Jun Hong

512 citations
16 papers · 384 · h-index 13

Impact in

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune Response and Inflammation 3
    • NF-κB Signaling Pathways 4
    • Cancer-related molecular mechanisms research 2
    • Cancer, Hypoxia, and Metabolism 2

Jun Hong

16 papers receiving 381 citations

Peers

Jun Hong
Comparison fields: 5 of 84
  • Critical Care and Intensive Care Medicine 49
  • Health Informatics 9
  • Cancer Research 93
  • Nephrology 39
  • Immunology 71
Replace Guosheng Wu with:
Guosheng Wu China
Mayumi Nakahara Japan
Mary F. McGuire United States
Yohei Hirano Japan
Tianjing Zhang China
Richard Rezar Austria
Shuya Mei China
Nirvik Pal United States
Stefano Lucreziotti Italy
Jun Hong relative to Guosheng Wu China Guosheng Wu's profile →
Citations per field
00.5×4.2×
Guosheng Wu · 1×
Citations per year

Countries citing papers authored by Jun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202075
2 201550
3 202040
4 202129
5 202029
6 201623
7 202122
8 201718
9 201717
10 201516
11 201716
12 202115
13 201912
14 202010
15 20187
16 20245

About Jun Hong

Jun Hong is a scholar working on Immunology, Cancer Research, Molecular Biology, Epidemiology and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 384 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune Response and Inflammation (3 papers), Respiratory Support and Mechanisms (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ultrasound in Clinical Applications (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (49 citations), Health Informatics (9 citations), Cancer Research (93 citations), Nephrology (39 citations) and Immunology (71 citations). Jun Hong has collaborated with scholars based in China and United States. Frequent co-authors include Ren-Hua Sun, Xianghong Yang, Liang Xu, Jingquan Liu, Shi‐Jing Mo, Bangchuan Hu, Haijun Huang, Chengzhong Peng, Yan Zhao and Minhua Chen. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Theranostics, Thrombosis and Haemostasis, International Journal of Infectious Diseases and Shock.

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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