Junyi Guo

1.8k citations
37 papers · 488 · h-index 13

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Periodontics top 10%

Papers in

Junyi Guo

31 papers receiving 485 citations

Peers

Junyi Guo
Comparison fields: 5 of 79
  • Immunology 149
  • Periodontics 22
  • Oncology 130
  • Biological Psychiatry 8
  • Cancer Research 42
Replace Sunil K. Noothi with:
Sunil K. Noothi United States
В. В. Соболев Russia
Jiangbo Yu China
T. Navin United Kingdom
Xuan Luo China
Selin Gencer Germany
Basavaraj Vastrad India
Yuhei Takada Japan
Neşe Ünver Türkiye
Manbo Cai China
Junyi Guo relative to Sunil K. Noothi United States Sunil K. Noothi's profile →
Citations per field
00.5×3.7×
Sunil K. Noothi · 1×
Citations per year

Countries citing papers authored by Junyi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202268
2 202245
3 202242
4 202040
5 202027
6 202126
7 202024
8 202024
9 202123
10 201818
11 202218
12 202017
13 202014
14 202412
15 202212
16 202311
17 20229
18 20248
19 20227
20 20237

About Junyi Guo

Junyi Guo is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Oncology, Molecular Biology and Physiology, having authored 37 papers that have together received 488 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cardiovascular Function and Risk Factors (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (4 papers), Oral microbiology and periodontitis research (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Immunology (149 citations), Periodontics (22 citations), Oncology (130 citations), Biological Psychiatry (8 citations) and Cancer Research (42 citations). Junyi Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhi Wang, Jiagao Lv, Shuqiong Wen, Huanzi Lu, Wenxiao Dai, Dikan Wang, Shengqi Huo, Juan Fang, Sheng Li and Wei Shi. Their work appears in journals such as Frontiers in Immunology, International Journal of Biological Sciences, BMC Oral Health, Pacing and Clinical Electrophysiology and Journal of Leukocyte Biology.

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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