Ling Ye
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Mesenchymal stem cell research
Papers in
-
- RNA Interference and Gene Delivery 8
- Epidemiology 23
- Influenza Virus Research Studies 6
- Co-authors
- Jian Q. Feng (7 shared papers)Yuji Mishina (5 shared papers)Stephen E. Harris (2 shared papers)Chao Niu (1 shared paper)Haiyang Huang (1 shared paper)Xi He (1 shared paper)Jiwang Zhang (1 shared paper)Teri Johnson (1 shared paper)
- Journals
- PLoS ONE (5 papers)Journal of Virology (4 papers)Journal of Bone and Mineral Research (3 papers)Virology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Ling Ye
127 papers receiving 5.8k citations
Ling Ye's Hit Papers
Peers
Comparison fields: 5 of 162
- Hematology 1.4k
- Genetics 795
- Immunology 877
- Oncology 929
- Virology 149
Countries citing papers authored by Ling Ye
This map shows the geographic impact of Ling Ye'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 Ling Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ye more than expected).
Fields of papers citing papers by Ling Ye
This network shows the impact of papers produced by Ling Ye. 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 Ling Ye. The network helps show where Ling Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ye, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of the haematopoietic stem cell niche and control of the niche size Hit paper breakdown → | 2003 | 2391 |
| 2 | 3D hierarchical graphene matrices enable stable Zn anodes for aqueous Zn batteries Hit paper breakdown → | 2023 | 341 |
| 3 | 2004 | 253 | |
| 4 | 2008 | 239 | |
| 5 | 2017 | 204 | |
| 6 | 2003 | 165 | |
| 7 | 2008 | 151 | |
| 8 | 2016 | 107 | |
| 9 | 2010 | 104 | |
| 10 | 2009 | 102 | |
| 11 | 2021 | 94 | |
| 12 | 1990 | 92 | |
| 13 | 2007 | 81 | |
| 14 | 2013 | 75 | |
| 15 | 1999 | 66 | |
| 16 | 2014 | 65 | |
| 17 | 2021 | 62 | |
| 18 | 2001 | 48 | |
| 19 | 2005 | 47 | |
| 20 | 2004 | 47 |
About Ling Ye
Ling Ye is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Oncology and Inorganic Chemistry, having authored 138 papers that have together received 5.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), RNA Interference and Gene Delivery (8 papers), Crystal structures of chemical compounds (8 papers), Metal-Organic Frameworks: Synthesis and Applications (7 papers), Influenza Virus Research Studies (6 papers), Crystallography and molecular interactions (5 papers), Virus-based gene therapy research (5 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (795 citations), Immunology (877 citations), Oncology (929 citations) and Virology (149 citations). Ling Ye has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Jian Q. Feng, Yuji Mishina, Stephen E. Harris, Chao Niu, Haiyang Huang, Xi He, Jiwang Zhang, Teri Johnson, Linheng Li and Jason Ross. Their work appears in journals such as PLoS ONE, Journal of Virology, Journal of Bone and Mineral Research, Virology and Scientific Reports.
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.