Ming Qi
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 2%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 68
- Multiple Myeloma Research and Treatments 67
- Oncology 36
- Peptidase Inhibition and Analysis 13
- Viral-associated cancers and disorders 12
- Co-authors
- Xiang Qin (27 shared papers)Wojciech Zaręba (14 shared papers)Scott McNitt (14 shared papers)Jennifer L. Robinson (14 shared papers)Arthur J. Moss (13 shared papers)María‐Victoria Mateos (23 shared papers)Ilan Goldenberg (13 shared papers)Tahamtan Ahmadi (9 shared papers)
- Journals
- Blood (30 papers)Journal of Clinical Oncology (18 papers)British Journal of Haematology (4 papers)Clinical Cancer Research (3 papers)Annals of Hematology (3 papers)
- Partner nations
- United StatesSpainBelgium
In The Last Decade
Ming Qi
106 papers receiving 3.8k citations
Ming Qi's Hit Papers
Peers
Comparison fields: 5 of 106
- Hematology 1.7k
- Oncology 1.3k
- Cardiology and Cardiovascular Medicine 1.0k
- Genetics 296
- Molecular Biology 1.5k
Countries citing papers authored by Ming Qi
This map shows the geographic impact of Ming 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 Ming Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Qi more than expected).
Fields of papers citing papers by Ming Qi
This network shows the impact of papers produced by Ming 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 Ming Qi. The network helps show where Ming Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Daratumumab, Bortezomib, and Dexamethasone for Multiple Myeloma Hit paper breakdown → | 2016 | 1065 |
| 2 | 2007 | 215 | |
| 3 | 2006 | 207 | |
| 4 | 2008 | 198 | |
| 5 | 2013 | 169 | |
| 6 | 2020 | 164 | |
| 7 | 2011 | 159 | |
| 8 | 2018 | 104 | |
| 9 | 2008 | 101 | |
| 10 | 2005 | 90 | |
| 11 | 2010 | 86 | |
| 12 | 2011 | 79 | |
| 13 | 2015 | 77 | |
| 14 | 2020 | 76 | |
| 15 | 2006 | 64 | |
| 16 | 2019 | 56 | |
| 17 | 2012 | 54 | |
| 18 | 2019 | 51 | |
| 19 | 2015 | 51 | |
| 20 | 2021 | 41 |
About Ming Qi
Ming Qi is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 108 papers that have together received 3.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (67 papers), Chronic Lymphocytic Leukemia Research (25 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Lymphoma Diagnosis and Treatment (14 papers), Peptidase Inhibition and Analysis (13 papers), Cardiac electrophysiology and arrhythmias (12 papers), Viral-associated cancers and disorders (12 papers) and Synthesis and Biological Evaluation (12 papers). The work is most often cited by research in Hematology (1.7k citations), Oncology (1.3k citations), Cardiology and Cardiovascular Medicine (1.0k citations), Genetics (296 citations) and Molecular Biology (1.5k citations). Ming Qi has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Xiang Qin, Wojciech Zaręba, Scott McNitt, Jennifer L. Robinson, Arthur J. Moss, María‐Victoria Mateos, Ilan Goldenberg, Tahamtan Ahmadi, Katja Weisel and Ajay K. Nooka. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Clinical Cancer Research and Annals of Hematology.
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.