Ming Hou
Impact in
- Hematology top 0.1%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- T-cell and B-cell Immunology
Papers in
- Hematology 219
- Platelet Disorders and Treatments 199
- Multiple Myeloma Research and Treatments 6
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 4
- Blood groups and transfusion 4
- Immunology 17
- T-cell and B-cell Immunology 12
- Co-authors
- Jun Peng (110 shared papers)Yu Hou (49 shared papers)Xinguang Liu (30 shared papers)Daoxin Ma (22 shared papers)Xuebin Ji (17 shared papers)Ping Qin (25 shared papers)Heyu Ni (16 shared papers)Xiaojuan Zhu (12 shared papers)
In The Last Decade
Ming Hou
249 papers receiving 7.7k citations
Ming Hou's Hit Papers
Peers
Comparison fields: 5 of 117
- Hematology 5.8k
- Immunology 456
- Genetics 152
- Biochemistry 93
- Oncology 285
Countries citing papers authored by Ming Hou
This map shows the geographic impact of Ming Hou'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 Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Hou more than expected).
Fields of papers citing papers by Ming Hou
This network shows the impact of papers produced by Ming Hou. 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 Hou. The network helps show where Ming Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Hou, 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 262 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Updated international consensus report on the investigation and management of primary immune thrombocytopenia Hit paper breakdown → | 2019 | 770 |
| 2 | 2015 | 315 | |
| 3 | 2017 | 203 | |
| 4 | 2015 | 177 | |
| 5 | 2019 | 149 | |
| 6 | 2006 | 142 | |
| 7 | 2009 | 132 | |
| 8 | 2003 | 120 | |
| 9 | 2014 | 111 | |
| 10 | 2015 | 95 | |
| 11 | 2007 | 94 | |
| 12 | 2008 | 93 | |
| 13 | 2011 | 92 | |
| 14 | 2017 | 88 | |
| 15 | 2009 | 87 | |
| 16 | 2016 | 86 | |
| 17 | 2020 | 82 | |
| 18 | 2017 | 81 | |
| 19 | 2008 | 78 | |
| 20 | 2009 | 78 |
About Ming Hou
Ming Hou is a scholar working on Hematology, Immunology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 262 papers that have together received 7.8k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (199 papers), T-cell and B-cell Immunology (12 papers), Multiple Myeloma Research and Treatments (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (5.8k citations), Immunology (456 citations), Genetics (152 citations), Biochemistry (93 citations) and Oncology (285 citations). Ming Hou has collaborated with scholars based in China, Sweden and Canada. Frequent co-authors include Jun Peng, Yu Hou, Xinguang Liu, Daoxin Ma, Xuebin Ji, Ping Qin, Heyu Ni, Xiaojuan Zhu, Linlin Shao and James Bruce Bussel. Their work appears in journals such as Blood, British Journal of Haematology, Thrombosis Research, American Journal of Hematology and European 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.