Yujing Qin
- Toxicology top 10%
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- Neurotransmitter Receptor Influence on Behavior 2
- Emergency Medicine top 10%
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- Parkinson's Disease Mechanisms and Treatments 2
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- Cancer-related molecular mechanisms research 3
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- Cellular Mechanics and Interactions 2
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- RNA modifications and cancer 2
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- Cancer-related Molecular Pathways 2
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- Cell Adhesion Molecules Research 2
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- Force Microscopy Techniques and Applications 1
- Co-authors
- Deborah C. MashJohn PabloJarlath M.H. ffrench‐MullenNikhil AdiVincent T. MoyMidhat H. AbdulredaFélix RicoSpiridon Papapetropoulos
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yujing Qin
13 papers receiving 380 citations
Peers
Comparison fields: 5 of 83
- Toxicology 28
- Cellular and Molecular Neuroscience 147
- Emergency Medicine 55
- Endocrine and Autonomic Systems 35
- Neurology 35
Countries citing papers authored by Yujing Qin
This map shows the geographic impact of Yujing Qin'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 Yujing Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujing Qin more than expected).
Fields of papers citing papers by Yujing Qin
This network shows the impact of papers produced by Yujing Qin. 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 Yujing Qin. The network helps show where Yujing Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yujing Qin, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | Cell division cycle associated 8 promotes the growth and inhibits the apoptosis of endometrial cancer cells by regulating cell cycle and P53/Rb signaling pathway. | 2023 | 5 |
| 4 | 2021 | 3 | |
| 5 | High expression of SIX1 is an independent predictor of poor prognosis in endometrial cancer. | 2021 | 11 |
| 6 | 2019 | 6 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 5 | |
| 9 | 2010 | 55 | |
| 10 | 2009 | 88 | |
| 11 | 2007 | 90 | |
| 12 | 2006 | 57 | |
| 13 | 2005 | 42 | |
| 14 | 2004 | 27 |
About Yujing Qin
Yujing Qin is a scholar working on Immunology and Allergy, Obstetrics and Gynecology and Cell Biology, having authored 14 papers that have together received 396 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cellular Mechanics and Interactions (2 papers), RNA modifications and cancer (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Cancer-related Molecular Pathways (2 papers), Cell Adhesion Molecules Research (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Toxicology (28 citations), Cellular and Molecular Neuroscience (147 citations) and Emergency Medicine (55 citations). Yujing Qin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Deborah C. Mash, John Pablo, Jarlath M.H. ffrench‐Mullen, Nikhil Adi, Vincent T. Moy, Midhat H. Abdulreda, Félix Rico, Spiridon Papapetropoulos, Donald McCorquodale and Steven B. Karch. Their work appears in journals such as PLoS ONE, Oncogene and Biophysical Journal.
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.