Ye Ji
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Modeling and Simulation top 5%
Papers in
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- Circular RNAs in diseases 6
- Glycosylation and Glycoproteins Research 3
- Steroid Chemistry and Biochemistry 2
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- Tuberculosis Research and Epidemiology 7
- Co-authors
- Jianming Wang (14 shared papers)Zhongqi Li (11 shared papers)Huan Song (11 shared papers)Dian Xu (9 shared papers)Beibei Qiu (6 shared papers)Dan Tian (5 shared papers)Qiao Liu (4 shared papers)Jinglong Yan (6 shared papers)
- Journals
- Medicine (6 papers)International Journal of Infectious Diseases (3 papers)Chemico-Biological Interactions (3 papers)BMJ Open (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ye Ji
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 121
- Modeling and Simulation 36
- Infectious Diseases 127
- Biomaterials 75
- Molecular Biology 310
Countries citing papers authored by Ye Ji
This map shows the geographic impact of Ye Ji'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 Ye Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Ji more than expected).
Fields of papers citing papers by Ye Ji
This network shows the impact of papers produced by Ye Ji. 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 Ye Ji. The network helps show where Ye Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Ji, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2015 | 83 | |
| 3 | 2019 | 74 | |
| 4 | 2019 | 62 | |
| 5 | 2018 | 56 | |
| 6 | 2011 | 53 | |
| 7 | 2016 | 53 | |
| 8 | 2019 | 49 | |
| 9 | 2017 | 48 | |
| 10 | 2013 | 45 | |
| 11 | 2010 | 39 | |
| 12 | 2019 | 36 | |
| 13 | 2019 | 34 | |
| 14 | 2017 | 32 | |
| 15 | 2014 | 26 | |
| 16 | 2022 | 23 | |
| 17 | 2020 | 22 | |
| 18 | 2017 | 22 | |
| 19 | 2018 | 21 | |
| 20 | 2020 | 21 |
About Ye Ji
Ye Ji is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Neurology and Surgery, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Bone Tissue Engineering Materials (6 papers), Circular RNAs in diseases (6 papers), Glycosylation and Glycoproteins Research (3 papers), MicroRNA in disease regulation (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Steroid Chemistry and Biochemistry (2 papers). The work is most often cited by research in Cancer Research (121 citations), Modeling and Simulation (36 citations), Infectious Diseases (127 citations), Biomaterials (75 citations) and Molecular Biology (310 citations). Ye Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianming Wang, Zhongqi Li, Huan Song, Dian Xu, Beibei Qiu, Dan Tian, Qiao Liu, Jinglong Yan, Lili Shi and Robert J. Woods. Their work appears in journals such as Medicine, International Journal of Infectious Diseases, Chemico-Biological Interactions, BMJ Open and Oncotarget.
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.