Youxi Ai
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Melanoma and MAPK Pathways 4
- Protein Kinase Regulation and GTPase Signaling 4
-
- Intracerebral and Subarachnoid Hemorrhage Research 9
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Co-authors
- Chi‐Kuang Huang (10 shared papers)Lijun Zhan (7 shared papers)Lauren Sansing (10 shared papers)Timothy Hla (7 shared papers)Michael Hannigan (5 shared papers)Jason Michaud (3 shared papers)Yong-Moon Lee (3 shared papers)Krishnan Venkataraman (3 shared papers)
- Journals
- Journal of Clinical Investigation (3 papers)Stroke (3 papers)Journal of Leukocyte Biology (2 papers)The Journal of Immunology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Youxi Ai
27 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Neurology 419
- Cancer Research 524
- Immunology 693
- Immunology and Allergy 178
- Cell Biology 460
Countries citing papers authored by Youxi Ai
This map shows the geographic impact of Youxi Ai'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 Youxi Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youxi Ai more than expected).
Fields of papers citing papers by Youxi Ai
This network shows the impact of papers produced by Youxi Ai. 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 Youxi Ai. The network helps show where Youxi Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Youxi Ai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Selenium Drives a Transcriptional Adaptive Program to Block Ferroptosis and Treat Stroke Hit paper breakdown → | 2019 | 780 |
| 2 | 2008 | 391 | |
| 3 | 2016 | 213 | |
| 4 | 2002 | 195 | |
| 5 | 2006 | 188 | |
| 6 | 2006 | 173 | |
| 7 | 2014 | 167 | |
| 8 | 2009 | 158 | |
| 9 | 1997 | 149 | |
| 10 | 2017 | 137 | |
| 11 | 1998 | 98 | |
| 12 | 2000 | 94 | |
| 13 | 2005 | 92 | |
| 14 | 2001 | 66 | |
| 15 | 2007 | 57 | |
| 16 | 2012 | 52 | |
| 17 | 2014 | 38 | |
| 18 | 1995 | 37 | |
| 19 | 1997 | 36 | |
| 20 | 2001 | 35 |
About Youxi Ai
Youxi Ai is a scholar working on Molecular Biology, Neurology, Immunology, Neurology and Cell Biology, having authored 27 papers that have together received 3.3k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Immune cells in cancer (7 papers), Cell Adhesion Molecules Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Melanoma and MAPK Pathways (4 papers), Cellular Mechanics and Interactions (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Neurology (419 citations), Cancer Research (524 citations), Immunology (693 citations), Immunology and Allergy (178 citations) and Cell Biology (460 citations). Youxi Ai has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Chi‐Kuang Huang, Lijun Zhan, Lauren Sansing, Timothy Hla, Michael Hannigan, Jason Michaud, Yong-Moon Lee, Krishnan Venkataraman, Matthew D. Hammond and Shobha Thangada. Their work appears in journals such as Journal of Clinical Investigation, Stroke, Journal of Leukocyte Biology, The Journal of Immunology 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.