Mingqiang Ren
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Rheumatology top 10%
- Eosinophilic Disorders and Syndromes
Papers in
- Hematology 15
- Chronic Myeloid Leukemia Treatments 11
- Acute Myeloid Leukemia Research 4
- Rheumatology 15
- Eosinophilic Disorders and Syndromes 15
- Co-authors
- John K. CowellHaiyan QinNicoletta SacchiРоберто ПилиTianxiang HuElena SironiQing WuSalvatore Toma
- Journals
- Blood (3 papers)Oncotarget (3 papers)International Journal of Cancer (3 papers)Cancer Research (3 papers)Medicine (2 papers)
- Partner nations
- United StatesChinaGeorgia
In The Last Decade
Mingqiang Ren
37 papers receiving 822 citations
Peers
Comparison fields: 5 of 81
- Hematology 127
- Rheumatology 134
- Molecular Biology 586
- Genetics 90
- Cancer Research 107
Countries citing papers authored by Mingqiang Ren
This map shows the geographic impact of Mingqiang Ren'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 Mingqiang Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingqiang Ren more than expected).
Fields of papers citing papers by Mingqiang Ren
This network shows the impact of papers produced by Mingqiang Ren. 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 Mingqiang Ren. The network helps show where Mingqiang Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingqiang Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 48 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 2 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 19 | |
| 10 | 2016 | 44 | |
| 11 | 2013 | 22 | |
| 12 | 2013 | 63 | |
| 13 | 2013 | 25 | |
| 14 | 2012 | 4 | |
| 15 | 2011 | 28 | |
| 16 | 2011 | 19 | |
| 17 | 2009 | 24 | |
| 18 | The heterogeneous scenario at the basis of RARβ2 epigenetic silencing and RA resistance in breast epithelial cells | 2006 | 1 |
| 19 | 2005 | 29 | |
| 20 | Sasa health exerts a protective effect on Her2/NeuN mammary tumorigenesis. | 2004 | 26 |
About Mingqiang Ren
Mingqiang Ren is a scholar working on Hematology, Rheumatology, Genetics, Molecular Biology and Cell Biology, having authored 41 papers that have together received 837 indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (15 papers), Fibroblast Growth Factor Research (11 papers), Chronic Myeloid Leukemia Treatments (11 papers), Retinoids in leukemia and cellular processes (6 papers), Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Hematology (127 citations), Rheumatology (134 citations), Molecular Biology (586 citations), Genetics (90 citations) and Cancer Research (107 citations). Mingqiang Ren has collaborated with scholars based in United States, China and Georgia. Frequent co-authors include John K. Cowell, Haiyan Qin, Nicoletta Sacchi, Роберто Пили, Tianxiang Hu, Elena Sironi, Qing Wu, Salvatore Toma, Silvia Maria Sirchia and Guido Nicolò. Their work appears in journals such as Blood, Oncotarget, International Journal of Cancer, Cancer Research and Medicine.
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.