Tiejun Qin
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 54
- Acute Myeloid Leukemia Research 45
- Chronic Myeloid Leukemia Treatments 12
- Multiple Myeloma Research and Treatments 4
- Genetics 39
- Myeloproliferative Neoplasms: Diagnosis and Treatment 33
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Zefeng Xu (70 shared papers)Robert Peter Gale (27 shared papers)Lijuan Pan (42 shared papers)Shiqiang Qu (44 shared papers)Zhijian Xiao (38 shared papers)Yue Zhang (21 shared papers)Naibo Hu (25 shared papers)Liwei Fang (19 shared papers)
- Journals
- Blood (12 papers)Leukemia Research (9 papers)Experimental Hematology and Oncology (4 papers)Leukemia (4 papers)British Journal of Haematology (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Tiejun Qin
78 papers receiving 609 citations
Peers
Comparison fields: 5 of 48
- Hematology 436
- Genetics 287
- Rheumatology 71
- Emergency Medicine 28
- Molecular Biology 192
Countries citing papers authored by Tiejun Qin
This map shows the geographic impact of Tiejun Qin'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 Tiejun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Qin more than expected).
Fields of papers citing papers by Tiejun Qin
This network shows the impact of papers produced by Tiejun Qin. 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 Tiejun Qin. The network helps show where Tiejun Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Qin, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 41 | |
| 2 | 2014 | 35 | |
| 3 | 2012 | 34 | |
| 4 | 2015 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2012 | 26 | |
| 8 | 2012 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2009 | 21 | |
| 13 | 2015 | 19 | |
| 14 | 2011 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2011 | 14 | |
| 17 | 2022 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2014 | 9 |
About Tiejun Qin
Tiejun Qin is a scholar working on Hematology, Genetics, Molecular Biology, Rheumatology and Oncology, having authored 88 papers that have together received 618 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (45 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (33 papers), Eosinophilic Disorders and Syndromes (14 papers), Chronic Myeloid Leukemia Treatments (12 papers), Kruppel-like factors research (9 papers), Multiple Myeloma Research and Treatments (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Hematology (436 citations), Genetics (287 citations), Rheumatology (71 citations), Emergency Medicine (28 citations) and Molecular Biology (192 citations). Tiejun Qin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zefeng Xu, Robert Peter Gale, Lijuan Pan, Shiqiang Qu, Zhijian Xiao, Yue Zhang, Naibo Hu, Liwei Fang, Bing Li and Zhijian Xiao. Their work appears in journals such as Blood, Leukemia Research, Experimental Hematology and Oncology, Leukemia and British Journal of Haematology.
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.