Hong Fang
- Molecular Biology top 5%
- Rheumatology top 1%
- Immunology top 5%
- Experimental and Cognitive Psychology top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Michelle PetriJifang ShengSheng TuAnwen ShaoLaurence S. MagderWeida TongJianjun QiaoRoger Perkins
- Topics
- Systemic Lupus Erythematosus Research (15 papers)Gene expression and cancer classification (12 papers)Autoimmune and Inflammatory Disorders Research (11 papers)
- Cited by
- RheumatologyDermatologyImmunology
- Journals
- JAMAJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hong Fang
141 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.4k
- Rheumatology 876
- Immunology 821
- Experimental and Cognitive Psychology 475
- Pathology and Forensic Medicine 473
Countries citing papers authored by Hong Fang
This map shows the geographic impact of Hong Fang'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 Hong Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Fang more than expected).
Fields of papers citing papers by Hong Fang
This network shows the impact of papers produced by Hong Fang. 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 Hong Fang. The network helps show where Hong Fang may publish in the future.
Co-authorship network of co-authors of Hong Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Fang. A scholar is included among the top collaborators of Hong Fang 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 Hong Fang. Hong Fang 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | Long noncoding RNA DANCR in various cancers: a meta-analysis and bioinformatics | 0 |
| 15 | 33 | |
| 16 | 47 | |
| 17 | 17 | |
| 18 | 23 | |
| 19 | [Inhibition of invasiveness and expression of heparanase-mRNA in human malignant melanoma cell line A375 by matrine]. | 1 |
| 20 | 13 |
About Hong Fang
Hong Fang is a scholar working on Dermatology, Rheumatology and Immunology, having authored 148 papers that have together received 4.5k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (15 papers), Gene expression and cancer classification (12 papers) and Autoimmune and Inflammatory Disorders Research (11 papers). The work is most often cited by research in Rheumatology (876 citations), Dermatology (348 citations) and Immunology (821 citations). Hong Fang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michelle Petri, Jifang Sheng, Sheng Tu, Anwen Shao, Laurence S. Magder, Weida Tong, Jianjun Qiao, Roger Perkins, Leming Shi and Sneha Purvey. Their work appears in journals such as JAMA, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.