Zejing Wang
Impact in
-
- Blood properties and coagulation
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- Blood properties and coagulation 22
- Genetics 14
- Virus-based gene therapy research 13
- Co-authors
- Martin P.A. Griffin (26 shared papers)Stephen J. Tapscott (13 shared papers)Rainer F Storb (13 shared papers)Jeffrey S. Chamberlain (8 shared papers)Christian S. Kuhr (4 shared papers)Paul Gregorevic (3 shared papers)Dilek Telci (3 shared papers)James M. Allen (4 shared papers)
- Journals
- Amino Acids (6 papers)Cell Death and Disease (4 papers)Molecular Therapy (4 papers)Journal of Biological Chemistry (4 papers)The Journal of Urology (3 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Zejing Wang
61 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 105
- Pulmonary and Respiratory Medicine 743
- Genetics 585
- Molecular Biology 1.2k
- Hematology 169
- Orthopedics and Sports Medicine 119
Countries citing papers authored by Zejing Wang
This map shows the geographic impact of Zejing Wang'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 Zejing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zejing Wang more than expected).
Fields of papers citing papers by Zejing Wang
This network shows the impact of papers produced by Zejing Wang. 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 Zejing Wang. The network helps show where Zejing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zejing Wang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 338 | |
| 2 | 2007 | 191 | |
| 3 | 2007 | 117 | |
| 4 | 2013 | 110 | |
| 5 | 2008 | 109 | |
| 6 | 2011 | 107 | |
| 7 | 2006 | 105 | |
| 8 | 2010 | 78 | |
| 9 | 2018 | 76 | |
| 10 | 2012 | 72 | |
| 11 | 2010 | 67 | |
| 12 | 2004 | 66 | |
| 13 | 2012 | 64 | |
| 14 | 2013 | 49 | |
| 15 | 2015 | 49 | |
| 16 | 2011 | 45 | |
| 17 | 2014 | 45 | |
| 18 | 2009 | 44 | |
| 19 | 2012 | 44 | |
| 20 | 2017 | 43 |
About Zejing Wang
Zejing Wang is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Immunology and Allergy, Molecular Biology and Hematology, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blood properties and coagulation (22 papers), Virus-based gene therapy research (13 papers), Muscle Physiology and Disorders (8 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Tendon Structure and Treatment (5 papers), Cell Adhesion Molecules Research (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (743 citations), Genetics (585 citations), Molecular Biology (1.2k citations), Hematology (169 citations) and Orthopedics and Sports Medicine (119 citations). Zejing Wang has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Martin P.A. Griffin, Stephen J. Tapscott, Rainer F Storb, Jeffrey S. Chamberlain, Christian S. Kuhr, Paul Gregorevic, Dilek Telci, James M. Allen, Stanley R. Riddell and Robert L. Vessella. Their work appears in journals such as Amino Acids, Cell Death and Disease, Molecular Therapy, Journal of Biological Chemistry and The Journal of Urology.
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.