Ying Ju
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Galectins and Cancer Biology
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Interference and Gene Delivery 5
- Immunology 21
- Galectins and Cancer Biology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Co-authors
- Songdong Meng (17 shared papers)Lizhao Chen (13 shared papers)Chunhong Ma (5 shared papers)Changfei Li (13 shared papers)Yanzhong Wang (5 shared papers)Hongxia Fan (6 shared papers)Bingchang Zhang (10 shared papers)Bao Zhao (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Cancer Immunology Immunotherapy (2 papers)Structure (2 papers)Oncotarget (2 papers)BMC Gastroenterology (2 papers)
- Partner nations
- ChinaUnited StatesEstonia
In The Last Decade
Ying Ju
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Immunology 536
- Cancer Research 343
- Hepatology 137
- Oncology 352
- Molecular Biology 707
Countries citing papers authored by Ying Ju
This map shows the geographic impact of Ying Ju'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 Ying Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ju more than expected).
Fields of papers citing papers by Ying Ju
This network shows the impact of papers produced by Ying Ju. 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 Ying Ju. The network helps show where Ying Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Ju, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 197 | |
| 2 | 2010 | 128 | |
| 3 | 2012 | 125 | |
| 4 | 2013 | 84 | |
| 5 | 2016 | 77 | |
| 6 | 2015 | 75 | |
| 7 | 2007 | 64 | |
| 8 | 2009 | 58 | |
| 9 | 2016 | 54 | |
| 10 | 2016 | 54 | |
| 11 | 2017 | 52 | |
| 12 | 2018 | 52 | |
| 13 | 2013 | 39 | |
| 14 | 2009 | 35 | |
| 15 | 2014 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2017 | 29 | |
| 19 | 2011 | 29 | |
| 20 | 2010 | 26 |
About Ying Ju
Ying Ju is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Epidemiology, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (7 papers), Immune Cell Function and Interaction (7 papers), MicroRNA in disease regulation (7 papers), Hepatitis B Virus Studies (5 papers), RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Immunology (536 citations), Cancer Research (343 citations), Hepatology (137 citations), Oncology (352 citations) and Molecular Biology (707 citations). Ying Ju has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Songdong Meng, Lizhao Chen, Chunhong Ma, Changfei Li, Yanzhong Wang, Hongxia Fan, Bingchang Zhang, Bao Zhao, Lei Zeng and Chengcheng Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Immunology Immunotherapy, Structure, Oncotarget and BMC Gastroenterology.
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.