Hongyu Yang

1.1k total citations
11 papers, 803 citations indexed

About

Hongyu Yang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hongyu Yang has authored 11 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Hongyu Yang's work include T-cell and B-cell Immunology (4 papers), Cell Adhesion Molecules Research (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). Hongyu Yang is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Cell Adhesion Molecules Research (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). Hongyu Yang collaborates with scholars based in United States and China. Hongyu Yang's co-authors include Cornelia M. Weyand, Jörg J. Goronzy, Robert L. Frye, Stephen L. Kopecky, Giovanna Liuzzo, David R. Holmes, Brian R. Younge, Markus Kaiser, Young Mo Kang and Xiaoyu Zhang and has published in prestigious journals such as Circulation, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Hongyu Yang

11 papers receiving 783 citations

Peers

Hongyu Yang
Comparison fields: 5 of 63
  • Immunology 508
  • Rheumatology 256
  • Pulmonary and Respiratory Medicine 138
  • Epidemiology 115
  • Molecular Biology 108
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Taro Iwamoto Japan
María‐Eugenia Miranda‐Carús Spain
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Ayako Nishino Japan
Cleonice Bueno Brazil
Glenn R. Ehresmann United States
Sigong Zhang China
Ikuko Hayakawa Japan
A. Boots Netherlands
Johannes Grisar Austria
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Citations per field, relative to Hongyu Yang
Hongyu Yang · 1×
Citations per year, relative to Hongyu Yang
Hongyu Yang · 1×

Countries citing papers authored by Hongyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hongyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyu Yang. A scholar is included among the top collaborators of Hongyu 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 Hongyu Yang. Hongyu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 1
3
[Suppression of tumor growth induced by human 4-1BBL-B7-H3 gene in reconstructed immune function in severe combined immunodeficient mice].
1
4 1
5 27
6
Early immunoresponse of BALB/C mice to inactivated SARS vaccines prepared with different adjuvants
1
7 62
8 110
9 147
10 434
11 18

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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