Dan Cong
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Ferroptosis and cancer prognosis
Papers in
-
- Cancer-related molecular mechanisms research 3
- Cancer, Lipids, and Metabolism 3
- MicroRNA in disease regulation 3
- Co-authors
- Enyong Dai (1 shared paper)Jing Wang (1 shared paper)Rui Kang (1 shared paper)Wenlong Zhang (1 shared paper)Daolin Tang (1 shared paper)Yuansong Bai (10 shared papers)Yanan Zhao (4 shared papers)Wenlong Zhang (4 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Materials Science and Technology (2 papers)International Journal of Biological Macromolecules (1 paper)Annals of Hematology (1 paper)Critical Reviews in Oncology/Hematology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dan Cong
19 papers receiving 434 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 185
- Pulmonary and Respiratory Medicine 184
- Biochemistry 26
- Molecular Biology 246
- General Energy 2
Countries citing papers authored by Dan Cong
This map shows the geographic impact of Dan Cong'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 Dan Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Cong more than expected).
Fields of papers citing papers by Dan Cong
This network shows the impact of papers produced by Dan Cong. 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 Dan Cong. The network helps show where Dan Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 205 | |
| 2 | 2015 | 57 | |
| 3 | 2018 | 53 | |
| 4 | 2021 | 25 | |
| 5 | 2013 | 24 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 13 | |
| 8 | 2023 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2013 | 5 | |
| 12 | 2025 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Dan Cong
Dan Cong is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 22 papers that have together received 439 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), High Entropy Alloys Studies (2 papers), Plant Stress Responses and Tolerance (2 papers), Additive Manufacturing Materials and Processes (2 papers), Ferroptosis and cancer prognosis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Cancer Research (185 citations), Pulmonary and Respiratory Medicine (184 citations), Biochemistry (26 citations), Molecular Biology (246 citations) and General Energy (2 citations). Dan Cong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Enyong Dai, Jing Wang, Rui Kang, Wenlong Zhang, Daolin Tang, Yuansong Bai, Yanan Zhao, Wenlong Zhang, Xiaoli Liu and Silin Chen. Their work appears in journals such as Frontiers in Pharmacology, Materials Science and Technology, International Journal of Biological Macromolecules, Annals of Hematology and Critical Reviews in Oncology/Hematology.
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.