Jun Gong

5.6k citations
96 papers · 3.5k indexed · 1 hit paper · h-index 32

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immune Response and Inflammation

Papers in

    • Cancer-related molecular mechanisms research 16
    • MicroRNA in disease regulation 12
    • Endoplasmic Reticulum Stress and Disease 7

Jun Gong

89 papers receiving 3.5k citations

Hit Papers

Stem cell-derived exosomes: emerging therapeutic opportunities for wound healing 2023 · 179 citations
179202320262024202550100150

Peers

Jun Gong
Comparison fields: 5 of 124
  • Cancer Research 613
  • Immunology 633
  • Molecular Biology 1.9k
  • Oncology 618
  • Cell Biology 338
Replace Takuya Awata with:
Takuya Awata Japan
Fang Hua China
Yaoqin Gong China
Lucia Rohrer Switzerland
Limin Liu China
Yuan Zhang China
Maria Rita Rippo Italy
Weidong Zhu China
Michitaka Ozaki Japan
Kwang‐Hee Bae South Korea
Jun Gong relative to Takuya Awata Japan Takuya Awata's profile →
Citations per field
00.5×3.4×
Takuya Awata · 1×
Citations per year

Countries citing papers authored by Jun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20255
5 20250
6 20241
7 20245
8 20240
9 20247
10 20232
11 202210
12 202114
13 20207
14 201761
15 20157
16 201516
17 201159
18 200911
19 200715
20 199534

About Jun Gong

Jun Gong is a scholar working on Cancer Research, Cell Biology, Neurology, Molecular Biology and Obstetrics and Gynecology, having authored 96 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (15 papers), MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (613 citations), Immunology (633 citations), Molecular Biology (1.9k citations), Oncology (618 citations) and Cell Biology (338 citations). Jun Gong has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Zbigniew Darżynkiewicz, Barbara Ardelt, A. Schmidt, Marianne Nain, Diethard Gemsa, W. Gorczyca, F Traganos, Harald Renz, Frank Traganos and Hongliang Li. Their work appears in journals such as Frontiers in Immunology, Hypertension, Hepatology, Journal of the American Heart Association and Cell Proliferation.

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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