Fan Dong
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Genetics top 2%
- Co-authors
- Zamaneh KassiriAbhijit TakawaleJi‐Won LeeIvo P. TouwBob LöwenbergRatnadeep BasuGavin Y. OuditAndrew C. Larner
- Topics
- Blood disorders and treatments (21 papers)Cardiac Fibrosis and Remodeling (14 papers)Cytokine Signaling Pathways and Interactions (13 papers)
- Cited by
- ImmunologyHematologyCancer Research
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fan Dong
161 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.1k
- Oncology 1.5k
- Immunology 1.4k
- Cardiology and Cardiovascular Medicine 1.2k
- Genetics 1.1k
Countries citing papers authored by Fan Dong
This map shows the geographic impact of Fan 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 Fan Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Dong more than expected).
Fields of papers citing papers by Fan Dong
This network shows the impact of papers produced by Fan 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 Fan Dong. The network helps show where Fan Dong may publish in the future.
Co-authorship network of co-authors of Fan Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Fan Dong. A scholar is included among the top collaborators of Fan 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 Fan Dong. Fan 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 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | MiR-524 inhibits cell proliferation and induces cell apoptosis in thyroid cancer via targeting SPAG9 | 3 |
| 13 | Cloning and functional analysis of an odorant-binding protein HparOBP15a gene from Holotrichia parallela (Coleoptera: Melolonthidae). | 2 |
| 14 | Inhibitory effect of safflor yellow on endothelium inflammatory factors ex-pression elevation induced by platelet activating factor | 1 |
| 15 | 52 | |
| 16 | 129 | |
| 17 | 21 | |
| 18 | 12 | |
| 19 | 51 | |
| 20 | 98 |
About Fan Dong
Fan Dong is a scholar working on Cancer Research, Immunology and Oncology, having authored 172 papers that have together received 6.3k indexed citations. Recurring topics across this work include Blood disorders and treatments (21 papers), Cardiac Fibrosis and Remodeling (14 papers) and Cytokine Signaling Pathways and Interactions (13 papers). The work is most often cited by research in Immunology (1.4k citations), Hematology (736 citations) and Cancer Research (890 citations). Fan Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zamaneh Kassiri, Abhijit Takawale, Ji‐Won Lee, Ivo P. Touw, Bob Löwenberg, Ratnadeep Basu, Gavin Y. Oudit, Andrew C. Larner, Vaibhav B. Patel and Karl Welte. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.