Hua-zhang Yang

593 citations
15 papers · 435 indexed · h-index 8
Topics
Diabetes Treatment and Management (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Metabolism, Diabetes, and Cancer (4 papers)
Partner nations
China

In The Last Decade

Hua-zhang Yang

15 papers receiving 425 citations

Peers

Hua-zhang Yang
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 209
  • Physiology 127
  • Cardiology and Cardiovascular Medicine 91
  • Molecular Biology 49
  • Public Health, Environmental and Occupational Health 46
Replace Jian‐Hao Pei with:
Jian‐Hao Pei China
Signe Tellerup Nielsen Denmark
Mai‐Lis Hellénius Sweden
M. Gutt United States
Kylie A. Simpson Australia
Theresia M. Schnurr Denmark
Rumyana Dimova Bulgaria
Anne‐Sophie Wedell‐Neergaard Denmark
A Lehtonen Finland
J Viikari Finland
Hua-zhang Yang relative to Jian‐Hao Pei China Jian‐Hao Pei's profile →
Citations per field
00.5×1.5×2.1×
Jian‐Hao Pei · 1×
Citations per year

Countries citing papers authored by Hua-zhang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hua-zhang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua-zhang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua-zhang Yang. A scholar is included among the top collaborators of Hua-zhang Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hua-zhang Yang. Hua-zhang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 40
2 4
3 45
4 7
5 4
6 7
7 243
8 15
9 7
10 1
11 48
12
[High glucose up-regulates GRK2 gene expression in H9C2 cardiomyoblasts in vitro].
2
13
[A survey of glucose and lipid metabolism and concomitant diseases among inpatients in Guangdong province].
1
14 8
15
Waist/height ratio: an effective index for abdominal obesity predicting diabetes and hypertension
3

About Hua-zhang Yang

Hua-zhang Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Complementary and alternative medicine, having authored 15 papers that have together received 435 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (209 citations), Physiology (127 citations) and Endocrine and Autonomic Systems (29 citations). Hua-zhang Yang has collaborated with scholars based in China. Frequent co-authors include Hongmei Chen, Jian Kuang, Jian‐Hao Pei, Zhongwen Li, Zhong Chen, Liang Chen, Shuiqing Lai, Jinhua Yan, Jianping Weng and Xiaoying Fu. Their work appears in journals such as PLoS ONE, Metabolism and International Journal of Cardiology.

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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