Huang Yang

403 citations
6 papers · 311 · h-index 4

Impact in

Papers in

Huang Yang

6 papers receiving 304 citations

Peers

Huang Yang
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 202
  • Cellular and Molecular Neuroscience 104
  • Molecular Biology 219
  • Rehabilitation 18
  • Sensory Systems 11
Replace K.R. Eager with:
K.R. Eager Australia
Gordon M. Wahler United States
Lourdes Figueroa United States
Jean-Yves Le Guennec France
Dalia Varon Israel
Pablo Miranda Spain
Gal Sahaf Levin Israel
R. Bangalore United States
Iván A. Aréchiga‐Figueroa Mexico
N. Lowri Thomas United Kingdom
Huang Yang relative to K.R. Eager Australia K.R. Eager's profile →
Citations per field
00.5×1.5×2.3×
K.R. Eager · 1×
Citations per year

Countries citing papers authored by Huang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Huang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Huang 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 Huang Yang Line = papers co-authored together Huang Yang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1999236
2 198851
3
Effect of caffeine on glycogenolysis during exercise in endurance trained rats.
198914
4 19867
5
Varied local compositions of corn stover and their effects on pretreatment.
20102
6
セルラーゼでイカリインの酵素的分解によるバオフオシドIの調製 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター
20101

About Huang Yang

Huang Yang is a scholar working on Rehabilitation, Cell Biology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 311 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (2 papers), Exercise and Physiological Responses (2 papers), Electron Spin Resonance Studies (1 paper), Gestational Diabetes Research and Management (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Adipose Tissue and Metabolism (1 paper), Sports Performance and Training (1 paper) and Electrolyte and hormonal disorders (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (202 citations), Cellular and Molecular Neuroscience (104 citations), Molecular Biology (219 citations), Rehabilitation (18 citations) and Sensory Systems (11 citations). Huang Yang has collaborated with scholars based in United States and China. Frequent co-authors include Michael D. Stern, Long‐Sheng Song, Heping Cheng, James S.K. Sham, Kenneth R. Boheler, Eduardo Rı́os, W. W. Winder, Kerstin Carlson, R. K. Conlee and William S. Bradshaw. Their work appears in journals such as Journal of Applied Physiology, The Journal of General Physiology, Zhongcaoyao and PubMed.

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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