Junyuan Qi
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 24
- Multiple Myeloma Research and Treatments 16
- Genetics 18
- Chronic Lymphocytic Leukemia Research 16
- Co-authors
- Dehui Zou (25 shared papers)Florence Smadja‐Joffe (2 shared papers)Lugui Qiu (27 shared papers)Gang An (15 shared papers)Zengjun Li (21 shared papers)Shuhua Yi (19 shared papers)Michèle Allouche (1 shared paper)Christine Chomienne (1 shared paper)
- Journals
- Blood (16 papers)Journal of Clinical Oncology (6 papers)Annals of Hematology (2 papers)Leukemia Research (2 papers)Acta Haematologica (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Junyuan Qi
56 papers receiving 851 citations
Peers
Comparison fields: 5 of 55
- Hematology 464
- Genetics 151
- Oncology 248
- Immunology 173
- Pathology and Forensic Medicine 109
Countries citing papers authored by Junyuan Qi
This map shows the geographic impact of Junyuan Qi'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 Junyuan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyuan Qi more than expected).
Fields of papers citing papers by Junyuan Qi
This network shows the impact of papers produced by Junyuan Qi. 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 Junyuan Qi. The network helps show where Junyuan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyuan Qi, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 181 | |
| 2 | 2002 | 94 | |
| 3 | 2014 | 60 | |
| 4 | 2003 | 58 | |
| 5 | 2015 | 53 | |
| 6 | 2014 | 50 | |
| 7 | 2022 | 35 | |
| 8 | 2012 | 32 | |
| 9 | 2011 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2015 | 26 | |
| 12 | 2022 | 21 | |
| 13 | 2009 | 21 | |
| 14 | 2021 | 14 | |
| 15 | 2013 | 14 | |
| 16 | 2013 | 12 | |
| 17 | 2012 | 11 | |
| 18 | 2014 | 9 | |
| 19 | 2010 | 8 | |
| 20 | 2010 | 7 |
About Junyuan Qi
Junyuan Qi is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Immunology, having authored 67 papers that have together received 865 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Protein Degradation and Inhibitors (6 papers), Peptidase Inhibition and Analysis (5 papers), Advanced Breast Cancer Therapies (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Hematology (464 citations), Genetics (151 citations), Oncology (248 citations), Immunology (173 citations) and Pathology and Forensic Medicine (109 citations). Junyuan Qi has collaborated with scholars based in China, United States and France. Frequent co-authors include Dehui Zou, Florence Smadja‐Joffe, Lugui Qiu, Gang An, Zengjun Li, Shuhua Yi, Michèle Allouche, Christine Chomienne, Lugui Qiu and C Jasmin. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Hematology, Leukemia Research and Acta Haematologica.
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.