Jie Jin
Impact in
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
-
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 13
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 5
- Genetics 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Deqing Mei (5 shared papers)Yancheng Wang (5 shared papers)Jeong-Hun Kang (1 shared paper)F. Kondo (1 shared paper)Albert Qin (4 shared papers)Jun Zh. Huang (1 shared paper)Norio Komatsu (3 shared papers)Oleh Zagrijtschuk (2 shared papers)
- Journals
- Blood (13 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Annals of Hematology (2 papers)EClinicalMedicine (1 paper)International Journal of Smart and Nano Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jie Jin
37 papers receiving 307 citations
Peers
Comparison fields: 5 of 73
- Genetics 79
- Hematology 71
- Rheumatology 38
- Cognitive Neuroscience 43
- Biomedical Engineering 85
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 35 | |
| 2 | 2022 | 28 | |
| 3 | 2022 | 26 | |
| 4 | 2005 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 15 | |
| 8 | 2024 | 15 | |
| 9 | 2004 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2025 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2004 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 4 |
About Jie Jin
Jie Jin is a scholar working on Hematology, Genetics, Rheumatology, Public Health, Environmental and Occupational Health and Oncology, having authored 41 papers that have together received 319 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Tactile and Sensory Interactions (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Genetics (79 citations), Hematology (71 citations), Rheumatology (38 citations), Cognitive Neuroscience (43 citations) and Biomedical Engineering (85 citations). Jie Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Deqing Mei, Yancheng Wang, Jeong-Hun Kang, F. Kondo, Albert Qin, Jun Zh. Huang, Norio Komatsu, Oleh Zagrijtschuk, Toshiaki Sato and Raymond W. Urbanski. Their work appears in journals such as Blood, IEEE Transactions on Instrumentation and Measurement, Annals of Hematology, EClinicalMedicine and International Journal of Smart and Nano Materials.
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.