Jia Ruan
- Pathology and Forensic Medicine top 0.5%
- Oncology top 2%
- Molecular Biology top 10%
- Genetics top 1%
- Immunology top 5%
- Co-authors
- John P. LeonardPeter MartinRichard R. FurmanMorton ColemanRebecca ElstromCarl NathanAmy ChadburnPaul J. Christos
- Topics
- Lymphoma Diagnosis and Treatment (99 papers)Chronic Lymphocytic Leukemia Research (38 papers)CAR-T cell therapy research (21 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jia Ruan
137 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 138
- Pathology and Forensic Medicine 1.8k
- Oncology 1.5k
- Molecular Biology 974
- Genetics 909
- Immunology 513
Countries citing papers authored by Jia Ruan
This map shows the geographic impact of Jia Ruan'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 Jia Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Ruan more than expected).
Fields of papers citing papers by Jia Ruan
This network shows the impact of papers produced by Jia Ruan. 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 Jia Ruan. The network helps show where Jia Ruan may publish in the future.
Co-authorship network of co-authors of Jia Ruan
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Ruan. A scholar is included among the top collaborators of Jia Ruan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jia Ruan. Jia Ruan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | Quality Assessment and Comparison of Plasma-Derived Extracellular Vesicles Separated by Three Commercial Kits for Prostate Cancer Diagnosis | 1 |
| 11 | 7 | |
| 12 | 55 | |
| 13 | 40 | |
| 14 | 50 | |
| 15 | 27 | |
| 16 | 133 | |
| 17 | 41 | |
| 18 | 234 | |
| 19 | 35 | |
| 20 | 60 |
About Jia Ruan
Jia Ruan is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 148 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (99 papers), Chronic Lymphocytic Leukemia Research (38 papers) and CAR-T cell therapy research (21 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Genetics (909 citations) and Oncology (1.5k citations). Jia Ruan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John P. Leonard, Peter Martin, Richard R. Furman, Morton Coleman, Rebecca Elstrom, Carl Nathan, Amy Chadburn, Paul J. Christos, Yongxin Li and Michael U. Shiloh. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.