Yun Mo
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Bioactive Natural Diterpenoids Research 1
- Genetics 3
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Lee Yong Lim (2 shared papers)Kangyong Liu (5 shared papers)Yinyi Sun (2 shared papers)Uday B. Kompella (3 shared papers)Dolores J. Takemoto (1 shared paper)Harriet J. Davidson (1 shared paper)Micheal E. Barnett (1 shared paper)Hong Zhan (2 shared papers)
- Journals
- Cell Cycle (1 paper)Journal of Pharmaceutical Sciences (1 paper)Heliyon (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Enhanced heat transfer/Journal of enhanced heat transfer (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yun Mo
19 papers receiving 893 citations
Yun Mo's Hit Papers
Peers
Comparison fields: 5 of 86
- Pharmaceutical Science 136
- Neurology 138
- Biomaterials 197
- Reproductive Medicine 68
- Obstetrics and Gynecology 45
Countries citing papers authored by Yun Mo
This map shows the geographic impact of Yun Mo'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 Yun Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Mo more than expected).
Fields of papers citing papers by Yun Mo
This network shows the impact of papers produced by Yun Mo. 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 Yun Mo. The network helps show where Yun Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Autophagy and inflammation in ischemic stroke Hit paper breakdown → | 2020 | 267 |
| 2 | 2005 | 136 | |
| 3 | Human serum albumin nanoparticles for efficient delivery of Cu, Zn superoxide dismutase gene. | 2007 | 113 |
| 4 | 2003 | 82 | |
| 5 | 2021 | 72 | |
| 6 | 2007 | 67 | |
| 7 | 2009 | 31 | |
| 8 | 2005 | 28 | |
| 9 | 2015 | 21 | |
| 10 | 2023 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 17 | |
| 13 | 2012 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 7 | |
| 16 | 2016 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2021 | 2 |
About Yun Mo
Yun Mo is a scholar working on Molecular Biology, Genetics, Epidemiology, Neurology and Hematology, having authored 19 papers that have together received 918 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Endometriosis Research and Treatment (2 papers), Iron Metabolism and Disorders (2 papers), Bioactive Natural Diterpenoids Research (1 paper), Corneal Surgery and Treatments (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Pharmaceutical Science (136 citations), Neurology (138 citations), Biomaterials (197 citations), Reproductive Medicine (68 citations) and Obstetrics and Gynecology (45 citations). Yun Mo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lee Yong Lim, Kangyong Liu, Yinyi Sun, Uday B. Kompella, Dolores J. Takemoto, Harriet J. Davidson, Micheal E. Barnett, Hong Zhan, Jun Lin and Liqi Zhang. Their work appears in journals such as Cell Cycle, Journal of Pharmaceutical Sciences, Heliyon, Clinical Chemistry and Laboratory Medicine (CCLM) and Enhanced heat transfer/Journal of enhanced heat transfer.
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.