Ming Hou
Impact in
- Hematology top 0.1%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 198
- Platelet Disorders and Treatments 184
- Blood groups and transfusion 85
- Immunology 61
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 16
- Co-authors
- Jun Peng (109 shared papers)Yu Hou (50 shared papers)Xinguang Liu (31 shared papers)Xuebin Ji (17 shared papers)Ping Qin (28 shared papers)Li-Zhen Li (18 shared papers)Lin Wang (18 shared papers)Daoxin Ma (20 shared papers)
- Journals
- Blood (48 papers)British Journal of Haematology (17 papers)Thrombosis Research (13 papers)European Journal Of Haematology (9 papers)Annals of Hematology (7 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Hou
238 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 125
- Hematology 3.8k
- Genetics 914
- Immunology and Allergy 453
- Pathology and Forensic Medicine 1.2k
- Immunology 1.1k
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 249 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 260 | |
| 2 | 2015 | 145 | |
| 3 | 2006 | 123 | |
| 4 | 2019 | 120 | |
| 5 | 2003 | 113 | |
| 6 | 2014 | 91 | |
| 7 | 2007 | 85 | |
| 8 | 2007 | 83 | |
| 9 | 2009 | 78 | |
| 10 | 2008 | 76 | |
| 11 | 2017 | 75 | |
| 12 | 2009 | 75 | |
| 13 | 2011 | 74 | |
| 14 | 2012 | 74 | |
| 15 | 2016 | 74 | |
| 16 | 2017 | 72 | |
| 17 | 2010 | 72 | |
| 18 | 2010 | 70 | |
| 19 | 2014 | 65 | |
| 20 | 2020 | 63 |
About Ming Hou
Ming Hou is a scholar working on Hematology, Immunology, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 249 papers that have together received 5.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (184 papers), Blood groups and transfusion (85 papers), Autoimmune Bullous Skin Diseases (45 papers), Chronic Lymphocytic Leukemia Research (42 papers), Cell Adhesion Molecules Research (28 papers), Blood properties and coagulation (20 papers), Immune Cell Function and Interaction (19 papers) and T-cell and B-cell Immunology (16 papers). The work is most often cited by research in Hematology (3.8k citations), Genetics (914 citations), Immunology and Allergy (453 citations), Pathology and Forensic Medicine (1.2k citations) and Immunology (1.1k citations). Ming Hou has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jun Peng, Yu Hou, Xinguang Liu, Xuebin Ji, Ping Qin, Li-Zhen Li, Lin Wang, Daoxin Ma, Linlin Shao and Hans Wadenvik. Their work appears in journals such as Blood, British Journal of Haematology, Thrombosis Research, European Journal Of Haematology 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.