos · 1×
Citations per year

Countries citing papers authored by Huan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Huan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999181
2 1997144
3 1998124
4 201583
5 201974
6 199773
7 201968
8 202068
9 202249
10 201747
11 199539
12 202337
13 199433
14 201831
15 202131
16 201730
17 202029
18 201529
19 202128
20 199026

About Huan Yang

Huan Yang is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Diet and metabolism studies (6 papers), Pancreatic function and diabetes (6 papers), Aortic aneurysm repair treatments (6 papers), Neuropeptides and Animal Physiology (6 papers) and Clinical Nutrition and Gastroenterology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (494 citations), Biological Psychiatry (55 citations), Cellular and Molecular Neuroscience (238 citations), Molecular Biology (868 citations) and Endocrine and Autonomic Systems (67 citations). Huan Yang has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Chahrzad Montrose‐Rafizadeh, Buel D. Rodgers, Denise M. Ney, Marshall H. Montrose, Jesse Roth, Lian‐Wang Guo, Paul Schalch, Bo Liu, Timur Mavlyutov and John Eng. Their work appears in journals such as Journal of Biological Chemistry, Cell Death and Disease, Metabolism, Journal of Nutrition and Frontiers in Oncology.

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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