Jina Wang
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Epigenetics and DNA Methylation 5
- Signaling Pathways in Disease 2
-
- Renal Transplantation Outcomes and Treatments 12
- Co-authors
- Suzanne Jackowski (6 shared papers)Mohammad A. Karim (2 shared papers)Athanasios Lykidis (1 shared paper)Ruiming Rong (12 shared papers)Matthew W. Frank (2 shared papers)Tongyu Zhu (3 shared papers)Tongyu Zhu (9 shared papers)Tongyu Zhu (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Separation Science (2 papers)Blood (2 papers)BMC Pharmacology and Toxicology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jina Wang
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Transplantation 80
- Biochemistry 79
- Molecular Biology 613
- Immunology 174
- Cancer Research 120
Countries citing papers authored by Jina Wang
This map shows the geographic impact of Jina 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 Jina Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jina Wang more than expected).
Fields of papers citing papers by Jina Wang
This network shows the impact of papers produced by Jina 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 Jina Wang. The network helps show where Jina Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jina 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 176 | |
| 2 | 2001 | 89 | |
| 3 | 2010 | 84 | |
| 4 | 2023 | 83 | |
| 5 | 2007 | 80 | |
| 6 | 2014 | 65 | |
| 7 | 2011 | 56 | |
| 8 | 2012 | 55 | |
| 9 | 2006 | 47 | |
| 10 | 2004 | 45 | |
| 11 | 2008 | 41 | |
| 12 | 2018 | 33 | |
| 13 | 2020 | 27 | |
| 14 | 2017 | 19 | |
| 15 | 2016 | 16 | |
| 16 | 2020 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2018 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2018 | 9 |
About Jina Wang
Jina Wang is a scholar working on Molecular Biology, Transplantation, Surgery, Immunology and Infectious Diseases, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (12 papers), Epigenetics and DNA Methylation (5 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Pancreatic function and diabetes (3 papers), Signaling Pathways in Disease (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Transplantation (80 citations), Biochemistry (79 citations), Molecular Biology (613 citations), Immunology (174 citations) and Cancer Research (120 citations). Jina Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Suzanne Jackowski, Mohammad A. Karim, Athanasios Lykidis, Ruiming Rong, Matthew W. Frank, Tongyu Zhu, Tongyu Zhu, Tongyu Zhu, Hongyu Zhang and Wei Wang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Separation Science, Blood, BMC Pharmacology and Toxicology and Clinical Cancer Research.
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.