Kun Yang

2.3k citations
93 papers · 1.7k · h-index 25

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • Immunotherapy and Immune Responses 11
    • Immune Cell Function and Interaction 11

Kun Yang

91 papers receiving 1.7k citations

Peers

Kun Yang
Comparison fields: 5 of 122
  • Infectious Diseases 278
  • Behavioral Neuroscience 54
  • Immunology 294
  • Toxicology 45
  • Cancer Research 184
Replace Marco A. Velasco‐Velázquez with:
Marco A. Velasco‐Velázquez Mexico
Kirti Sharma India
Gianluca Sbardella Italy
Cheng‐Chieh Tsai Taiwan
Meera Srivastava United States
Mingyang Wang China
Angelo Martino Italy
John W. Trauger United States
Yuhong Guo China
Wenxin Li China
Kun Yang relative to Marco A. Velasco‐Velázquez Mexico Marco A. Velasco‐Velázquez's profile →
Citations per field
00.5×1.5×2.2×
Marco A. Velasco‐Velázquez · 1×
Citations per year

Countries citing papers authored by Kun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 200987
3 202272
4 201663
5 201449
6 201849
7 201748
8 200847
9 201246
10 202445
11 200644
12 201742
13 201240
14 202139
15 201035
16 201632
17 201032
18 200830
19 201429
20 202028

About Kun Yang

Kun Yang is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Cancer Research and Oncology, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral Infections and Vectors (12 papers), Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Viral Infections and Outbreaks Research (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Infectious Diseases (278 citations), Behavioral Neuroscience (54 citations), Immunology (294 citations), Toxicology (45 citations) and Cancer Research (184 citations). Kun Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Boquan Jin, Chaojun Song, Yuanjie Sun, Angang Yang, Dongbo Jiang, Shuya Yang, Zhuwei Xu, Xiyang Zhang, Ran Zhuang and Chunmei Zhang. Their work appears in journals such as Scientific Reports, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Cell Death and Disease and Vaccines.

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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