Gang Dong
- Co-authors
- Carter Van WaesElena LoukinovaZhong ChenJohn B. SunwooNing T. YehCatherine ParkC C BancroftDavid A. Dichek
- Topics
- NF-κB Signaling Pathways (4 papers)Molecular Biology Techniques and Applications (3 papers)MicroRNA in disease regulation (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Gang Dong
19 papers receiving 618 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 403
- Cancer Research 211
- Oncology 170
- Genetics 107
- Immunology 90
Countries citing papers authored by Gang Dong
This map shows the geographic impact of Gang Dong'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 Gang Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Dong more than expected).
Fields of papers citing papers by Gang Dong
This network shows the impact of papers produced by Gang Dong. 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 Gang Dong. The network helps show where Gang Dong may publish in the future.
Co-authorship network of co-authors of Gang Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Dong. A scholar is included among the top collaborators of Gang Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Dong. Gang Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 56 | |
| 8 | 20 | |
| 9 | Inhibitory effect of miR-145 on RPE cell proliferation. | 0 |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | Molecular profiling of transformed and metastatic murine squamous carcinoma cells by differential display and cDNA microarray reveals altered expression of multiple genes related to growth, apoptosis, angiogenesis, and the NF-kappaB signal pathway. | 110 |
| 15 | Coexpression of proangiogenic factors IL-8 and VEGF by human head and neck squamous cell carcinoma involves coactivation by MEK-MAPK and IKK-NF-kappaB signal pathways. | 160 |
| 16 | [Stenosis of the common left iliac vein and acute deep vein thrombosis of the lower extremity]. | 2 |
| 17 | 5 | |
| 18 | 119 | |
| 19 | 15 | |
| 20 | 46 |
About Gang Dong
Gang Dong is a scholar working on Internal Medicine, Cancer Research and Immunology and Allergy, having authored 20 papers that have together received 633 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Molecular Biology Techniques and Applications (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (211 citations), Oncology (170 citations) and Molecular Biology (403 citations). Gang Dong has collaborated with scholars based in China, United States and France. Frequent co-authors include Carter Van Waes, Elena Loukinova, Zhong Chen, John B. Sunwoo, Ning T. Yeh, Catherine Park, C C Bancroft, David A. Dichek, Andrew H. Schulick and Jeffrey J. Rade. Their work appears in journals such as Journal of Clinical Investigation, Nature Genetics and Nature Immunology.
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.