Changyan Wang

502 citations
34 papers · 332 · h-index 11

Impact in

    • interferon and immune responses
    • Complement system in diseases
    • Platelet Disorders and Treatments

Papers in

Changyan Wang

29 papers receiving 327 citations

Peers

Changyan Wang
Comparison fields: 5 of 75
  • Immunology 80
  • Hematology 28
  • Nephrology 16
  • Rehabilitation 13
  • Radiology, Nuclear Medicine and Imaging 38
Replace Oliver Aust with:
Oliver Aust Germany
Andrea Perné Germany
Ritsuo Watanabe Japan
Hacer Sahin Germany
Thierry Flandre Switzerland
Changchun Li China
Yueh‐Feng Wu Taiwan
Stanley E. Waintraub United States
Jianchun Zhang China
Giulia Pucci Italy
Changyan Wang relative to Oliver Aust Germany Oliver Aust's profile →
Citations per field
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Citations per year

Countries citing papers authored by Changyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202149
2 202237
3 202328
4 202427
5 201925
6 202018
7 202215
8 202314
9 201714
10 202112
11 202211
12 202410
13 20199
14 20257
15 20247
16 20236
17 20226
18 20235
19 20205
20 20235

About Changyan Wang

Changyan Wang is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Hematology, Physiology and Molecular Biology, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), AI in cancer detection (2 papers), Blood groups and transfusion (2 papers), Neonatal Respiratory Health Research (2 papers), Complement system in diseases (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (80 citations), Hematology (28 citations), Nephrology (16 citations), Rehabilitation (13 citations) and Radiology, Nuclear Medicine and Imaging (38 citations). Changyan Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qi Zhang, Hongmei Song, Lin Wang, Haobo Chen, Xiaoyan Tang, Linqing Zhong, Shan Jian, Ji Li, Shichong Zhou and Jinxiang Zhang. Their work appears in journals such as Pediatric Rheumatology, Frontiers in Pediatrics, Orphanet Journal of Rare Diseases, Expert Systems with Applications and Frontiers in Immunology.

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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