Chaoxing Yang

26 papers receiving 1.2k citations

Peers

Chaoxing Yang
Comparison fields: 5 of 99
  • Immunology and Allergy 83
  • Genetics 370
  • Endocrinology, Diabetes and Metabolism 216
  • Immunology 271
  • Surgery 506
Replace Hesarghatta Shyamasunder Asha with:
Hesarghatta Shyamasunder Asha India
H. F. Kern Germany
Carrie S. Dolman United States
Richard J. Noel Puerto Rico
Amy Galliher-Beckley United States
M. Taniguchi Japan
Luping Shen United States
Katherine J. D. A. Excoffon United States
D M Blakeley Slovakia
John Colgan United States
Chaoxing Yang relative to Hesarghatta Shyamasunder Asha India Hesarghatta Shyamasunder Asha's profile →
Citations per field
00.5×2.7×
Hesarghatta Shyamasunder Asha · 1×
Citations per year

Countries citing papers authored by Chaoxing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015221
2 2010216
3 2010149
4 201998
5 201097
6 201055
7 200947
8 201337
9 201633
10 201030
11 200828
12 201227
13 201020
14 201020
15 201618
16 201316
17 201516
18 201015
19 201511
20 201810

About Chaoxing Yang

Chaoxing Yang is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (18 papers), Diabetes and associated disorders (13 papers), Diabetes Management and Research (10 papers), Cardiomyopathy and Myosin Studies (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes Treatment and Management (3 papers), Muscle Physiology and Disorders (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Immunology and Allergy (83 citations), Genetics (370 citations), Endocrinology, Diabetes and Metabolism (216 citations), Immunology (271 citations) and Surgery (506 citations). Chaoxing Yang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dale L. Greiner, Rita Bortell, Philip diIorio, Michael A. Brehm, Aldo A. Rossini, M. Cristina Nostro, Edouard G. Stanley, Gordon Keller, Andrew M. Holland and Farida Sarangi. Their work appears in journals such as Diabetes, Biophysical Journal, PLoS ONE, Diabetes Metabolic Syndrome and Obesity and Journal of Visualized Experiments.

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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