Ran Yan
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 35
- Hepatitis B Virus Studies 28
- Liver Disease Diagnosis and Treatment 7
- Hepatology 20
- Hepatitis C virus research 19
- Hepatitis Viruses Studies and Epidemiology 5
- Co-authors
- Dawei Cai (21 shared papers)Haitao Guo (19 shared papers)Timothy M. Block (9 shared papers)Ju‐Tao Guo (7 shared papers)Yuanjie Liu (9 shared papers)Andrea Cuconati (5 shared papers)Richeng Mao (5 shared papers)Hui Nie (3 shared papers)
- Journals
- PLoS Pathogens (5 papers)Journal of Virology (4 papers)Antiviral Research (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Virus Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ran Yan
55 papers receiving 1.8k citations
Ran Yan's Hit Papers
Peers
Comparison fields: 5 of 109
- Hepatology 700
- Epidemiology 1.1k
- Virology 138
- Infectious Diseases 265
- Immunology 236
Countries citing papers authored by Ran Yan
This map shows the geographic impact of Ran Yan'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 Ran Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Yan more than expected).
Fields of papers citing papers by Ran Yan
This network shows the impact of papers produced by Ran Yan. 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 Ran Yan. The network helps show where Ran Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Yan, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 207 | |
| 2 | 2012 | 187 | |
| 3 | 2013 | 114 | |
| 4 | 2017 | 107 | |
| 5 | 2017 | 99 | |
| 6 | 2015 | 82 | |
| 7 | 2019 | 82 | |
| 8 | 2013 | 79 | |
| 9 | 2014 | 74 | |
| 10 | 2010 | 71 | |
| 11 | 2016 | 70 | |
| 12 | 2011 | 68 | |
| 13 | Estimation of global building stocks by 2070: Unlocking renovation potential Hit paper breakdown → | 2024 | 59 |
| 14 | 2015 | 59 | |
| 15 | 2015 | 54 | |
| 16 | 2016 | 49 | |
| 17 | 2015 | 43 | |
| 18 | 2020 | 41 | |
| 19 | 2008 | 40 | |
| 20 | 2021 | 36 |
About Ran Yan
Ran Yan is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Molecular Biology and Genetics, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (28 papers), Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Hepatology (700 citations), Epidemiology (1.1k citations), Virology (138 citations), Infectious Diseases (265 citations) and Immunology (236 citations). Ran Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dawei Cai, Haitao Guo, Timothy M. Block, Ju‐Tao Guo, Yuanjie Liu, Andrea Cuconati, Richeng Mao, Hui Nie, Hongyan Liu and Jiming Zhang. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Antiviral Research, Antimicrobial Agents and Chemotherapy and Virus Research.
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.