Jun Guo

4.7k citations
117 papers · 3.3k · h-index 31

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • MicroRNA in disease regulation

Papers in

    • Peripheral Neuropathies and Disorders 12
    • Myasthenia Gravis and Thymoma 11
    • Autoimmune Neurological Disorders and Treatments 5

Jun Guo

106 papers receiving 3.3k citations

Peers

Jun Guo
Comparison fields: 5 of 122
  • Immunology 1.1k
  • Cancer Research 285
  • Neurology 247
  • Oncology 412
  • Infectious Diseases 277
Replace Tomoh Matsumiya with:
Tomoh Matsumiya Japan
Fang Liu China
Andrea Fattorossi Italy
Alberto Faggioni Italy
Xuebin Qin United States
Wang Jae Lee South Korea
Kwang Dong Kim South Korea
Gabriele Schoedon Switzerland
Ourania Tsitsilonis Greece
Syed R. Ali United States
Jun Guo relative to Tomoh Matsumiya Japan Tomoh Matsumiya's profile →
Citations per field
00.5×1.6×
Tomoh Matsumiya · 1×
Citations per year

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004317
2 2002215
3 2011195
4 2009195
5 2013151
6 1995143
7 2012126
8 2003112
9 201296
10 200985
11 201876
12 202064
13 200261
14 200257
15 200352
16 201050
17 200348
18 201245
19 200744
20 202340

About Jun Guo

Jun Guo is a scholar working on Molecular Biology, Neurology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Peripheral Neuropathies and Disorders (12 papers), Myasthenia Gravis and Thymoma (11 papers), Multiple Sclerosis Research Studies (11 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers), Autoimmune Neurological Disorders and Treatments (5 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (285 citations), Neurology (247 citations), Oncology (412 citations) and Infectious Diseases (277 citations). Jun Guo has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Xuetao Cao, Taoyong Chen, Mingjin Yang, Huazhang An, Minghui Zhang, Viswanath P. Kurup, Chaofeng Han, Zhenhong Guo, Yizhi Yu and Xuhui Zhu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Neurology, PLoS ONE, Biochemical and Biophysical Research Communications and BMC Neurology.

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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