Ming Hou

10.0k citations
257 papers · 5.7k · h-index 40

Impact in

  • Hematology top 0.1%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research

Papers in

Ming Hou

243 papers receiving 5.5k citations

Peers

Ming Hou
Comparison fields: 5 of 125
  • Hematology 3.9k
  • Genetics 753
  • Immunology and Allergy 383
  • Pathology and Forensic Medicine 1.0k
  • Immunology 961
Replace Jun Peng with:
Jun Peng China
Yoshiaki Tomiyama Japan
Adam S. Asch United States
Sentot Santoso Germany
Jean‐François Rossi France
Coen Maas Netherlands
Daniel T. Eitzman United States
Thomas Luther Germany
Yukio Ozaki Japan
Hiroaki Niiro Japan
Ming Hou relative to Jun Peng China Jun Peng's profile →
Citations per field
00.5×1.5×
Jun Peng · 1×
Citations per year

Countries citing papers authored by Ming Hou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Hou Line = papers co-authored together Ming Hou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015278
2 2015157
3 2019131
4 2006129
5 2003116
6 201495
7 200788
8 200785
9 200982
10 201682
11 201181
12 201779
13 201777
14 200876
15 200976
16 201275
17 201075
18 201071
19 202070
20 202067

About Ming Hou

Ming Hou is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Immunology and Pulmonary and Respiratory Medicine, having authored 257 papers that have together received 5.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (175 papers), Blood groups and transfusion (69 papers), Autoimmune Bullous Skin Diseases (39 papers), Chronic Lymphocytic Leukemia Research (35 papers), Cell Adhesion Molecules Research (19 papers), Immune Cell Function and Interaction (18 papers), Blood properties and coagulation (15 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Hematology (3.9k citations), Genetics (753 citations), Immunology and Allergy (383 citations), Pathology and Forensic Medicine (1.0k citations) and Immunology (961 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, Linlin Shao, Daoxin Ma and Hans Wadenvik. Their work appears in journals such as Blood, British Journal of Haematology, Thrombosis Research, European Journal Of Haematology and Thrombosis and Haemostasis.

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.

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