Yan Long
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
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- RNA Research and Splicing 2
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- Alzheimer's disease research and treatments 5
- Adenosine and Purinergic Signaling 2
- Co-authors
- Feng Xu (1 shared paper)Chaoliu Dai (1 shared paper)Guojun Chen (9 shared papers)Binglin Zhu (8 shared papers)Yujie Lai (6 shared papers)Jiamei Yang (4 shared papers)Guixiang Ji (3 shared papers)Xiangguo Shi (3 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Molecular Neuroscience (3 papers)Journal of the Neurological Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yan Long
31 papers receiving 721 citations
Peers
Comparison fields: 5 of 93
- Hepatology 77
- Physiology 27
- Cancer Research 72
- Cellular and Molecular Neuroscience 91
- Neurology 30
Countries citing papers authored by Yan Long
This map shows the geographic impact of Yan Long'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 Yan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Long more than expected).
Fields of papers citing papers by Yan Long
This network shows the impact of papers produced by Yan Long. 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 Yan Long. The network helps show where Yan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Long, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2018 | 54 | |
| 3 | 2010 | 52 | |
| 4 | 2018 | 47 | |
| 5 | 2015 | 41 | |
| 6 | 2005 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2012 | 33 | |
| 9 | 2005 | 33 | |
| 10 | 2004 | 32 | |
| 11 | 2020 | 32 | |
| 12 | 2017 | 29 | |
| 13 | 2010 | 29 | |
| 14 | 2013 | 25 | |
| 15 | 2022 | 20 | |
| 16 | 2011 | 19 | |
| 17 | 2015 | 17 | |
| 18 | 2010 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2015 | 15 |
About Yan Long
Yan Long is a scholar working on Molecular Biology, Physiology, Oncology, Pharmacology and Neurology, having authored 32 papers that have together received 729 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Cellular transport and secretion (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Adenosine and Purinergic Signaling (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Hepatology (77 citations), Physiology (27 citations), Cancer Research (72 citations), Cellular and Molecular Neuroscience (91 citations) and Neurology (30 citations). Yan Long has collaborated with scholars based in China and United States. Frequent co-authors include Feng Xu, Chaoliu Dai, Guojun Chen, Binglin Zhu, Yujie Lai, Jiamei Yang, Guixiang Ji, Xiangguo Shi, Shoulin Wang and Feng Xie. Their work appears in journals such as PLoS ONE, Journal of Molecular Neuroscience, Journal of the Neurological Sciences, Biochemical and Biophysical Research Communications and Advanced Science.
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.