Libo Yan
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Epidemiology 21
- Liver Disease Diagnosis and Treatment 17
- Hepatitis B Virus Studies 16
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- Sphingolipid Metabolism and Signaling 3
- Protein Kinase Regulation and GTPase Signaling 3
- Co-authors
- Yan Xu (8 shared papers)Qingchun Cai (5 shared papers)Hong Tang (9 shared papers)Qi Cai (1 shared paper)Lingyao Du (13 shared papers)Lang Bai (9 shared papers)Erjie Tian (2 shared papers)Jinghua Han (2 shared papers)
- Journals
- Scientific Reports (4 papers)The FASEB Journal (2 papers)Clinical Cancer Research (1 paper)The Prostate (1 paper)Journal of Clinical Monitoring and Computing (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Libo Yan
49 papers receiving 951 citations
Peers
Comparison fields: 5 of 86
- Aging 86
- Hepatology 182
- Epidemiology 376
- Cell Biology 157
- Cancer Research 118
Countries citing papers authored by Libo Yan
This map shows the geographic impact of Libo 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 Libo Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Yan more than expected).
Fields of papers citing papers by Libo Yan
This network shows the impact of papers produced by Libo 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 Libo Yan. The network helps show where Libo Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Libo 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 180 | |
| 2 | 2014 | 88 | |
| 3 | 2017 | 75 | |
| 4 | 2013 | 69 | |
| 5 | 2019 | 54 | |
| 6 | 2015 | 49 | |
| 7 | 2010 | 46 | |
| 8 | 2012 | 40 | |
| 9 | 2013 | 33 | |
| 10 | 2014 | 31 | |
| 11 | 2007 | 28 | |
| 12 | 2015 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2010 | 20 | |
| 15 | 2016 | 18 | |
| 16 | 2016 | 15 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 11 |
About Libo Yan
Libo Yan is a scholar working on Epidemiology, Molecular Biology, Hepatology, Cell Biology and Surgery, having authored 54 papers that have together received 961 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Hepatitis B Virus Studies (16 papers), Hepatitis C virus research (12 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Nanoplatforms for cancer theranostics (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Aging (86 citations), Hepatology (182 citations), Epidemiology (376 citations), Cell Biology (157 citations) and Cancer Research (118 citations). Libo Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yan Xu, Qingchun Cai, Hong Tang, Qi Cai, Lingyao Du, Lang Bai, Erjie Tian, Jinghua Han, Hong Zhang and Yuxia Zhang. Their work appears in journals such as Scientific Reports, The FASEB Journal, Clinical Cancer Research, The Prostate and Journal of Clinical Monitoring and Computing.
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.