Ming‐Chi Liu

1.0k citations
15 papers · 573 · h-index 10

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 2
    • Chronic Lymphocytic Leukemia Research 2

Ming‐Chi Liu

13 papers receiving 558 citations

Peers

Ming‐Chi Liu
Comparison fields: 5 of 67
  • Hematology 349
  • Genetics 145
  • Pathology and Forensic Medicine 83
  • Cancer Research 67
  • Oncology 80
Replace L C Chan with:
L C Chan Hong Kong
Wendelien Zeijlemaker Netherlands
Adam J. Lamble United States
Derek Bouman Canada
Asra Ahmed United States
Hélène Dreau United Kingdom
Tekla Hornakova Belgium
Katharina Rothe Canada
Matthew T. Witkowski United States
Jairo Matthews United States
Ming‐Chi Liu relative to L C Chan Hong Kong L C Chan's profile →
Citations per field
00.5×4.2×
L C Chan · 1×
Citations per year

Countries citing papers authored by Ming‐Chi Liu

Since Specialization
Citations

This map shows the geographic impact of Ming‐Chi Liu'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‐Chi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chi Liu more than expected).

Fields of papers citing papers by Ming‐Chi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chi Liu. 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‐Chi Liu. The network helps show where Ming‐Chi Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Chi Liu, 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‐Chi Liu Line = papers co-authored together Ming‐Chi Liu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010161
2 2001135
3 199591
4 199759
5 200230
6 201724
7 201617
8 202017
9 201313
10 199513
11 19988
12 20153
13 20102
14 20250
15 20110

About Ming‐Chi Liu

Ming‐Chi Liu is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology, having authored 15 papers that have together received 573 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Online and Blended Learning (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Semantic Web and Ontologies (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (349 citations), Genetics (145 citations), Pathology and Forensic Medicine (83 citations), Cancer Research (67 citations) and Oncology (80 citations). Ming‐Chi Liu has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Fen‐Yu Lee, Ming‐Ching Shen, Yao‐Chang Chen, Woei Tsay, Chiu‐Hwa Wang, Sou‐Ming Chuang, Yee‐Chun Chen and Yueh‐Min Huang. Their work appears in journals such as British Journal of Haematology, Leukemia Research, Smart Learning Environments, Blood and American Journal 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.

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