Min Gong
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research top 10%
- Surgery
- Oncology
- Co-authors
- Tony RomeoBow HoSamantha Shi Min LingKhay Guan YeohYulong YinZhi‐Qiang LiuDun DengGuoyao Wu
- Topics
- RNA modifications and cancer (5 papers)Cancer-related molecular mechanisms research (5 papers)MicroRNA in disease regulation (4 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Min Gong
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 792
- Genetics 278
- Cancer Research 184
- Surgery 179
- Oncology 157
Countries citing papers authored by Min Gong
This map shows the geographic impact of Min 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 Min Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Gong more than expected).
Fields of papers citing papers by Min Gong
This network shows the impact of papers produced by Min 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 Min Gong. The network helps show where Min Gong may publish in the future.
Co-authorship network of co-authors of Min Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Min Gong. A scholar is included among the top collaborators of Min Gong 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 Min Gong. Min Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | LncRNA AB073614 promotes the proliferation and inhibits apoptosis of cervical cancer cells by repressing RBM5 | 3 |
| 12 | 4 | |
| 13 | 32 | |
| 14 | 16 | |
| 15 | 48 | |
| 16 | 12 | |
| 17 | 22 | |
| 18 | Effect of copper, ferrous iron and zinc from different sources on growth performance and fecal copper, ferrous iron and zinc balance in growing pigs | 0 |
| 19 | 10 | |
| 20 | Cloning and sequencing of the Buzura suppressaria nucleopolyhedrovirus DNA polymerase gene | 1 |
About Min Gong
Min Gong is a scholar working on Cancer Research, Molecular Biology and Filtration and Separation, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Endocrinology (101 citations), Cancer Research (184 citations) and Molecular Biology (792 citations). Min Gong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tony Romeo, Bow Ho, Samantha Shi Min Ling, Khay Guan Yeoh, Yulong Yin, Zhi‐Qiang Liu, Dun Deng, Guoyao Wu, Bie Tan and Zhaojin Liu. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Gastroenterology.
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.