Dejun Gong

1.3k citations
37 papers · 1.1k · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Dejun Gong

35 papers receiving 1.1k citations

Peers

Dejun Gong
Comparison fields: 5 of 93
  • Cancer Research 219
  • Genetics 111
  • Oncology 255
  • Biomaterials 136
  • Immunology 156
Replace Martin S. Kluger with:
Martin S. Kluger United States
Outi Närvänen Finland
Maria P. Alfaro United States
Nanako Kawaguchi Japan
Felipe Amaya‐Manzanares United States
Alfred C. Aplin United States
Daniel R. Boué United States
Xiao-Mei Teng China
Sebastian Gaiser United States
Susana Aguilar Spain
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Citations per field
00.5×1.5×
Martin S. Kluger · 1×
Citations per year

Countries citing papers authored by Dejun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Dejun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dejun 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 Dejun Gong Line = papers co-authored together Dejun Gong 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 2010208
2 201297
3 201188
4 201086
5 200975
6 200868
7 201759
8 201255
9 201842
10 201432
11 200632
12 201327
13 201826
14 201926
15 200925
16 200720
17 201218
18 201215
19 200914
20 201912

About Dejun Gong

Dejun Gong is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Genetics and Oncology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Mesenchymal stem cell research (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cancer Cells and Metastasis (2 papers) and Pericarditis and Cardiac Tamponade (2 papers). The work is most often cited by research in Cancer Research (219 citations), Genetics (111 citations), Oncology (255 citations), Biomaterials (136 citations) and Immunology (156 citations). Dejun Gong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shengdong Huang, Yang Yuan, Xiaohong Liu, Qian Shen, Yanghua Qin, Yan Zhang, Zhiyun Xu, Zhiyong Zeng, Chenguang Bai and Fanglin Lu. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, BMC Cancer, Interactive Cardiovascular and Thoracic Surgery, Molecular Cancer and Journal of Molecular and Cellular Cardiology.

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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