Jiang Yang
Impact in
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
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- RNA Interference and Gene Delivery 5
-
- Protease and Inhibitor Mechanisms 3
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Marsha A. Moses (25 shared papers)Roopali Roy (7 shared papers)Peng Guo (11 shared papers)Debra T. Auguste (11 shared papers)Jing Huang (3 shared papers)David Zurakowski (6 shared papers)Daxing Liu (4 shared papers)Di Jia (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Cancer Research (3 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Jiang Yang
31 papers receiving 2.6k citations
Jiang Yang's Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 592
- Biomaterials 428
- Oncology 591
- Nephrology 148
- Immunology and Allergy 113
Countries citing papers authored by Jiang Yang
This map shows the geographic impact of Jiang Yang'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 Jiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Yang more than expected).
Fields of papers citing papers by Jiang Yang
This network shows the impact of papers produced by Jiang Yang. 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 Jiang Yang. The network helps show where Jiang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Yang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matrix Metalloproteinases As Novel Biomarker s and Potential Therapeutic Targets in Human Cancer Hit paper breakdown → | 2009 | 690 |
| 2 | 2018 | 356 | |
| 3 | 2009 | 303 | |
| 4 | 2005 | 253 | |
| 5 | 2014 | 155 | |
| 6 | 2015 | 113 | |
| 7 | 2012 | 105 | |
| 8 | 2019 | 94 | |
| 9 | 2019 | 79 | |
| 10 | 2019 | 67 | |
| 11 | 2014 | 64 | |
| 12 | 2011 | 46 | |
| 13 | 2010 | 39 | |
| 14 | 2012 | 38 | |
| 15 | 2008 | 38 | |
| 16 | 2017 | 30 | |
| 17 | 2015 | 28 | |
| 18 | 2004 | 19 | |
| 19 | 2022 | 17 | |
| 20 | 1994 | 13 |
About Jiang Yang
Jiang Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA Interference and Gene Delivery (5 papers), Protease and Inhibitor Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Lipids, and Metabolism (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (592 citations), Biomaterials (428 citations), Oncology (591 citations), Nephrology (148 citations) and Immunology and Allergy (113 citations). Jiang Yang has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Marsha A. Moses, Roopali Roy, Peng Guo, Debra T. Auguste, Jing Huang, David Zurakowski, Daxing Liu, Di Jia, Cecilia A. Fernández and Biran Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Nature Communications, Clinical Cancer Research and The FASEB 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.