Z Yang
Impact in
-
- Cardiomyopathy and Myosin Studies
- Genetics top 10%
- Diabetes and associated disorders
- Virus-based gene therapy research
Papers in
- Co-authors
- Jerry L. Nadler (7 shared papers)Brent A. French (1 shared paper)Yaqin Xu (1 shared paper)Scott T. Acton (1 shared paper)Gang Zhi (1 shared paper)H. Lee Sweeney (1 shared paper)Kathleen M. Trybus (1 shared paper)James T. Stull (1 shared paper)
- Journals
- Diabetologia (2 papers)Gene Therapy (2 papers)Clinical & Experimental Immunology (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaMalaysia
In The Last Decade
Z Yang
24 papers receiving 783 citations
Peers
Comparison fields: 5 of 92
- Cardiology and Cardiovascular Medicine 155
- Genetics 201
- Endocrinology, Diabetes and Metabolism 90
- Surgery 195
- Molecular Biology 330
Countries citing papers authored by Z Yang
This map shows the geographic impact of Z 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 Z Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z Yang more than expected).
Fields of papers citing papers by Z Yang
This network shows the impact of papers produced by Z 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 Z Yang. The network helps show where Z Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Z 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 178 | |
| 2 | 1994 | 105 | |
| 3 | 2021 | 90 | |
| 4 | 2005 | 77 | |
| 5 | 2002 | 58 | |
| 6 | 1998 | 37 | |
| 7 | 1999 | 34 | |
| 8 | 2008 | 32 | |
| 9 | 2000 | 32 | |
| 10 | 2013 | 26 | |
| 11 | 1996 | 24 | |
| 12 | 1997 | 21 | |
| 13 | 2002 | 16 | |
| 14 | 2004 | 14 | |
| 15 | 1999 | 11 | |
| 16 | 2015 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2004 | 8 | |
| 19 | 1997 | 4 | |
| 20 | 2004 | 3 |
About Z Yang
Z Yang is a scholar working on Surgery, Genetics, Molecular Biology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 796 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (7 papers), Xenotransplantation and immune response (4 papers), Diabetes Management and Research (3 papers), Immune Cell Function and Interaction (2 papers), Virus-based gene therapy research (2 papers), Organ Transplantation Techniques and Outcomes (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (155 citations), Genetics (201 citations), Endocrinology, Diabetes and Metabolism (90 citations), Surgery (195 citations) and Molecular Biology (330 citations). Z Yang has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Jerry L. Nadler, Brent A. French, Yaqin Xu, Scott T. Acton, Gang Zhi, H. Lee Sweeney, Kathleen M. Trybus, James T. Stull, Ali Naji and Kellie M. Smith. Their work appears in journals such as Diabetologia, Gene Therapy, Clinical & Experimental Immunology, PLoS ONE and Proceedings of the National Academy of Sciences.
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.