Jie Jin
Impact in
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
-
- Acute Myeloid Leukemia Research
Papers in
- Co-authors
- Yancheng Wang (5 shared papers)Deqing Mei (5 shared papers)Jeong‐Hun Kang (1 shared paper)F. Kondo (1 shared paper)Jun Huang (1 shared paper)Hsin‐An Hou (1 shared paper)Craig Zimmerman (1 shared paper)Srđan Verstovšek (1 shared paper)
- Journals
- Blood (16 papers)Journal of Clinical Oncology (4 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Review of Scientific Instruments (1 paper)Journal of Chromatography B (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Jie Jin
35 papers receiving 222 citations
Peers
Comparison fields: 5 of 69
- Genetics 28
- Hematology 27
- Cognitive Neuroscience 43
- Biomedical Engineering 81
- Human-Computer Interaction 10
Countries citing papers authored by Jie Jin
This map shows the geographic impact of Jie Jin'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 Jie Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Jin more than expected).
Fields of papers citing papers by Jie Jin
This network shows the impact of papers produced by Jie Jin. 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 Jie Jin. The network helps show where Jie Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie Jin, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 34 | |
| 2 | 2005 | 28 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 20 | |
| 5 | 2023 | 12 | |
| 6 | 2004 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2004 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 2 |
About Jie Jin
Jie Jin is a scholar working on Genetics, Oncology, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 38 papers that have together received 230 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Acute Myeloid Leukemia Research (5 papers), Tactile and Sensory Interactions (5 papers), T-cell and Retrovirus Studies (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (28 citations), Hematology (27 citations), Cognitive Neuroscience (43 citations), Biomedical Engineering (81 citations) and Human-Computer Interaction (10 citations). Jie Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Yancheng Wang, Deqing Mei, Jeong‐Hun Kang, F. Kondo, Jun Huang, Hsin‐An Hou, Craig Zimmerman, Srđan Verstovšek, Raymond Urbanski and Chengang Lyu. Their work appears in journals such as Blood, Journal of Clinical Oncology, IEEE Transactions on Instrumentation and Measurement, Review of Scientific Instruments and Journal of Chromatography B.
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.