Jina Wang
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Surgery 9
- Pancreatic function and diabetes 3
- Co-authors
- Suzanne Jackowski (6 shared papers)Mohammad A. Karim (2 shared papers)Athanasios Lykidis (1 shared paper)Tongyu Zhu (3 shared papers)Matthew W. Frank (2 shared papers)Tongyu Zhu (10 shared papers)Zhirou Wang (1 shared paper)Wei Wang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Blood (2 papers)Journal of Separation Science (2 papers)Journal of Surgical Research (2 papers)BMC Pharmacology and Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jina Wang
31 papers receiving 949 citations
Peers
Comparison fields: 5 of 89
- Transplantation 65
- Biochemistry 80
- Clinical Biochemistry 48
- Molecular Biology 491
- Hematology 73
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 | 179 | |
| 2 | 2001 | 93 | |
| 3 | 2010 | 88 | |
| 4 | 2007 | 81 | |
| 5 | 2014 | 65 | |
| 6 | 2011 | 56 | |
| 7 | 2012 | 56 | |
| 8 | 2006 | 48 | |
| 9 | 2004 | 47 | |
| 10 | 2008 | 45 | |
| 11 | 2020 | 29 | |
| 12 | 2012 | 28 | |
| 13 | 2017 | 19 | |
| 14 | 2016 | 16 | |
| 15 | 2020 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2023 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2019 | 9 |
About Jina Wang
Jina Wang is a scholar working on Molecular Biology, Surgery, Transplantation, Epidemiology and Immunology, having authored 33 papers that have together received 961 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Pancreatic function and diabetes (3 papers), Renal and Vascular Pathologies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), T-cell and B-cell Immunology (2 papers), Analytical chemistry methods development (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Transplantation (65 citations), Biochemistry (80 citations), Clinical Biochemistry (48 citations), Molecular Biology (491 citations) and Hematology (73 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, Tongyu Zhu, Matthew W. Frank, Tongyu Zhu, Zhirou Wang, Wei Wang, Jun Meng and Jingde Zhu. Their work appears in journals such as Journal of Biological Chemistry, Blood, Journal of Separation Science, Journal of Surgical Research and BMC Pharmacology and Toxicology.
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.