Junbao Yang

2.0k citations
55 papers · 1.4k indexed · h-index 22

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

    • Immune Cell Function and Interaction 22
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 9
    • Diabetes and associated disorders 12
    • Virus-based gene therapy research 5

Junbao Yang

54 papers receiving 1.4k citations

Peers

Junbao Yang
Comparison fields: 5 of 100
  • Immunology 742
  • Genetics 495
  • Endocrinology, Diabetes and Metabolism 179
  • Infectious Diseases 116
  • Surgery 271
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Citations per field
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Citations per year

Countries citing papers authored by Junbao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junbao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008107
2 201499
3 201290
4 200687
5 200573
6 199868
7 200666
8 201765
9 201159
10 200647
11 200846
12 201339
13 201238
14 201736
15 201735
16 200434
17 201430
18 201728
19 200825
20 200423

About Junbao Yang

Junbao Yang is a scholar working on Immunology, Genetics, Aging, Urology and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (13 papers), Diabetes and associated disorders (12 papers), Immunotherapy and Immune Responses (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), vaccines and immunoinformatics approaches (6 papers), Virus-based gene therapy research (5 papers) and Protein purification and stability (4 papers). The work is most often cited by research in Immunology (742 citations), Genetics (495 citations), Endocrinology, Diabetes and Metabolism (179 citations), Infectious Diseases (116 citations) and Surgery (271 citations). Junbao Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include William W. Kwok, Eddie A. James, Carla J. Greenbaum, Nancy A. Danke, Michelle Roti, Jim Xiang, I‐Ting Chow, Helena Reijonen, Jonathan H. DeLong and Terence Moyana. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Immunology, Journal of Autoimmunity and Proceedings of the National Academy of Sciences.

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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