J. Xing
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Renal Transplantation Outcomes and Treatments 3
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- Platelet Disorders and Treatments 1
- Co-authors
- Valter Duro Garcı́aFlavio VincentiPushkal GargA. Jay BlockSander FlormanAntoine DürrbachJosep M. GrinyóThomas C. Pearson
- Journals
- American Journal of Transplantation (2 papers)The Journal of Cell Biology (1 paper)Transplantation (1 paper)Marine Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesBrazilFrance
In The Last Decade
J. Xing
11 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Transplantation 542
- Immunology 188
- Physiology 32
- Nephrology 40
- Epidemiology 189
Countries citing papers authored by J. Xing
This map shows the geographic impact of J. Xing'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 J. Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Xing more than expected).
Fields of papers citing papers by J. Xing
This network shows the impact of papers produced by J. Xing. 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 J. Xing. The network helps show where J. Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 12 | |
| 2 | 2023 | 1 | |
| 3 | Novel lipophilic SN38 prodrug forming stable liposomes for colorectal carcinoma therapy | 2019 | 1 |
| 4 | Effect of SVR on liver-related and all-cause hospitalization of patients with chronic HCV infection: The chronic hepatitis cohort study (CHECS), 2014-16. | 2018 | 0 |
| 5 | 2014 | 5 | |
| 6 | 2011 | 238 | |
| 7 | 2011 | 3 | |
| 8 | Phase III Study of Belatacept Versus Cyclosporine in Kidney Transplants from Extended Criteria Donors (BENEFIT‐EXT Study) Hit paper breakdown → | 2010 | 424 |
| 9 | 2010 | 9 | |
| 10 | 2000 | 7 | |
| 11 | 1994 | 13 | |
| 12 | 1994 | 13 |
About J. Xing
J. Xing is a scholar working on Transplantation, Hematology, Immunology, Aquatic Science and Hepatology, having authored 12 papers that have together received 726 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cardiomyopathy and Myosin Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Mitochondrial Function and Pathology (1 paper), Platelet Disorders and Treatments (1 paper) and Pharmacology and Obesity Treatment (1 paper). The work is most often cited by research in Transplantation (542 citations), Immunology (188 citations), Physiology (32 citations), Nephrology (40 citations) and Epidemiology (189 citations). J. Xing has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Valter Duro Garcı́a, Flavio Vincenti, Pushkal Garg, A. Jay Block, Sander Florman, Antoine Dürrbach, Josep M. Grinyó, Thomas C. Pearson, Josep M. Campistol and María del Carmen Rial. Their work appears in journals such as American Journal of Transplantation, The Journal of Cell Biology, Transplantation, Marine Biology and Journal of Biological Chemistry.
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.