Mingjiang Xu
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 58
- Acute Myeloid Leukemia Research 37
- Chronic Myeloid Leukemia Treatments 16
- Genetics 37
- Myeloproliferative Neoplasms: Diagnosis and Treatment 36
- Co-authors
- Feng‐Chun YangRonald HoffmanJiapeng WangChen‐Leng CaiTakefumi IshiiE BrunoBruce PetersenZhe Li
- Journals
- Blood (30 papers)Experimental Hematology (6 papers)Nature Communications (4 papers)Leukemia (4 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mingjiang Xu
97 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Hematology 1.7k
- Genetics 1.5k
- Molecular Biology 3.0k
- Rheumatology 585
- Cancer Research 499
Countries citing papers authored by Mingjiang Xu
This map shows the geographic impact of Mingjiang Xu'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 Mingjiang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjiang Xu more than expected).
Fields of papers citing papers by Mingjiang Xu
This network shows the impact of papers produced by Mingjiang Xu. 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 Mingjiang Xu. The network helps show where Mingjiang Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingjiang Xu, 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 | 2023 | 3 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 9 | |
| 5 | 2018 | 79 | |
| 6 | 2018 | 18 | |
| 7 | 2017 | 81 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 28 | |
| 11 | Interleukin 8/KC enhances G-CSF induced hematopoietic stem/progenitor cell mobilization in Fancg deficient mice | 2014 | 2 |
| 12 | 2014 | 13 | |
| 13 | 2012 | 14 | |
| 14 | 2010 | 55 | |
| 15 | 2010 | 22 | |
| 16 | 2009 | 67 | |
| 17 | 2009 | 13 | |
| 18 | 2009 | 30 | |
| 19 | 2009 | 134 | |
| 20 | 2006 | 4 |
About Mingjiang Xu
Mingjiang Xu is a scholar working on Hematology, Genetics, Rheumatology, Cancer Research and Molecular Biology, having authored 101 papers that have together received 4.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (37 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (36 papers), Eosinophilic Disorders and Syndromes (21 papers), Epigenetics and DNA Methylation (16 papers), Chronic Myeloid Leukemia Treatments (16 papers), RNA Research and Splicing (10 papers), Cancer-related molecular mechanisms research (9 papers) and Kruppel-like factors research (9 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (1.5k citations), Molecular Biology (3.0k citations), Rheumatology (585 citations) and Cancer Research (499 citations). Mingjiang Xu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Feng‐Chun Yang, Ronald Hoffman, Jiapeng Wang, Chen‐Leng Cai, Takefumi Ishii, E Bruno, Bruce Petersen, Zhe Li, Xiaoqiang Cai and John Mascarenhas. Their work appears in journals such as Blood, Experimental Hematology, Nature Communications, Leukemia and Journal of Clinical Investigation.
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.