Fang Yuan
- Molecular Biology
- Epidemiology top 5%
- Immunology top 5%
- Infectious Diseases top 5%
- Cancer Research top 10%
- Co-authors
- John S. SullivanGeorge F. GaoDavid K. ColeWen JiangPeter McIntyreJeffrey D. LifsonMichael PiatakLinbo Gao
- Topics
- Epilepsy research and treatment (14 papers)Immune Cell Function and Interaction (9 papers)Pharmacological Effects and Toxicity Studies (9 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fang Yuan
141 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 676
- Epidemiology 500
- Immunology 500
- Infectious Diseases 346
- Cancer Research 248
Countries citing papers authored by Fang Yuan
This map shows the geographic impact of Fang Yuan'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 Fang Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Yuan more than expected).
Fields of papers citing papers by Fang Yuan
This network shows the impact of papers produced by Fang Yuan. 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 Fang Yuan. The network helps show where Fang Yuan may publish in the future.
Co-authorship network of co-authors of Fang Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yuan. A scholar is included among the top collaborators of Fang Yuan 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 Fang Yuan. Fang Yuan 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | The clinical value of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) for predicting the occurrence and severity of pneumonia in patients with intracerebral hemorrhagebreakdown → | 176 |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 27 | |
| 14 | Clinical Predictors of Mixed Apneas in Patients with Obstructive Sleep Apnea (OSA) | 7 |
| 15 | 6 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | Clinicopathologic and immunohistochemical features of colorectal sessile serrated adenoma/polyp and traditional serrated adenoma | 1 |
| 19 | 19 | |
| 20 | 119 |
About Fang Yuan
Fang Yuan is a scholar working on Psychiatry and Mental health, Virology and Microbiology, having authored 154 papers that have together received 2.4k indexed citations. Recurring topics across this work include Epilepsy research and treatment (14 papers), Immune Cell Function and Interaction (9 papers) and Pharmacological Effects and Toxicity Studies (9 papers). The work is most often cited by research in Virology (240 citations), Immunology (500 citations) and Infectious Diseases (346 citations). Fang Yuan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include John S. Sullivan, George F. Gao, David K. Cole, Wen Jiang, Peter McIntyre, Jeffrey D. Lifson, Michael Piatak, Linbo Gao, Théodora Hatziioannou and Paul D. Bieniasz. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.